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The MarketWatch News Department was not involved in the creation of this content.

Dec 09, 2022 (The Expresswire) -- Final Report will add the analysis of the impact of Russia-Ukraine War and COVID-19 on this industry.

"Artificial Intelligence in IoT Market" Insights 2022 - By Applications (Small and Medium Scale Business, Large Scale Busines), By Types (On-Premise, Cloud-based), By Segmentation analysis, Regions and Forecast to 2028. The Global Artificial Intelligence in IoT market Report provides In-depth analysis on the market status of the Artificial Intelligence in IoT Top manufacturers with best facts and figures, meaning, Definition, SWOT analysis, PESTAL analysis, expert opinions and the latest developments across the globe., the Artificial Intelligence in IoT Market Report contains Full TOC, Tables and Figures, and Chart with Key Analysis, Pre and Post COVID-19 Market Outbreak Impact Analysis and Situation by Regions.

Artificial Intelligence in IoT Market Size is projected to Reach Multimillion USD by 2028, In comparison to 2021, at unexpected CAGR during the forecast Period 2022-2028.

Browse Detailed TOC, Tables and Figures with Charts which is spread across 129 Pages that provides exclusive data, information, vital statistics, trends, and competitive landscape details in this niche sector.

Considering the economic change due to COVID-19 and Russia-Ukraine War Influence, Artificial Intelligence in IoT, which accounted for % of the global market of Artificial Intelligence in IoT in 2021

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Artificial Intelligence in IoT Market Report identifies various key players in the market and sheds light on their strategies and collaborations to combat competition. The comprehensive report provides a two-dimensional picture of the market. By knowing the global revenue of manufacturers, the global price of manufacturers, and the production by manufacturers during the forecast period of 2022 to 2028, the reader can identify the footprints of manufacturers in the Artificial Intelligence in IoT industry.

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Artificial Intelligence in IoT Market - Competitive and Segmentation Analysis:

Artificial Intelligence in IoT Market Reportproviding an overview of successful marketing strategies, market contributions, and accurate developments of leading companies, the report also offers a dashboard overview of leading companies' past and present performance. Several methodologies and analyses are used in the research report to provide in-depth and accurate information about the Artificial Intelligence in IoT Market.

The Major players covered in the Artificial Intelligence in IoT market report are:

● Google
● Baidu
● IBM
● Microsoft
● SAP
● Intel
● Salesforce
● Brighterion
● Amazon
● AT and T
● CISCO
● ORACLE
● HITACHI
● KITT.AI
● IFlyTek
● Megvii Technology
● Albert Technologies
● H2O.ai
● Brainasoft
● Yseop
● Ipsoft
● NanoRep(LogMeIn)
● Ada Support
● Astute Solutions
● IDEAL.com
● Wipro

Short Description About Artificial Intelligence in IoT Market:

The Global Artificial Intelligence in IoT market is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2028. In 2021, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. More specifically, Kaplan and Haenlein define AI as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation”. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".

Market Analysis and Insights: Global Artificial Intelligence in IoT Market

The global Artificial Intelligence in IoT market size is projected to reach USD million by 2028, from USD million in 2021, at a CAGR of % during 2022-2028.

Fully considering the economic change by this health crisis, On-Premise accounting for % of the Artificial Intelligence in IoT global market in 2021, is projected to value USD million by 2028, growing at a revised % CAGR in the post-COVID-19 period. While Small and Medium Scale Business segment is altered to an % CAGR throughout this forecast period.

China Artificial Intelligence in IoT market size is valued at USD million in 2021, while the North America and Europe Artificial Intelligence in IoT are USD million and USD million, severally. The proportion of the North America is % in 2021, while China and Europe are % and % respectively, and it is predicted that China proportion will reach % in 2028, trailing a CAGR of % through the analysis period. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6-year period. As for the Europe Artificial Intelligence in IoT landscape, Germany is projected to reach USD million by 2028 trailing a CAGR of % over the forecast period.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial Intelligence in IoT market to help players in achieving a strong market position. Buyers of the report can access Checked and reliable market forecasts, including those for the overall size of the global Artificial Intelligence in IoT market in terms of revenue.

Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial Intelligence in IoT market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial Intelligence in IoT market.

Global Artificial Intelligence in IoT Scope and Market Size

Artificial Intelligence in IoT market is segmented by players, region (country), by Type and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in IoT market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2017-20

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Artificial Intelligence in IoT Market is further classified on the basis of region as follows:

● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam) ● South America (Brazil, Argentina, Columbia etc.) ● Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

This Artificial Intelligence in IoT Market Research/Analysis Report Contains Answers to your following Questions

● What are the global trends in the Artificial Intelligence in IoT market? Would the market witness an increase or decline in the demand in the coming years? ● What is the estimated demand for different types of products in Artificial Intelligence in IoT? What are the upcoming industry applications and trends for Artificial Intelligence in IoT market? ● What Are Projections of Global Artificial Intelligence in IoT Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export? ● Where will the strategic developments take the industry in the mid to long-term? ● What are the factors contributing to the final price of Artificial Intelligence in IoT? What are the raw materials used for Artificial Intelligence in IoT manufacturing? ● How big is the opportunity for the Artificial Intelligence in IoT market? How will the increasing adoption of Artificial Intelligence in IoT for mining impact the growth rate of the overall market? ● How much is the global Artificial Intelligence in IoT market worth? What was the value of the market In 2020? ● Who are the major players operating in the Artificial Intelligence in IoT market? Which companies are the front runners? ● Which are the accurate industry trends that can be implemented to generate additional revenue streams? ● What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for Artificial Intelligence in IoT Industry?

Customization of the Report

Our research analysts will help you to get customized details for your report, which can be modified in terms of a specific region, application or any statistical details. In addition, we are always willing to comply with the study, which triangulated with your own data to make the market research more comprehensive in your perspective.

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Detailed TOC of Global Artificial Intelligence in IoT Market Insights and Forecast to 2028

1 Artificial Intelligence in IoT Market Overview
1.1 Product Overview and Scope of Artificial Intelligence in IoT
1.2 Artificial Intelligence in IoT Segment by Type
1.2.1 Global Artificial Intelligence in IoT Market Size Growth Rate Analysis by Type 2022 VS 2028
1.3 Artificial Intelligence in IoT Segment by Application
1.3.1 Global Artificial Intelligence in IoT Consumption Comparison by Application: 2022 VS 2028
1.4 Global Market Growth Prospects
1.4.1 Global Artificial Intelligence in IoT Revenue Estimates and Forecasts (2017-2028)
1.4.2 Global Artificial Intelligence in IoT Production Estimates and Forecasts (2017-2028)
1.5 Global Market Size by Region
1.5.1 Global Artificial Intelligence in IoT Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028
1.5.2 North America Artificial Intelligence in IoT Estimates and Forecasts (2017-2028)
1.5.3 Europe Artificial Intelligence in IoT Estimates and Forecasts (2017-2028)
1.5.4 China Artificial Intelligence in IoT Estimates and Forecasts (2017-2028)
1.5.5 Japan Artificial Intelligence in IoT Estimates and Forecasts (2017-2028)
1.5.6 South Korea Artificial Intelligence in IoT Estimates and Forecasts (2017-2028)

2 Market Competition by Manufacturers
2.1 Global Artificial Intelligence in IoT Production Market Share by Manufacturers (2017-2022)
2.2 Global Artificial Intelligence in IoT Revenue Market Share by Manufacturers (2017-2022)
2.3 Artificial Intelligence in IoT Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Artificial Intelligence in IoT Average Price by Manufacturers (2017-2022)
2.5 Manufacturers Artificial Intelligence in IoT Production Sites, Area Served, Product Types
2.6 Artificial Intelligence in IoT Market Competitive Situation and Trends
2.6.1 Artificial Intelligence in IoT Market Concentration Rate
2.6.2 Global 5 and 10 Largest Artificial Intelligence in IoT Players Market Share by Revenue
2.6.3 Mergers and Acquisitions, Expansion

3 Production by Region
3.1 Global Production of Artificial Intelligence in IoT Market Share by Region (2017-2022)
3.2 Global Artificial Intelligence in IoT Revenue Market Share by Region (2017-2022)
3.3 Global Artificial Intelligence in IoT Production, Revenue, Price and Gross Margin (2017-2022)
3.4 North America Artificial Intelligence in IoT Production
3.4.1 North America Artificial Intelligence in IoT Production Growth Rate (2017-2022)
3.4.2 North America Artificial Intelligence in IoT Production, Revenue, Price and Gross Margin (2017-2022)
3.5 Europe Artificial Intelligence in IoT Production
3.5.1 Europe Artificial Intelligence in IoT Production Growth Rate (2017-2022)
3.5.2 Europe Artificial Intelligence in IoT Production, Revenue, Price and Gross Margin (2017-2022)
3.6 China Artificial Intelligence in IoT Production
3.6.1 China Artificial Intelligence in IoT Production Growth Rate (2017-2022)
3.6.2 China Artificial Intelligence in IoT Production, Revenue, Price and Gross Margin (2017-2022)
3.7 Japan Artificial Intelligence in IoT Production
3.7.1 Japan Artificial Intelligence in IoT Production Growth Rate (2017-2022)
3.7.2 Japan Artificial Intelligence in IoT Production, Revenue, Price and Gross Margin (2017-2022)
3.8 South Korea Artificial Intelligence in IoT Production
3.8.1 South Korea Artificial Intelligence in IoT Production Growth Rate (2017-2022)
3.8.2 South Korea Artificial Intelligence in IoT Production, Revenue, Price and Gross Margin (2017-2022)

4 Global Artificial Intelligence in IoT Consumption by Region
4.1 Global Artificial Intelligence in IoT Consumption by Region
4.1.1 Global Artificial Intelligence in IoT Consumption by Region
4.1.2 Global Artificial Intelligence in IoT Consumption Market Share by Region
4.2 North America
4.2.1 North America Artificial Intelligence in IoT Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Artificial Intelligence in IoT Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Artificial Intelligence in IoT Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 China Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Artificial Intelligence in IoT Consumption by Country
4.5.2 Mexico
4.5.3 Brazil

5 Segment by Type
5.1 Global Artificial Intelligence in IoT Production Market Share by Type (2017-2022)
5.2 Global Artificial Intelligence in IoT Revenue Market Share by Type (2017-2022)
5.3 Global Artificial Intelligence in IoT Price by Type (2017-2022)

6 Segment by Application
6.1 Global Artificial Intelligence in IoT Production Market Share by Application (2017-2022)
6.2 Global Artificial Intelligence in IoT Revenue Market Share by Application (2017-2022)
6.3 Global Artificial Intelligence in IoT Price by Application (2017-2022)

7 Key Companies Profiled
7.1 Company 1
7.1.1 Company 1 Artificial Intelligence in IoT Corporation Information
7.1.2 Company 1 Artificial Intelligence in IoT Product Portfolio
7.1.3 Company 1 Artificial Intelligence in IoT Production, Revenue, Price and Gross Margin (2017-2022)
7.1.4 Company 1 Main Business and Markets Served
7.1.5 Company 1 accurate Developments/Updates

Continued..

8 Artificial Intelligence in IoT Manufacturing Cost Analysis
8.1 Artificial Intelligence in IoT Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Artificial Intelligence in IoT
8.4 Artificial Intelligence in IoT Industrial Chain Analysis

9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Artificial Intelligence in IoT Distributors List
9.3 Artificial Intelligence in IoT Customers

10 Market Dynamics
10.1 Artificial Intelligence in IoT Industry Trends
10.2 Artificial Intelligence in IoT Market Drivers
10.3 Artificial Intelligence in IoT Market Challenges
10.4 Artificial Intelligence in IoT Market Restraints

11 Production and Supply Forecast
11.1 Global Forecasted Production of Artificial Intelligence in IoT by Region (2023-2028)
11.2 North America Artificial Intelligence in IoT Production, Revenue Forecast (2023-2028)
11.3 Europe Artificial Intelligence in IoT Production, Revenue Forecast (2023-2028)
11.4 China Artificial Intelligence in IoT Production, Revenue Forecast (2023-2028)
11.5 Japan Artificial Intelligence in IoT Production, Revenue Forecast (2023-2028)
11.6 South Korea Artificial Intelligence in IoT Production, Revenue Forecast (2023-2028)

12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Artificial Intelligence in IoT
12.2 North America Forecasted Consumption of Artificial Intelligence in IoT by Country
12.3 Europe Market Forecasted Consumption of Artificial Intelligence in IoT by Country
12.4 Asia Pacific Market Forecasted Consumption of Artificial Intelligence in IoT by Region
12.5 Latin America Forecasted Consumption of Artificial Intelligence in IoT by Country

13 Forecast by Type and by Application (2023-2028)
13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)
13.1.1 Global Forecasted Production of Artificial Intelligence in IoT by Type (2023-2028)
13.1.2 Global Forecasted Revenue of Artificial Intelligence in IoT by Type (2023-2028)
13.1.3 Global Forecasted Price of Artificial Intelligence in IoT by Type (2023-2028)
13.2 Global Forecasted Consumption of Artificial Intelligence in IoT by Application (2023-2028)
13.2.1 Global Forecasted Production of Artificial Intelligence in IoT by Application (2023-2028)
13.2.2 Global Forecasted Revenue of Artificial Intelligence in IoT by Application (2023-2028)
13.2.3 Global Forecasted Price of Artificial Intelligence in IoT by Application (2023-2028)

14 Research Finding and Conclusion

15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer

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Killexams : Lessons in Cyber Resiliency That Manufacturers Can Learn From Healthcare

The manufacturing sector has reached an inflection point in its digitization journey. The availability of high-powered mobile devices (smartphones, tablets and the like), the industrial internet of things (IIoT), massive data creation, artificial intelligence, cloud-based technologies and the drive for competitive advantage have sparked a transformation not seen since the advent of the assembly line. 

In many cases, what was once a discrete location with on-site workers has become a massively interconnected and scaled hybrid world of digital and remote systems and employees. Warehouses and factories have transformed into global networks of automated systems, enabling significant operational and workflow efficiencies. At the same time, the digitization of supply chains has accelerated already complex infrastructures and diversified workflows with more users, roles and third parties that need access to sensitive information and infrastructure.

Securing this type of environment without disrupting employee workflows and bringing productivity to a grinding halt is seemingly insurmountable. However, this level of complexity isn’t unlike that of another dynamic industry — one with hyper-strict regulations and complicated workflows. One where getting it wrong can have life-critical consequences: healthcare.

Much like manufacturing, the healthcare sector is rapidly advancing toward a digital future reliant on new technologies that provide fast access to systems, applications and data while also managing and mitigating security risks. While each industry has its own nuances and challenges, commonalities are evident in the high degree of IT complexity and rapidly changing access requirements that must remain compliant and secure. And of course, the impact of a cyberattack or data breach on either sector can be paralyzing, resulting in essential resource shortages and devastating human outcomes. 

Is There a New Security Perimeter?

The attack surface for most manufacturing organizations has grown exponentially, catalyzed by the rise of digital warehouses, mobile technology and IIoT, which make traditional perimeter security harder to enforce. This isn’t lost on cyber criminals, who continuously evolve their tactics to breach organizations from every angle. While traditional endpoint or “perimeter-based” security made sense when networks and users were located almost entirely on-premises, networks of today require IT and security teams to control access to applications and resources through the authenticated identity of an individual or device.

Commonly referred to as “identity security,” this approach is the foundation of zero trust, and focuses on the digital identity of the requestor to ensure that only the right users or devices are provided access to the data and resources they need. If identity validation fails, access is not permitted. Though the concept of zero trust isn’t new, the adoption of technologies necessary to facilitate a zero-trust architecture are evolving.

The Appeal of Healthcare and Manufacturing 

Both healthcare and manufacturing organizations hold extremely valuable and proprietary data, and operate within IT ecosystems that are among the most complex on earth.

For financially motivated attackers, hacking systems to sell personal health information on the black market can be highly lucrative. For others motivated by malice — like state-sponsored hacker groups — the potential human safety impact of compromising healthcare systems is highly appealing.

Similarly, attacks on manufacturing organizations are becoming more pervasive, given the power to impact global supply chains. Consider the U.S. infant formula shortage earlier this year , when safety concerns prompted an operational shutdown by one of three major formula producers and resulted in significant and persistent national disruption. Imagine the large-scale distress if a cyberattack were to simultaneously take out two or even three of these producers, affecting populations across countries, continents, or the world.

The pandemic also caused huge disruption throughout both sectors. In healthcare, the rapid transition to telehealth, coupled with an unimaginable influx of patients and new clinicians, resulted in the adoption of technologies that worked but created new access points for bad actors to breach. Likewise, manufacturing transitioned to remote working, embraced new risk-management tools and implemented advanced analytics. In both cases, accelerated digitization illuminated security gaps that continue to widen.

Using Digital Identity

In the spring of 2022, the Biden Administration addressed today’s evolving cyber threats by releasing a federal strategy to move U.S. government agencies to zero trust standards. The executive order was released during rising attacks from the Russia-Ukraine war, with the goal of improving security and reducing cyber threats across the public and private sectors at a critical time.

A zero trust architecture is designed to put logical barriers around applications, forcing users to be authenticated, authorized and continuously validated before being granted access to applications and data. This requires a comprehensive digital identity strategy that enables seamless and compliant user workflows — an approach that the highly regulated healthcare industry is widely adopting.

Manufacturers can take a page out of healthcare’s playbook by focusing on four processes and technologies that lay the groundwork for zero trust:

  • Implement lifecycle provisioning and de-provisioning. It’s critical for all organizations to know who has access to what systems, and the degree to which an individual can access these systems under specific conditions. Similarly, ensuring you can automatically modify and revoke access as users change roles or leave the organization is crucial to letting the right people in and keeping the wrong people out. Identity-governance tools can deliver role-based access without manual intervention. 
  • Create user checkpoints with multifactor authentication (MFA). Compromised user credentials are one of the most common initial attack vectors, so requiring two or more verification factors to gain access to network resources is of the utmost importance. MFA enables you to provide a secure, auditable chain of trust for remote network access, cloud applications, and other critical systems and workflows. Non-intrusive modalities such as biometrics and proximity-based authentication accomplish this without creating user barriers.
  • Enable a passwordless experience. Enforcing complex passwords is a security best practice, but not entirely realistic when employees must enter them into multiple applications all day, every day. Single sign-on technology eliminates password fatigue and improves compliance by reducing the need to enter usernames and passwords to access on-premises and cloud applications, shared workstations and virtual desktops. 
  • Practice the principle of least privilege. Make sure you’re not giving employees and third-party vendors more access than they need by providing just enough to complete their work, and nothing more. Privileged access management prevents overprivileged users through granular policy control at the system level. This is a corollary of step one above, and can be implemented effectively and with relatively low burden.

Today’s manufacturing organizations are increasingly complex. The key to success is ensuring that complexity doesn’t lead to elevated security risk. Implementing a digital identity architecture that enables a zero trust operational model, along with fast and efficient access for the right users, strikes the correct balance of access and security. Consider how healthcare has bolstered defenses and remained agile amid surging attacks. By drawing on insights and best practices from other sectors, manufacturers can make faster strides in advancing their cyber resiliency.

Gus Malezis is chief executive officer of Imprivata.

Thu, 01 Dec 2022 15:46:00 -0600 en text/html https://www.supplychainbrain.com/blogs/1-think-tank/post/36080-lessons-in-cyber-resiliency-that-manufacturers-can-learn-from-healthcare
Killexams : A 26-year-old who ditched his 9-to-5 is now making up to $107,000 in revenue a month selling on Amazon. Here's how he finds products that sell.
  • Trevin Peterson found out about Amazon FBA in 2017. Six months later, he quit his job.
  • Before that, he tried many different side hustles but was unsuccessful.
  • He uses a software tool and his observational skills to determine which products to sell.

For as long as Trevin Peterson can remember, he has wanted to be an entrepreneur.

He has tried just about anything to build a business. When he was 12 years old, he made flyers and handed them out in his neighborhood, offering services like lawn mowing, poop cleaning, and garbage disposal for $5 to $20 per request, he told Insider. His early entrepreneurial attempt added about $40 a week to his pocket. 

College was another path he tried. He began in 2016 by attending Utah Valley University, where he received an associate's degree in arts but dropped out before receiving his bachelor's degree. He didn't feel like he was learning anything useful or new and so he felt that college wasn't worth the cost.

One assignment really hit home for him. It was a task to put together a business plan, which Peterson not only completed but executed online — an additional step that wasn't asked for. It was an ecommerce business on Shopify selling iPhone adapters and chargers, and it was his first introduction to selling things online. 

Peterson annoyingly received a "C" for the assignment. It also didn't escape him that his professor was formerly a business owner whose venture had failed. "And I was like, 'okay, well I can't really learn from somebody that's failed a business, this doesn't make any sense," Peterson said.

The ecommerce store wasn't wildly successful but he managed to sell about $500 worth of products, he said. 

He also learned a lesson: It's hard to get people to buy things online. 

Tried, tested, and failed attempts 

While in college, he tried a clothing popup shop where he bought wholesale clothes from a boutique, and then hosted events at his house to sell them. He used a $1,500 gift from his mother-in-law to purchase the initial inventory. It wasn't a complete failure: Peterson and his wife made a little bit of money but nothing significant enough to live off of, he said.

The couple then attempted to nail down brand deals by growing an Instagram page for their dog. The account reached about 12,000 followers when some deals began to trickle in from pet brands. However, it was mostly in the form of free products and, at times, a few hundred dollars a month, which also couldn't pay the bills. 

He also tried selling call-center software for six months but didn't make a single sale. 

"The best part is, I had no idea what I was selling. I was hired to just cold call, cold email, and I was basically an appointment setter," Peterson said of the experience. 

Instead of continuing to spend his time and money in college, in 2017, he decided to work for his dad who owned a construction company. His role was that of a superintendent project manager who oversaw subcontractors for various projects. It was a job he kept for over a year. In the interim, Peterson also tried additional side hustles like selling a sports app for a network marketing company, which didn't work out because the company went out of business. 

Finding fulfillment in Amazon

In November 2017, Peterson heard about Fulfillment by Amazon from a seller friend. He didn't know that anyone could sell on Amazon and became interested in the idea. So Peterson began doing his research and within a few weeks, he was ready to launch his first product: A seatbelt gap filler. It was an item that was placed between the center console and the seat to prevent things from falling. The initial idea came from a company that was featured on Shark Tank, but he didn't know that. 

Trevin Peterson

He was able to find the product on Alibaba, the Chinese ecommerce company that provides wholesale products. He said he ordered 100 units of the gap filler for $400. To his surprise, the product did well and he sold 50 units within a few days — until he received a cease and desist letter from the patent holder of the product. 

"I didn't know I was infringing on anyone's patent, and so I basically closed down that product," Peterson said. 

He created a removal order so that Amazon's warehouse would dispose of the remainder of the units.   

He realized that the hardest part of the process was figuring out what to sell. So he began trying his luck with different products. Next, Peterson launched a car phone mount. He spent $500 on inventory and a few hundred dollars to advertise it and sold nothing. Altogether, he recalls losing about $900 on that idea. 

"I was like, 'oh, everyone loves this'. But little did I know, the competition on Amazon for this particular product was super, super high and I lost a bunch of money on that," Peterson said. 

The biggest lesson he learned from that experience was that you don't want to sell a product that has a lot of competition. This means other Amazon sellers have already amassed thousands of good reviews for the same product. 

The next product he tried was a fidget pen, which helps with ADHD. Again, it began to do well until Amazon banned selling the product without documents and approvals due to safety issues, he said. 

It wasn't until the sixth product that Peterson began to see real progress. By this time, he started to understand that there are key variables that make up a good product idea. 

"On Amazon, there are millions of shoppers, and the goal is to find a product that people are already searching for. And I didn't quite understand that concept," Peterson said of his first few attempts. 

Within six months of starting, or by May of 2018, he told Insider he was able to replace his income, which wasn't much money at the time. His 9-to-5 salary while working for his dad was about $36,000 a year. Peterson was 22 years old and his expenses were minimal. Rent living in Bluffdale, Utah was about $1,000 and he wasn't living any lavish lifestyle. Once he began to make about $2,500 in profit, he was comfortable enough to quit his job. 

"Looking back on it, it didn't feel real. What's crazy about Amazon is  I'm not doing the fulfillment. I'm just the middleman. Amazon is doing the fulfillment and all I see are numbers on the screen saying; 'Hey, I got X amount of orders'," Peterson said. "And I don't see the inventory being processed. I don't see the inventory being sent to the customer. So it didn't really feel real until I got a big fat deposit from Amazon. I was like, wait, this is real."

A few key lessons he learned included that the keywords related to a product that people are searching for should have a certain amount of search volume, and there are software tools that provide that data from Amazon. Peterson started by using Jungle Scout, a tool for search and market analytics. Today, he uses something similar called Helium 10, a Chrome extension that also shows him how much other sellers are making from that same product. 

With these tools, Peterson realized that the sweet spot was finding products with low competition but high demand. Finally, the few competitors already selling the product should have high profits. He's now selling keychains, small wallets, and party decorations because they're in that sweet spot. 

His first recommendation for anyone starting off is to look around at the products you already use on a regular basis. For example, he was driving around his neighborhood and saw a house with a big "happy birthday" sign in the yard. He thought to himself that might be a good product to consider selling. 

Once you have a few ideas of the products, you can do keyword searches to determine which ones fall within that sweet spot, he noted. 

Setting up the product 

In the beginning, Peterson spent more than 40 hours a week researching and setting up his products while he was working for his dad. Often, that meant he'd be on his computer after work from 6:00 p.m. until 2:00 a.m. on some days. This was also because the manufacturers were in different time zones. 

"The interesting thing with Amazon is it's definitely front-loaded. So the majority of the work is all upfront. You've obviously got to find a product, you've got to find a manufacturer, you've got to create your listing and take professional images," Peterson said. "There's a lot of work that goes into it upfront. But what's cool is once you have it set up, you basically just click a few buttons, you reach out to your manufacturer to reorder inventory, and your manufacturer actually sends it directly from their manufacturer to Amazon."

There are usually numerous manufacturers available on Alibaba for any given product. Peterson reaches out to as many as he can to request quotes, understand the materials they use, and what type of customizations they can do. He will often add his designs to certain products to make them unique. Once the product reaches an Amazon fulfillment center, it's ready to sell, he said. 

Trevin Peterson

There are also costs associated with getting good photographs of the products. To keep costs down and make it simple, Peterson told Insider he uses a photographer in China. The manufacturer ships one unit to the photographer who will take five to seven images for $150, he said. 

When it comes to monthly expenses, Peterson spends a lot on Amazon fees and advertising.

Overall, his biggest expenses this year have been the cost of goods, which amounted to $237,025, followed by FBA Fees at $281,079, and advertising costs at $162,282. Amazon advertising is important because it allows customers to better find your product, he said. It's a pay-per-click model. And, the more clicks that result in a sale, the more his product gets boosted to the top of Amazon's search page.

This year through November, his revenue was about $961,000. From that, he has a take-home profit of about $282,000 before tax, according to a live video and screenshots of his payments dashboard, which tracks his sales. November has been his highest month this year, with over $107,000 in revenue. The last two months of the year tend to be his most profitable as people shop for the holidays, he said. 

He now also has an Amazon sellers consulting and education firm called AMZ Champions. He also shares free tips on his YouTube channel, Instagram, and TikTok where his largest following is at over 374,000.

Fri, 02 Dec 2022 21:30:00 -0600 en-US text/html https://www.businessinsider.com/how-to-pick-products-sell-amazon-fba-six-figures-revenue-2022-12
Killexams : Proposition 65 Hits Manufacturers Far and Wide

For companies in the supply chain for consumer products sold in California, paying attention to the California law known as Proposition 65 is important. Private enforcement of the law is so widespread that many companies have been forced to learn about it. For those still unaware of the law and those aware but hoping they will not be targeted, taking proactive steps to address the law is likely the most economical path forward, both financially and in terms of company resource drain and stress.

Proposition 65 was adopted in California in 1986 through California’s ballot initiative process. Despite its age, it has not been duplicated in other states. The basic structure of its product warning provisions is: no company shall “knowingly and intentionally” supply to Californians any consumer product that could expose them to a listed carcinogen or reproductive toxin, without providing clear and reasonable warning. This prohibition/requirement applies to all companies in the supply chain for products sold in California, regardless of physical presence in California. Manufacturers, distributors, retailers, and other supply chain entities all may be subject to liability. Even entities with fewer than 10 employees often are swept up in enforcement actions, despite a carve-out for them, as a result of contractual commitments made (often unwittingly) with other suppliers.

The California agency that administers Proposition 65 maintains a list of known carcinogens and reproductive toxins. There are currently approximately 1,000 chemicals on the list, and California continues to add new chemicals

Proposition 65 authorizes penalties of up to $2,500 per day per violation. Non-governmental plaintiffs (ranging from environmental public interest organizations to individuals) can enforce the law, obtaining contractual commitments from defendants to come into compliance with the law, and can recover their attorney’s fees and a percentage of the penalties imposed. This structure has led to the development of an aggressive Proposition 65 plaintiffs’ bar. Private plaintiffs and firms have polished their practices to the point of being able to extract nuisance-value settlements very efficiently. As a result of the internet warnings requirement of the law, plaintiffs can manage an enforcement practice without ever visiting a defendant’s location.

As of this writing, the California Attorney General’s office reports 484 out-of-court settlements in 2022, and 110 consent judgments (settlements reached after the filing of a Proposition 65 lawsuit). Many of these settlements involved entire supply chains. A representative example of such a settlement might consist of the marketer, distributor and retailer of a sporting good, all operating in different states. Proposition 65 settlement agreements are publicly available here. That webpage lists defendants of all sizes and levels of sophistication.

Companies faced with private enforcement actions very often respond by settling and agreeing to treat their products as though they require a warning, even if it’s less than clear that the law requires a warning. This essentially sets up two possible paths for companies that have not yet evaluated Proposition 65 or been the target of enforcement—evaluate Prop. 65 proactively, on your own terms, with the aim of preventing an enforcement case; or wait until an enforcement case, and then urgently implement a warning program under the scrutiny of a California private enforcer (whose attorney’s fees you’ll likely pay). Proactive compliance is normally more economical than forced compliance. This holds true across a massive variety of consumer products sectors, whether that be food products, apparel, electronics, cosmetics or any number of other sectors.

Finally, a fairly typical example, drawn from the above-linked settlements page: Early in 2022, a food ingredients manufacturer located in the Midwest received notice from a private Proposition 65 plaintiffs’ attorney that a certain flour it manufactures contains lead at levels requiring a warning. By June, this company had settled out-of-court, agreeing to either reformulate the flour product or provide warnings, and agreeing to a civil penalty of approximately $5,000 and attorney’s fees of approximately $50,000. The number of settlements finalized in 2022 following this general pattern will likely near 1,000.

The California Office of Environmental Health Hazard Assessment’s (OEHHA) primary Prop. 65 webpage is a useful starting place for those looking to learn about this law.

Paul Jacobson is an associate at Spencer Fane, helping businesses manage their environmental and workplace safety challenges.

Mon, 21 Nov 2022 14:35:00 -0600 en text/html https://www.industryweek.com/the-economy/regulations/article/21255175/proposition-65-hits-manufacturers-far-and-wide
Killexams : Cloud Machine Learning Market to See Booming Growth | Google, Amazon Web Services, Alibaba Group

The latest study released on the Global Cloud Machine Learning Market by AMA Research evaluates market size, trend, and forecast to 2027. The Cloud Machine Learning market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Key Players in This Report Include:

Oracle Corporation (United States), Google Inc. (United States), International Business Machines Corporation (IBM) (United States), Alibaba Group (China), Microsoft Corporation (United States), Amazon Web Services (United States), Fair, Isaac, and Company (FICO) (United States), Tencent Cloud (China), SAP SE (Germany), Hewlett Packard Enterprise (United States)

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Definition:

Cloud Machine Learning helps data scientists and developers build Machine learning models that offer training and prediction Services. The availability of a large amount of data, increasing the need for efficient operations and Boost revenue is growing this market. Lack of skilled consultants and increasing data security can slow the growth of this market.

Market Trend:

  • Introduction of Robotic Process Automation

Market Drivers:

  • Increasing Need for Efficient Operations, Better Customer Service and Growing Sales Revenue
  • Availability of a Large Amount of Data

Market Opportunities:

  • Advancement in Cloud-Based Machine Learning Technology
  • Increasing Investment in Healthcare Industry

The Global Cloud Machine Learning Market segments and Market Data Break Down are illuminated below:

by Type (Private clouds, Public clouds, Hybrid cloud, Others), Application (Personal, Business), End User (BFSI, Retail, Healthcare, Manufacturing, Government, Others), Solution (Software, Services)

Global Cloud Machine Learning market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to help the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

  • The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
  • North America (United States, Mexico & Canada)
  • South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
  • Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
  • Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report

  • -To carefully analyze and forecast the size of the Cloud Machine Learning market by value and volume.
  • -To estimate the market shares of major segments of the Cloud Machine Learning
  • -To showcase the development of the Cloud Machine Learning market in different parts of the world.
  • -To analyze and study micro-markets in terms of their contributions to the Cloud Machine Learning market, their prospects, and individual growth trends.
  • -To offer precise and useful details about factors affecting the growth of the Cloud Machine Learning
  • -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Cloud Machine Learning market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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Major highlights from Table of Contents:

Cloud Machine Learning Market Study Coverage:

  • It includes major manufacturers, emerging player’s growth story, and major business segments of Cloud Machine Learning market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
  • Cloud Machine Learning Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
  • Cloud Machine Learning Market Production by Region Cloud Machine Learning Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
  • Key Points Covered in Cloud Machine Learning Market Report:
  • Cloud Machine Learning Overview, Definition and Classification Market drivers and barriers
  • Cloud Machine Learning Market Competition by Manufacturers
  • Impact Analysis of COVID-19 on Cloud Machine Learning Market
  • Cloud Machine Learning Capacity, Production, Revenue (Value) by Region (2021-2027)
  • Cloud Machine Learning Supply (Production), Consumption, Export, Import by Region (2021-2027)
  • Cloud Machine Learning Production, Revenue (Value), Price Trend by Type {Payment Gateway, Merchant Account, Subscription Management,}
  • Cloud Machine Learning Manufacturers Profiles/Analysis Cloud Machine Learning Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
  • Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

Browse Complete Summary and Table of Content @ https://www.advancemarketanalytics.com/reports/93764-global-cloud-machine-learning-market#utm_source=DigitaljournalShubhangi

Key questions answered

  • How feasible is Cloud Machine Learning market for long-term investment?
  • What are influencing factors driving the demand for Cloud Machine Learning near future?
  • What is the impact analysis of various factors in the Global Cloud Machine Learning market growth?
  • What are the accurate trends in the regional market and how successful they are?

Thanks for studying this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

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Wed, 30 Nov 2022 17:44:00 -0600 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/cloud-machine-learning-market-to-see-booming-growth-google-amazon-web-services-alibaba-group
Killexams : Technology Developments on Display at DiabetesMine Fall Summit No result found, try new keyword!At the DiabetesMine Fall Innovation Summit, medical device manufacturers, patient entrepreneurs, and innovators gathered in San Francisco to display the latest developments in diabetes technology. Mon, 05 Dec 2022 06:28:00 -0600 en-US text/html https://diatribe.org/technology-developments-display-diabetesmine-fall-summit Killexams : The EPA Is Hunting Performance Shops and Diesel Tuners Are to Blame

Parts suppliers, race shops and tuners alike have all found themselves in the crosshairs of an increasingly strict EPA thanks to the latest round of National Compliance Initiatives, which specifically target the reduction of emissions coming from modified exhaust systems. This focus from the EPA has seen aftermarket companies hit with millions in fines, as well as criminal punishment in certain cases. For decades, the EPA allowed aftermarket companies to operate in this way, but things have changed. We sat down with aftermarket experts and the EPA itself to learn where the rising tensions are stemming from. Spoiler alert: it all ties back to diesel tuners.

Our story starts more than 20 years ago, with two landmark actions clamping down on diesels. First, in 1998, the EPA reached a settlement with seven diesel engine manufacturers for the role they played in installing tampered emissions computers onto their powertrain systems. These defeat devices allowed the owners to knowingly produce more emissions than the EPA deemed legal at the time. Companies including Caterpillar, Cummins, Detroit Diesel, Mack Trucks, Navistar, Renault and Volvo together had to spend more than $1 billion to rectify the cheating engines. This was “the largest civil penalty ever for violation of environmental law,” as the EPA proudly announced.

Not long afterwards in 2000, the Clinton administration and the EPA issued an updated set of rules related to diesel vehicle emissions. These changes came as the United States moved to adopt ultra-low-sulfur diesel fuel, which allowed OEMs to begin installing higher-efficiency catalytic converters and other emissions-control devices like urea injection systems. These tools for reducing the harmful chemical emissions from a diesel engine were previously incompatible with traditional diesel fuel. According to the EPA, this set of regulations was intended to help shift towards a uniform regulatory outlook for both diesel vehicles and their fuel source. This set of rules was rolled out gradually between the 2004 and 2010 model years.

In defiance of these new diesel regulations, a duplicitous market emerged in support of diesel vehicle owners. An entire industry was created in service of removing or modifying these new emissions systems from all sorts of modern diesel vehicles.

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There are many reasons why a diesel truck owner might want to remove these systems, though they largely fall into three major categories. Removing emissions systems from a modern diesel often increases horsepower, improves fuel economy, and cuts down on damaging carbon deposits commonly associated with DEF usage. As is clearly outlined in the Clean Air Act however, no person or company may modify the factory-installed emissions system on any vehicle born with a recognized VIN tag. There are specific exceptions in the CAA that pertain to competition vehicles such as dedicated race cars or something like a UTV. The thing about race cars and UTVs is that they are clearly exempt from road-going rules; you only see them on race tracks and off-road. By contrast, a cheating diesel is very visible. It is a big truck going down the highway or back road rolling coal. It’s hard to miss.

"As diesel truck and engine original equipment manufacturers (OEMs) introduced emissions controls to comply with new diesel standards phased in between model years 2004 and 2010, EPA became aware of a growing supply of aftermarket devices designed to remove or defeat those emission controls,” an EPA spokesperson told R&T, perhaps downplaying the viral visibility of rolling coal in the Aughts. “Many devices were, and continue to be, openly advertised as defeating emission controls and sold indiscriminately to the public at large through wholesale or internet-based retail businesses."

This is no small trend. The EPA estimates that well over 1 million defeat devices have been sold, and that more than half a million diesel trucks have removed their emissions controls. “It is difficult to precisely quantify the prevalence of aftermarket defeat devices because the only available data is what EPA gathers through individual investigations,” an EPA spokesperson told R&T. “Recent enforcement cases have addressed well over 1 million illegal aftermarket defeat devices. From 2010 through 2019, based solely on the EPA’s civil enforcement investigations involving aftermarket defeat devices for diesel pickup trucks, EPA estimates that the emissions controls have been removed from more than 550,000 diesel pickup trucks. As a result of this tampering, more than 570,000 tons of excess NOx and 5,000 tons of particulate matter will be emitted by these tampered trucks over their lifetimes.”

Taylor Smith of Sinister Diesel told R&T during a chat at the 2022 SEMA Show that the actions of the diesel community during that aforementioned time period did little to assuage the EPA’s concerns.

“I think around that same time is when social media really blew up, and we started to see videos of diesel trucks rolling coal down the interstate,” Smith told R&T. “I think the diesel community kind of did it to themselves. You can’t post a video like that and ultimately be surprised that they’re coming after us now.”

The particulate matter that makes up the black smoke you often see belching out of a modified diesel is particularly nasty stuff. The compounds in the soot have been linked to increased risk of lung cancer and respiratory disease, as have other present chemical compounds such as benzene, formaldehyde, and 1,3-butadiene. Not what you want to be breathing in.

“Due to their severe excess NOx emissions, illegally tampered trucks have an air quality impact equivalent to adding more than 9 million additional compliant, non-tampered diesel pickup trucks to our roads,” the EPA told R&T. “Again, this is solely based on what EPA has identified during its investigations regarding tampered diesel pickup trucks. It is likely that the problem is much bigger than that.”

Chris Casperson of Pypes Performance Exhaust had a robust tuning business supplying mostly a market of muscle cars, new and vintage. Across its social media pages you will find not lifted Cummins trucks but lowered Mustangs, restored Chevy Novas, and spotless Oldsmobile Cutlasses. In 2017, he received a message about his products from a source he'd never heard from before: the EPA. Pypes didn't work specifically to defeat emissions devices in the same way the diesel tuners did, but his exhausts and the handheld tuners he sold were nonetheless non-compliant. While a non-diesel tuner car might not be as visible as a Ram rolling coal in your face, the tech at hand is the same in the eyes of the EPA; both tweak the vehicle’s ECU and emissions. As Casperson discovered, any sort of tampering with a vehicle’s ECU or emissions system can land your shop in a load of trouble under these NCIs, whether or not you work on diesels alone. Pypes Performance Exhaust was fined $84,000 for their role in selling non-emission-compliant exhaust systems after an investigation was opened for the sale of H&S Performance handheld tuners. Those H&S Performance tuners can be used to adjust emissions controls on diesel engines and that was enough reason for the EPA to come knocking.

Quinton Leister - Pypes Performance Exhaust

“My feeling is that when H&S Performance finally had to come clean and deliver all of their data away, we were on that list,” Chris Casperson of Pypes Performance Exhaust told R&T. “By the time the EPA had gone through that list we had stopped selling the parts for around three years. We got the letter in 2017, and I believe we had officially stopped selling them in 2014. That being said, the EPA isn’t going to look at that list and just ask about diesel stuff. They're going to look at your whole website. We thought we were fine. We had a lot of what we would call off-road racing parts, off-road x-pipes and things that are not legal for street use. That was kind of the second phase of what they wanted us to show. They wanted to go after and start taking that stuff because they knew that the term off-road use was being abused. We had to revamp our whole line and get rid of anything that was off-road use only.”

H&S Performance was fined $1 million in 2015 for the sale of 114,436 defeat devices intended for use in diesel trucks. As part of that settlement, the entire supply of H&S Performance parts were to be removed from the marketplace. Companies like Pypes Performance Exhaust who previously sold those H&S parts quickly found themselves under the scope of the EPA as well.

Keith Tanner of Flyin Miata also believes that the handheld tuners became a target for the EPA due to the ease in which they can be used to skirt EPA regulations with or without diesel trucks being involved.

"The tuners are a very easy way to do it, because you literally just plug it into your OBD 2 port and tell it to upload a program and all of the sudden you can roll coal,” Tanner told R&T. “That’s why tuners got the initial attention, and that’s why there was a flurry of lawsuits against the diesel tuner guys like Bully Dog. They were clearly removing EGR systems, they were changing the tune to increase particulates dramatically, and they were having very visible effects. They were pissing off other road users with it. So they were the first to get hit, but in reality there is no difference between a diesel truck and sports car. From a legislative standpoint, they’d both be considered the same thing. So once the EPA had to start paying attention to what people were doing as far as impacting emissions systems, that basically brought in everybody who was messing with emissions systems. So if you were putting an ECU on a Mazda Miata so you could run a turbocharger, that’s not really fundamentally any different than removing the EGR system on a diesel pickup truck. From a legal standpoint it is the same thing."

The visibility and environmental impact of modified diesel trucks have made it significantly more difficult for the EPA to turn its head the other way as far as hopped-up gasoline vehicles are concerned. Tanner explained that the EPA simply can’t leave the aftermarket with any gray area as far as emissions are concerned, resulting in widespread enforcement across both diesel and gasoline parts of the business.

“They said if you really look at everything, the EPA has just basically turned their heads the other way for 50 years,” said Casperson. “They told me to go back to 1975 or so and read everything they’ve published, and it's quite clear that there are no exemptions stating that you’re allowed to do anything with a street car. All of those documents from 2015 or so are really just a restructuring of what they had already previously published in the 1970s.”

"Prior to the Clean Air Act Amendments of 1990, the Clean Air Act did not prohibit individuals from tampering with emissions controls on their personal vehicles, and did not contain a direct prohibition against aftermarket defeat devices,” An EPA spokesperson confirmed to R&T. “ In 1990 Congress amended the Clean Air Act to prohibit all persons from tampering with motor vehicles’ emissions controls, prohibit the manufacture, sale, or installation of defeat devices, and require onboard diagnostic systems to be phased in for light-duty vehicles by model year 1996."

The EPA website is home to a collection of case resolutions related to the CAA dating back to 2005. The first aftermarket-related emissions case was settled in 2009, when Reborn Company LLC was fined $1350 for bio-diesel swapping two gasoline-powered Land Rover Defenders. Amazingly, the agency did not take any enforcement action against gasoline engine part suppliers or race shops until 2018. This is to say, there are two eras for EPA enforcement; there’s the development of its diesel crackdown, and then comes everything else. Evans Tuning was the first to get hit with a $4223 fine for selling 103 handheld tuners and exhaust systems for gasoline vehicles. ModBargains.com and Vivid Distributing were also fined for their role in selling aftermarket exhaust systems for gasoline vehicles in 2018, facing $7,000 and $200,000 fines, respectively. Things ramped up in 2019, with 10 different aftermarket companies facing fines for their role in modifying gasoline engines. These companies included huge names like Flowmaster, Magnaflow, More Power Tuning, and VMP Tuning among others. Fines from these companies totaled $1,450,959 in 2019 alone. Nine more cases against gasoline shops have been settled in the years since, with fines totaling $3,421,975. It is important to note that these resolutions only highlight the battles that the EPA won in court, which explains the absence of shops like PFI Speed. The list also doesn't account for the number of companies that opted to cut deals with the EPA to avoid lawsuits, such as eBay Motors. The timeline, however, makes things clear. Before its crackdown on cheating diesels, gas-related tuners faced little to no scrutiny. After the rolling coal trend, however, fines started for everybody.

Pypes Performance Exhaust is a small company, with Casperson noting that a larger fine related to this case would have put them under. Based on the number of infractions committed by the shop, the EPA did have every right to demand more money. That said, Casperson went as far as to say that the EPA agents on the case seemed somewhat embarrassed about putting the small team through so much stress and financial strain.

“They were very nice, very patient with us,” Casperson told R&T. “They seemed to understand and were almost a little embarrassed that they got this little company and that they were putting us through hell.”

Like many folks inside the aftermarket, Casperson is convinced that this wave of enforcement from the EPA is only going to continue to get more strict as the era of electrification draws nearer.

“We’re still nervous,” Casperson told R&T. “We’re all wondering when they’re going to change the rules again, or not even change the rules, but rather enforce the rules that are there even heavier with even more reporting. In my opinion they don’t want to create any national uproar. I think this is just the way they are going to do it. They just keep pushing people off, and it's going to be a very slow process.”

Despite his somewhat gloomy outlook, Casperson doesn’t believe the EPA is actually out there trying to close companies down. He doesn’t believe any part of the federal government would be interested in behaving in that way. The fines are instead designed to sting, as the agency’s stated goal is to curb the rampant installation of components that impact vehicle emissions.

“Companies that make and sell aftermarket defeat devices used to remove emission controls pollute our air, harm people’s health, and undercut federal, state, and local efforts to attain air quality goals,” an EPA spokesperson told R&T. “The Act clearly prohibits making and selling defeat devices, and the EPA will continue to enforce the plain meaning of the Act.”

Whether or not the diesel community is ready to own up to its role in the increasing pressures facing the aftermarket, that’s a sentiment shared by many in the business. That’s particularly true of shops that continue to misbehave at this stage in the game, as they only deliver the EPA more leverage to continue investigating. Things are never going to go back to how they once were, and how the aftermarket will choose to respond moving forward is unclear. It’s possible that the situation will cool down after the emissions compliance NCI expires next year, but the millions of dollars worth of fines coming into the agency might suggest otherwise.

Born and raised in Metro Detroit, associate editor Lucas Bell has spent his entire life surrounded by the automotive industry.
Wed, 07 Dec 2022 01:21:00 -0600 Lucas Bell en-US text/html https://www.roadandtrack.com/news/a42156955/you-can-blame-diesel-tuners-for-waking-the-epa/
Killexams : Immersive Simulator Market | Top Factors Responsible for the Rapid Growth in the Coming Years 2028

The MarketWatch News Department was not involved in the creation of this content.

Dec 02, 2022 (The Expresswire) -- Final Report will add the analysis of the impact of Russia-Ukraine War and COVID-19 on this industry.

"Immersive Simulator Market" Insights 2022 - By Applications (Oil and Gas, Metals and Mining, Power and Energy, Medical and Biotech, Aerospace and Defense, Automotive and Marine, Chemicals, Others), By Types (Console Operator Training, Field Operator Training), By Segmentation analysis, Regions and Forecast to 2028. The Global Immersive Simulator market Report provides In-depth analysis on the market status of the Immersive Simulator Top manufacturers with best facts and figures, meaning, Definition, SWOT analysis, PESTAL analysis, expert opinions and the latest developments across the globe., the Immersive Simulator Market Report contains Full TOC, Tables and Figures, and Chart with Key Analysis, Pre and Post COVID-19 Market Outbreak Impact Analysis and Situation by Regions.

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Short Description About Immersive Simulator Market:

The Global Immersive Simulator market is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2028. In 2021, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

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China Immersive Simulator Market Revenue, 2016-2021, 2022-2027, ($ millions)

China Immersive Simulator Market Sales, 2016-2021, 2022-2027, (K Units)

China top five Immersive Simulator companies in 2020 (%)

The global Immersive Simulator market size is expected to growth from USD 3380.3 million in 2020 to USD 12420 million by 2027; it is expected to grow at a CAGR of 19.9% during 2021-2027.

The China Immersive Simulator market was valued at USD million in 2020 and is projected to reach USD million by 2027, at a CAGR of % during the forecast period.

QYResearch has surveyed the Immersive Simulator manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, accurate development and plan, industry trends, drivers, challenges, obstacles, and potential ris

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Immersive Simulator Market is further classified on the basis of region as follows:

● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam) ● South America (Brazil, Argentina, Columbia etc.) ● Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

This Immersive Simulator Market Research/Analysis Report Contains Answers to your following Questions

● What are the global trends in the Immersive Simulator market? Would the market witness an increase or decline in the demand in the coming years? ● What is the estimated demand for different types of products in Immersive Simulator? What are the upcoming industry applications and trends for Immersive Simulator market? ● What Are Projections of Global Immersive Simulator Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export? ● Where will the strategic developments take the industry in the mid to long-term? ● What are the factors contributing to the final price of Immersive Simulator? What are the raw materials used for Immersive Simulator manufacturing? ● How big is the opportunity for the Immersive Simulator market? How will the increasing adoption of Immersive Simulator for mining impact the growth rate of the overall market? ● How much is the global Immersive Simulator market worth? What was the value of the market In 2020? ● Who are the major players operating in the Immersive Simulator market? Which companies are the front runners? ● Which are the accurate industry trends that can be implemented to generate additional revenue streams? ● What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for Immersive Simulator Industry?

Customization of the Report

Our research analysts will help you to get customized details for your report, which can be modified in terms of a specific region, application or any statistical details. In addition, we are always willing to comply with the study, which triangulated with your own data to make the market research more comprehensive in your perspective.

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Detailed TOC of Global Immersive Simulator Market Insights and Forecast to 2028

1 Immersive Simulator Market Overview
1.1 Product Overview and Scope of Immersive Simulator
1.2 Immersive Simulator Segment by Type
1.2.1 Global Immersive Simulator Market Size Growth Rate Analysis by Type 2022 VS 2028
1.3 Immersive Simulator Segment by Application
1.3.1 Global Immersive Simulator Consumption Comparison by Application: 2022 VS 2028
1.4 Global Market Growth Prospects
1.4.1 Global Immersive Simulator Revenue Estimates and Forecasts (2017-2028)
1.4.2 Global Immersive Simulator Production Estimates and Forecasts (2017-2028)
1.5 Global Market Size by Region
1.5.1 Global Immersive Simulator Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028
1.5.2 North America Immersive Simulator Estimates and Forecasts (2017-2028)
1.5.3 Europe Immersive Simulator Estimates and Forecasts (2017-2028)
1.5.4 China Immersive Simulator Estimates and Forecasts (2017-2028)
1.5.5 Japan Immersive Simulator Estimates and Forecasts (2017-2028)
1.5.6 South Korea Immersive Simulator Estimates and Forecasts (2017-2028)

2 Market Competition by Manufacturers
2.1 Global Immersive Simulator Production Market Share by Manufacturers (2017-2022)
2.2 Global Immersive Simulator Revenue Market Share by Manufacturers (2017-2022)
2.3 Immersive Simulator Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Immersive Simulator Average Price by Manufacturers (2017-2022)
2.5 Manufacturers Immersive Simulator Production Sites, Area Served, Product Types
2.6 Immersive Simulator Market Competitive Situation and Trends
2.6.1 Immersive Simulator Market Concentration Rate
2.6.2 Global 5 and 10 Largest Immersive Simulator Players Market Share by Revenue
2.6.3 Mergers and Acquisitions, Expansion

3 Production by Region
3.1 Global Production of Immersive Simulator Market Share by Region (2017-2022)
3.2 Global Immersive Simulator Revenue Market Share by Region (2017-2022)
3.3 Global Immersive Simulator Production, Revenue, Price and Gross Margin (2017-2022)
3.4 North America Immersive Simulator Production
3.4.1 North America Immersive Simulator Production Growth Rate (2017-2022)
3.4.2 North America Immersive Simulator Production, Revenue, Price and Gross Margin (2017-2022)
3.5 Europe Immersive Simulator Production
3.5.1 Europe Immersive Simulator Production Growth Rate (2017-2022)
3.5.2 Europe Immersive Simulator Production, Revenue, Price and Gross Margin (2017-2022)
3.6 China Immersive Simulator Production
3.6.1 China Immersive Simulator Production Growth Rate (2017-2022)
3.6.2 China Immersive Simulator Production, Revenue, Price and Gross Margin (2017-2022)
3.7 Japan Immersive Simulator Production
3.7.1 Japan Immersive Simulator Production Growth Rate (2017-2022)
3.7.2 Japan Immersive Simulator Production, Revenue, Price and Gross Margin (2017-2022)
3.8 South Korea Immersive Simulator Production
3.8.1 South Korea Immersive Simulator Production Growth Rate (2017-2022)
3.8.2 South Korea Immersive Simulator Production, Revenue, Price and Gross Margin (2017-2022)

4 Global Immersive Simulator Consumption by Region
4.1 Global Immersive Simulator Consumption by Region
4.1.1 Global Immersive Simulator Consumption by Region
4.1.2 Global Immersive Simulator Consumption Market Share by Region
4.2 North America
4.2.1 North America Immersive Simulator Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Immersive Simulator Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Immersive Simulator Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 China Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Immersive Simulator Consumption by Country
4.5.2 Mexico
4.5.3 Brazil

5 Segment by Type
5.1 Global Immersive Simulator Production Market Share by Type (2017-2022)
5.2 Global Immersive Simulator Revenue Market Share by Type (2017-2022)
5.3 Global Immersive Simulator Price by Type (2017-2022)

6 Segment by Application
6.1 Global Immersive Simulator Production Market Share by Application (2017-2022)
6.2 Global Immersive Simulator Revenue Market Share by Application (2017-2022)
6.3 Global Immersive Simulator Price by Application (2017-2022)

7 Key Companies Profiled
7.1 Company 1
7.1.1 Company 1 Immersive Simulator Corporation Information
7.1.2 Company 1 Immersive Simulator Product Portfolio
7.1.3 Company 1 Immersive Simulator Production, Revenue, Price and Gross Margin (2017-2022)
7.1.4 Company 1 Main Business and Markets Served
7.1.5 Company 1 accurate Developments/Updates

Continued..

8 Immersive Simulator Manufacturing Cost Analysis
8.1 Immersive Simulator Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Immersive Simulator
8.4 Immersive Simulator Industrial Chain Analysis

9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Immersive Simulator Distributors List
9.3 Immersive Simulator Customers

10 Market Dynamics
10.1 Immersive Simulator Industry Trends
10.2 Immersive Simulator Market Drivers
10.3 Immersive Simulator Market Challenges
10.4 Immersive Simulator Market Restraints

11 Production and Supply Forecast
11.1 Global Forecasted Production of Immersive Simulator by Region (2023-2028)
11.2 North America Immersive Simulator Production, Revenue Forecast (2023-2028)
11.3 Europe Immersive Simulator Production, Revenue Forecast (2023-2028)
11.4 China Immersive Simulator Production, Revenue Forecast (2023-2028)
11.5 Japan Immersive Simulator Production, Revenue Forecast (2023-2028)
11.6 South Korea Immersive Simulator Production, Revenue Forecast (2023-2028)

12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Immersive Simulator
12.2 North America Forecasted Consumption of Immersive Simulator by Country
12.3 Europe Market Forecasted Consumption of Immersive Simulator by Country
12.4 Asia Pacific Market Forecasted Consumption of Immersive Simulator by Region
12.5 Latin America Forecasted Consumption of Immersive Simulator by Country

13 Forecast by Type and by Application (2023-2028)
13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)
13.1.1 Global Forecasted Production of Immersive Simulator by Type (2023-2028)
13.1.2 Global Forecasted Revenue of Immersive Simulator by Type (2023-2028)
13.1.3 Global Forecasted Price of Immersive Simulator by Type (2023-2028)
13.2 Global Forecasted Consumption of Immersive Simulator by Application (2023-2028)
13.2.1 Global Forecasted Production of Immersive Simulator by Application (2023-2028)
13.2.2 Global Forecasted Revenue of Immersive Simulator by Application (2023-2028)
13.2.3 Global Forecasted Price of Immersive Simulator by Application (2023-2028)

14 Research Finding and Conclusion

15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer

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Thu, 01 Dec 2022 21:36:00 -0600 en-US text/html https://www.marketwatch.com/press-release/immersive-simulator-market-top-factors-responsible-for-the-rapid-growth-in-the-coming-years-2028-2022-12-02
Killexams : Ford’s Onboard Scales and Smart Hitch win the 2022 Autoblog Technology of the Year award

The 2022 Autoblog Technology of the Year award goes to Ford for the Onboard Scales and Smart Hitch hauling and towing features found in the F-150 lineup. This new technology, as tested in the 2022 Ford F-150 Lightning, is a boon to pickup truck owners. Not only will it make observing your truck’s maximum loads easier and more intuitive, but it will also ensure you’re hauling and towing in the safest-possible manner.

We began the process with a long list of features to test and whittle down. Technologies like Mercedes’ new electric turbocharger, GM’s Super Cruise with added towing capability and many more went through the consideration process, but we finally whittled the field down to just three finalists. They are: the GMC Hummer EV with its flashy CrabWalk four-wheel-steer technology, the Genesis GV60 with its facial recognition/fingerprint start technology, and of course Ford’s trucking gear.

As is the norm for our Technology of the Year award, three main questions are asked, and editors assign point values based on how well the technologies perform in testing. How significant is this tech? How well does it work? And new for this year: Consider the Wow Factor.

With the scores tallied, the Ford tech earned 123 points, topping the Hummer (117 points) and GV60 (108). This is the second straight win for Ford, which won the 2021 TOY Award with its Pro Power Onboard charging feature

Ford joins Tesla (2014, 2016) as the only two-time winner of our Tech of the Year Award, which dates to 2013. Kia, Cadillac, Tesla, BMW, Chevy, Chrysler and Audi technologies are among the previous winners.

While systems that tow and haul may not seem to be the latest or most sophisticated tech, they remain essential and Ford uses things like the infotainment system, taillights and the Ford mobile app to create a forward-looking experience Henry Ford would never have dreamed of when the first Model Ts were outfitted with beds for farm and war duty in 1917. Even 10 years ago, integrating tech in this manner would have seemed futuristic, but Ford pulls it off.

“Ford’s clever towing and hauling features earned our award this year because they are easy to use, easy to understand and simply make your life as a truck owner better,” Autoblog Editor-in-Chief Greg Migliore said. “It was a competitive field this year, with Hummer’s CrabWalk and Genesis’s Biometrics features both winning strong support. But Ford came out on top with smart technologies that are well-executed and should stand the test of time.”

Towing and hauling can be tricky. If you don't tow or haul heavy loads often, there’s a lot to learn and a lot of ways you can screw it up. With the F-150’s Onboard Scales and Smart Hitch system, Ford is removing a good chunk of the guesswork from these jobs using smart technology.

Onboard Scales is the easiest one to grasp. Every truck has a maximum payload capacity rating. Your particular truck’s rating will vary based on the configuration and how it’s equipped — exact amounts will even vary based on options, as some may add considerable weight to the truck thereby lowering payload capacity. Manufacturers always like to quote the highest capacity in the lineup as the headline figures when they reveal new vehicles, so it’s up to you to figure out what your particular truck can carry. Instead of needing to do math with the GVWR (gross vehicle weight rating) and vehicle curb weight, the Onboard Scales menu in the F-150’s infotainment system tells you exactly what your maximum payload rating is. Plus, the system will account for weight that’s in the truck — such as additional passengers and gear — when it’s calculating how much it can bear.

The trickiest part in hauling things, though, may be determining the weight of the objects you’re hauling. Say you want to load up a couple thousand pounds of landscaping rocks to bring home, but you’re not sure if the lot of them weigh 2,000 or 2,500 pounds. Your truck may be rated for the former, but not the latter. Instead of guessing, simply start loading the cargo into the bed, and watch your Onboard Scales go to work. On the inside, you can see an easily readable scale that tells you how much weight is in the truck at any time. On the outside, the taillights will indicate approximate weight via bars that light up. You’ll notice the lights creep upward as you add more weight. If you go over the limit, the lights will flash as a warning — note that the Lightning doesn’t have the exterior light bars, so you’ll need to watch the dash or phone app to judge the weight with Ford’s electric pickup. And yes, if you’d rather see the weight on your phone, Ford’s app will inform you just the same as the infotainment system will.

In our testing, we used Autoblog staff members to see how the truck would react. Each extra person to hop in the bed of the truck — using the convenient bed step — would cause the scale inside to react and read a new weight rating.

Using this tool, you’ll never accidentally overburden your truck beyond its rated payload capacity again. Driving around in a truck with a weight over its maximum capacity makes it more dangerous to drive, and you could cause expensive damage to your truck while you’re at it. It makes all the sense in the world as a safety feature, and we expect other trucks to adopt it in the future.

The second part of Ford’s new towing/hauling package is Smart Hitch. This one’s all about towing and making sure you have the proper tongue weight via the connected trailer. Instead of you guessing how to distribute the weight on your trailer, the Smart Hitch does it for you. Say, you’re towing a car. Once you get the car onto the trailer, the Smart Hitch will tell you whether you need to move the car farther toward the front of the trailer or toward the rear to achieve the ideal tongue weight. Why is this good and necessary? A properly balanced setup will be far better and safer to drive. You’ll end up with less trailer sway, and the truck and trailer will be more controlled moving down the road.

We rented a trailer to test the Smart Hitch functionality, and once again commissioned Autoblog staff members to move around it to test its abilities. Every tester was able to direct the team to stand at the most optimum position within the trailer, so this tech passed testing with flying colors as well.

Similar to Onboard Scales, Smart Hitch is an excellent safety feature that will undoubtedly make life easier when towing, and we expect similar systems to be integrated into other vehicles in the future. The potential to integrate Smart Hitch into vehicles outside of pickups looks bright, too. There are so many new vehicles you can buy today with towing capability that would benefit from this tech being onboard. In fact, the benefits might be even greater on non-pickup vehicles, as there’s a decent chance you’ll find more first-time or beginner-level towers in these sorts of cars.

How does it work?

Ford was able to integrate these systems without much added complication to the truck. For the Onboard Scales feature, the truck uses already-present load-leveling sensors to measure the suspension’s deflection at each corner. Knowing both this and the truck’s spring rates, it can approximate how much weight is in the bed. You won’t get the exact weight studying on the screen down to a pound, but what’s truly important is that you understand how far or close you are to the maximum weight. The graphical representation of this is super-easy to comprehend in the infotainment system, and the light bars on the rear of the truck (each bar that lights up represents about 25 percent of the load capacity) make it even easier.

Smart Hitch uses the same sensors as Onboard Scales, but the setup is a little more involved. For starters, you’ll need to know your trailer’s weight. You also need to tell the truck whether you’re using a conventional, weight distributing, gooseneck or fifth-wheel hitch. Once all of your passengers are in the truck and gear is in the bed, you’re good to begin the setup process. Ford will guide you through a number of pages where you input the trailer weight before landing you on yet another scale. At this point, you can hitch up the trailer. 

A horizontal line will show in the graph once hitched up, indicating if there is too much or too little tongue weight. You’ll need to move the weight around on your trailer to get it in the happy zone. Going back to our car analogy, moving the car further up and further back on the trailer will accomplish this goal. Ford even uses the taillight bars to its advantage again here. If the weight is distributed properly, the two middle lights will illuminate. If there’s too much tongue weight, the top bar flashes, and if there’s too little weight, the bottom bar flashes. This way you can optimize your load without even going back inside the truck to check.

Simplicity, added safety and influence on future products makes Ford’s smart towing and hauling tech our Technology of the Year award. 

The Competition

Second Place: GMC Hummer EV’s CrabWalk

You want flashy? The Hummer will deliver you flashy. While the Ford’s tech is likely to impress fellow towing enthusiasts at boat launches, the Hummer is going to turn eyes even if you’re on Rodeo Drive. Utilizing the tech that the Hummer is nominated for — CrabWalk — will get you even more looks.

What is CrabWalk? It’s a new four-wheel-steer technology, and while four-wheel steering isn’t inherently new, the way GMC uses it in the Hummer sure is. Traditionally, four-wheel steering is used at low speeds to turn the rear wheels opposite of the fronts, thereby decreasing your turning radius. With CrabMode activated, the rear wheels turn in tandem with the fronts — up to 10 degrees — in the same direction, allowing the Hummer to move diagonally down the road. It’s unnatural at first sight, and given more time to take it in, well, it remains unnatural.

Why would you want to move diagonally? The biggest advantage will be realized off-road. Tight spaces are going to plague the Hummer EV, but this extra maneuverability could prove useful. If you’re on the road, one could use it to sneak in and out of tight spaces in a parking lot, but doing so will be a bit of a learning curve. GMC even suggests you could use the CrabWalk to slide into a parallel parking spot without needing to back in.

The added capability of this mode impressed a lot of us, and it’s hard to deny the “wow factor.” Even so, the Hummer ended up with 117 points versus the F-150 Lightning’s 123 points. That put it a short step behind Onboard Scales and Smart Hitch, but still very close.

"The Hummer EV is really difficult to nail down,” Associate Editor Byron Hurd notes. “It's a supercar disguised as a brodozer disguised as the future of performance trucks. I'm not sure it's actually any of those things individually, but it's definitely a riot. Whether it's CrabWalk or Watts to Freedom, everything about this truck is skinned in what can only be described as deliberate foolishness. I simultaneously love and hate this tech — and both for the right reason: pure giggles. Do I want one? **** no. Will I smile every time I see one go by? Absolutely."

 

Third Place: Genesis GV60 Biometrics — Face Unlock and Fingerprint Start

A new way to unlock, lock and start your car is cause for us to take attention in Technology of the Year testing. The new, electric GV60 features a facial recognition system that allows you to simply walk up to the car, stare at a camera, and unlock the doors — no keys necessary. In theory, it’s an intriguing idea. The vast majority of smartphones feature a “face unlock” feature in which we simply look at the screens, and the phone unlocks. Why not transfer that tech to a car, right?

Our winner, Ford, may scoff at the added tech complication, pointing to the numerical door buttons it’s had for years. We’re here to see if Genesis’ new way of doing things is a life improvement. The setup process is easy so long as you watch a little tutorial video first — hopefully your local Genesis dealer walks you through it upon purchase. Tap a few buttons on the screen, stand and stare at the B-pillar where the GV60’s facial recognition camera system is, and you’re good to go.

We tested it over and over with every staff member, and while the facial recognition does work, it had some hiccups. For one, the sun and the camera don’t seem to like each other. If the sun is beaming directly into the facial recognition system, it either won’t work or takes considerably longer to read your face. Some maneuvering of your body to get the right angle may be necessary, but any sort of delay in unlocking your doors is stressful and unwanted.

In optimum conditions, the facial recognition system worked like a charm. It’s slightly hokey in that to activate it you need to be touching the door handle where the keyless entry touchpad’s surface is for it to activate, but that’s the only extra step.

As for the fingerprint start, this system worked flawlessly. You input your fingerprint to the system — there’s a fingerprint reader near the gear shifter, and once you’re into the car via your face, you can touch the fingerprint reader to authenticate once more. After the system authenticates your fingerprint (which happens instantly), you can press the push button start, and drive away.

Why is this system worthwhile? Maybe you’re going somewhere that you don’t want to carry a big key fob around, like for a run, or to the beach. This allows you to truly go keyless. Considering how big and bulky key fobs are these days, removing that burden of carrying it around might be what you want.

However, our testing showed that the actual functionality of the facial recognition system isn’t quite up to a bulletproof standard. Being stranded or delayed even once due to some outside factors affecting the system’s performance would be unacceptable, and while the system largely performed as expected, it’s hard to shake those shaky moments during testing. 

There’s also the significance of the tech to take into account. Will other manufacturers adopt this tech straight away? Hard to say. News Editor Joel Stocksdale is the Genesis’ biggest advocate on staff.

“The thing about the GV60's biometrics system is that, I can genuinely see this as the future of how we access and start our vehicles,” Stocksdale writes. “We already rely on biometrics for our phones, whether that's fingerprints or facial recognition. We use it to unlock them, and even for authorizing passwords or payments. It seems only natural to apply that to our cars. Plus, it could have security advantages. People can't spoof your key fob. They would need your face or finger. And of course, having this way of accessing the car means all your settings for seating, radio and climate can be automatically loaded. Even though it may have some teething issues, I think this is going to rapidly proliferate to cars of all types.”

Not all staff members share as rosy of a view on the tech, though. The benefit of going keyless is being reduced by the day as even more manufacturers adopt “phone as key” technologies allowing you to both unlock and start your car simply via your phone. Even if you don’t want to bring a fob around, you’re almost certainly bringing your phone anywhere you go. So, while this biometric technology could prove useful in some circumstances, it’s just not groundbreaking enough to win Technology of the Year, and it came away with 108 points from the editors.

*******

And so, after testing, months of deliberations and plenty of strong arguments, Ford wins our 2022 Technology of the Year Award. We eagerly look forward to the advances 2023 will bring to the car industry and can’t wait to test them. The 2023 Tech of the Year competition starts now!

Related video:

Thu, 01 Dec 2022 00:00:00 -0600 en text/html https://www.autoblog.com/2022/12/01/2022-technology-of-the-year-winner-ford-smart-towing-hauling-tech/ Killexams : 13 of the best CBD gummies of 2023: Comparison, value, taste

Cannabidiol (CBD) gummies are a form of CBD edible. These foods contain the compound CBD, which comes from the cannabis plant. This article investigates how CBD gummies work and what consumers should look for when buying. It also provides a list of products and covers some frequently asked questions.

A quick look at the 13 best CBD gummies of 2023

Is CBD legal?The 2018 Farm Bill removed hemp from the legal definition of marijuana in the Controlled Substances Act. This made some hemp-derived CBD products with less than 0.3 percent THC federally legal. However, CBD products containing more than 0.3 percent THC still fall under the legal definition of marijuana, making them federally illegal but legal under some state laws. Be sure to check state laws, especially when traveling. Also, keep in mind that the FDA has not approved nonprescription CBD products, and some products may be inaccurately labeled.

Medical News Today has sole editorial control over this article. Potential uses for the products listed here are not health claims made by the manufacturers.

The information in this article should not replace medical advice from a healthcare professional. People should make any treatment decisions with a healthcare professional.

CBD is a compound in the cannabis plant that does not cause a person to become “high.”

Learn more about the cannabis plant here.

Consuming gummies and other edibles can be an easy, tasty, and discreet way of ingesting CBD. Some common reasons for taking CBD gummies include managing pain and seeking relief from anxiety or depression.

Gummies may contain one of three main variations of CBD. These are:

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Due to a lack of regulation, companies and consumers sometimes confuse these terms — particularly broad-spectrum CBD and CBD isolate — and use them incorrectly.

The table below breaks down common CBD terminology:

Read more about terminology and other important CBD information here.

Please note that the writer of this article has not tried these products. All information presented is purely research-based and correct at the time of publication.

Medical News Today follows a strict product selection and vetting process. Learn more here.

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Learn about the strongest CBD oils here.

These gummies are available in a tropical flavor. The company says these are vegan and gluten-free. Like other products, this contains sugar and syrup. It also contains turmeric.

They are vegan and gluten-free. One bottle contains a mix of flavors, including strawberry, orange, raspberry, and tropical fruit.

People can obtain the latest lab results from the website.

A jar of 30 gummies costs $59.99. Subscription options are available.

Learn more about cbdMD here.

Best cruelty-free CBD gummies: CBDfx Gummies

  • Price: $54.99
  • Quantity: 60 gummies per pack
  • CBD type: Broad-spectrum
  • Dosage: 50 mg
  • BBB rating: F
  • Trustpilot rating: 2.0 out of 5 stars

These CBD gummies are cruelty-free, vegan and organic. They are also free from gluten, solvents, and GMOs. They have a mixed berry flavor.

Learn about the best flavored CBD oils here.

CBDfx recommends a serving size of 2 gummies daily. Each gummy contains 25 mg of CBD. Beginners should start with one gummy and increase it to two gradually.

A jar of 60 gummies costs $54.99. Subscription options are available.

Learn more about CBDfx here.

Use code “MNT20″ for 20% off.

Best for relaxing CBD gummies: CBDistillery CBD Anytime Gummies

  • Price: $65
  • Quantity: 30
  • CBD type: Broad-spectrum
  • Dosage: 30 mg
  • BBB rating: A+
  • Trustpilot rating: no rating

Each gummy delivers 30 mg of broad-spectrum CBD, and there are 30 gummies in each bottle. Many other CBD gummy brands include 10–25 mg of CBD per gummy. This makes this product a potential option for people who want a higher CBD dosage per gummy.

CBDistillery promotes these gummies for relaxation benefits and anxiety relief.

Third-party lab reports are available online. They are U.S. Hemp Authority Certified.

Other ingredients include cane sugar, tapioca syrup, and fruit juice.

The company recommends consuming one gummy 1–2 times a day.

A jar of 30 gummies costs $65. Subscription options are available.

Learn more about CBDistillery here.

Use code “MNT20” for 20% off.

Best for multiple flavors CBD gummies: FOCL Premium CBD Gummies

  • Price: $49 (broad spectrum) /$59 (full-spectrum)
  • Quantity: 30
  • CBD type: Broad-spectrum and full-spectrum
  • Dosage: 25 mg
  • BBB rating: No rating
  • Trustpilot rating: No rating

These gummies use organic ingredients. Each piece contains 25 mg of broad-spectrum CBD.

Flavors include mandarin orange, sour watermelon, and tropical punch.

The company states this product is third-party tested, vegan, and non-GMO.

The website states these chews can help support focus, induce calm, relieve stress, and promote sleep. They are portable and easy to use discreetly.

A jar of 30 gummies costs $49/$59. Subscription options are available.

Use code MNT20 for 20% off your first order.

Best everyday CBD gummies: Charlotte’s Web Daily Wellness CBD Gummies

  • Price: $44.99-79.99
  • Quantity: 60
  • CBD type: Full-spectrum
  • Dosage: 15-25 mg
  • BBB rating: A+
  • Trustpilot rating: 2.2 out of 5 stars

Charlotte’s Web Daily Wellness CBD Gummies contain a proprietary full-spectrum hemp blend of naturally occurring phytocannabinoids, terpenes, and flavonoids. Other ingredients include organic tapioca syrup and organic cane sugar.

The company states that these gummies may help people manage everyday stress and maintain a regular sleep schedule.

These gummies come in a raspberry lime flavor. They contain 15 mg of full-spectrum CBD. The recommended dosage is two gummies daily.

The medium dosage makes these gummies a potential option for those who want to take them daily. However, the product’s syrup and sugar may be a concern for anyone with concerns about high blood sugar, insulin resistance, and diabetes.

A jar of 60 gummies costs $44.99. Subscription options are available.

Learn more about Charlotte’s Web here.

Use code “HEALTH20” for 20% off.

Best sugar-free CBD gummies: Verma Farms CBD gummies

  • Price: $44.99
  • Quantity: 20
  • CBD type: THC free
  • Dosage: 12.5 mg
  • BBB rating: No rating
  • Trustpilot rating: No rating

These organic gummies are free of THC and sugar, making them a potentially good option for anyone who with concerns about blood sugar levels, insulin resistance, or diabetes.

Ingredients include maltitol, gelatin, pectin, and aspartame.

The company states it uses CO2 extraction and high quality hemp to produce its gummies.

The gummies are free from animal testing, pesticides, and GMOs.

Individuals can access third-party lab results on the website. However, the brand does not make it as easy as others to scan its products and get batch results.

A jar of 20 gummies costs $44.99. Subscription options are available.

Best natural CBD gummies: Zatural CBD Gummy Bears

  • Price: $44.99-99.99
  • Quantity: 30
  • CBD type: Broad-spectrum
  • Dosage: 20 mg
  • BBB rating: A+
  • Trustpilot rating: 3.8 out of 5 stars

The gummies’ ingredients include corn syrup, natural berry extract, natural blue color, and broad-spectrum CBD oil.

Zatural recommends taking one to two gummies daily and states that these may aid with mood, sleep, and relaxation.

The company provides numerous third-party lab test results for viewing online. Delivery of orders takes between 2-5 days.

A jar of 30 gummies costs $44.99. Subscription options are available.

Learn more about Zatural here.

Use code “HEALTH20” for 20% off.

Best calming CBD gummies: Calm by Wellness Gummies

  • Price: $39.99
  • Quantity: 30
  • CBD type: Broad-spectrum
  • Dosage: 10 mg
  • BBB rating: No rating
  • Trustpilot rating: No rating

These Calm by Wellness Gummies contain 10 mg of CBD per serving. The company states that all batches undergo third-party testing.

Each gummy contains broad-spectrum hemp extract, organic MCT-oil, tapioca syrup, organic cane sugar, natural flavors, natural colors, and coconut oil.

The flavor is orange hibiscus strawberry guava.

Calm by Wellness suggests these gummies may relieve stress and promote sleep, which could be a potential option for people with stress or anxiety.

The company recommends that a person takes 1-3 gummies per day.

A jar of 30 gummies costs $39.99. Subscription options are available.

Use code MNT20 for 20% off.

Best low dose CBD gummies: Green Roads Relax Bears

  • Price: $37.99-49.99
  • Quantity: 30
  • CBD type: CBD isolate
  • Dosage: 10-25 mg
  • BBB rating:A+
  • Trustpilot rating: 2.8 out of 5 stars

Green Roads claims its Relax Bears gummies help people to decompress. According to the company, the bears are non-GMO and made in a cGMP-registered facility.

Each gummy provides 10-25 mg of hemp-derived cannabinoid extracts for a low to moderate dose of CBD.

This product may be suitable for people trying CBD for the first time because of its low dosage.

Learn about the best gummy bears for people with COPD here.

Flavors include:

  • lemon
  • green apple
  • cherry
  • orange
  • blue raspberry

A jar of 30 gummies with 10 mg dosage costs $37.99. A stronger dose of 25 mg per gummy is available for $49.99. Subscription options are available.

Use code MNT20 for 20% off your order.

Best organic CBD gummies: Holmes Organic Gummies

  • Price: $39.95
  • Quantity: 30
  • CBD type: Broad-spectrum
  • Dosage: 10 mg
  • BBB rating: No rating
  • Trustpilot rating: No rating

These organic gummies are vegan and free from artificial colors or preservatives. Holmes states that all its gummies are batch tested by a third party, and lab reports are available online.

The flavor of these gummies is strawberry lemonade. Ingredients include tapioca syrup, cane sugar, natural flavors, and fruits and vegetable juice.

The company recommends taking 1-2 gummies per day. Each jar contains 30 gummies with a CBD dosage of 10 mg.

Their organic nature may be ideal for people looking for gummies without chemicals or additives. However, the syrup, vegetable oil, and sugar may be unsuitable for some people at risk of insulin resistance and diabetes.

A jar of 30 gummies costs $39.95.

Best higher dosage CBD gummies: Absolute Nature CBD gummies

  • Price: $49.95-89.99
  • Quantity: 15-30
  • CBD type: Full-spectrum
  • Dosage: 30 mg
  • BBB rating: No rating
  • Trustpilot rating: No rating

These gummies contain 30 mg of CBD per serving. This makes them a viable option for people who want higher-dosage CBD gummies.

Absolute Nature states that these gummies are vegan and pesticide-free. It uses hemp that grows in Colorado and mixes it with red fruits and other vegetables, including blackcurrants, oranges, and apples, for flavor.

Other ingredients include sugar, pectin, and glucose syrup.

Independent lab testing can confirm the purity and components of each batch.

A jar of 15 gummies costs $49.95. Jars of 30 gummies are available for $89.99.

Best THC-free CBD gummies: Joy Organics CBD Gummies

  • Price: $39.95-49.95
  • Quantity: 30
  • CBD type: Broad-spectrum
  • Dosage: 10-25 mg
  • BBB rating: F
  • Trustpilot rating: 3.4 out of 5

Joy Organics states that its CBD Gummies use phytocannabinoid-rich organic hemp, which contains more CBD than standard hemp. The company grows its hemp on USDA-certified organic farms.

After the CBD oil goes through a purification process to ensure that it is free from solvents and pesticides, Joy Organics removes THC from this product. A third-party lab with ISO certification tests each batch of products.

People looking for gummies free of THC may want to consider this product.

A person can read lab results on the Joy Organics website or by using a QR code on the bottle.

Each jar of Joy Organics CBD Gummies includes 30 servings. Flavors include strawberry lemonade and green apple.

A jar of 30 gummies with a 10 mg dosage costs $39.95. A jar of 30 gummies with a 25 mg dosage costs $49.95. Subscription options are available.

Learn more about Joy Organics here.

Use code “healthcbd” for 15% off.

Sun, 13 Nov 2022 10:01:00 -0600 en text/html https://www.medicalnewstoday.com/articles/best-cbd-gummies
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