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Feb 13, 2023 (The Expresswire) -- Network Troubleshooting Software Market Size 2023-2029 | New Report (122 Pages) | In This Reports Network Troubleshooting Software Market and its business scene, significant issues, answers for relieving the upgrading risk, methodologies, future lookout, and possibilities, Other than the standard design reports, Top Network Troubleshooting Software Companies (Pingman Tools, Martello Technologies, Obkio, Tarlogic Security, Splunk, SolarWinds Network Management, Integrated Research, Spiceworks, ThousandEyes, Cisco, InfoVista, Domotz, SolarWinds MSP, Flowmon Networks, Savvius, SolarWinds, NetBrain Technologies, LiveAction, Riverbed Technologies, Sinefa, ManageEngine) with the best facts and figures, definitions, SWOT and PESTAL analysis, expert opinions and the latest trends around the world.
To know How COVID-19 and Russia-Ukraine War Influence Will Impact This Market/Industry-Request a sample copy of the report-:https://www.researchreportsworld.com/enquiry/request-covid19/20718864
Moreover, the Network Troubleshooting Software Market Report includes data on research and development, New product launches, product feedback from global and regional markets by key players. This structured analysis provides a graphical representation and strategic breakdown of the Network Troubleshooting Software market by region.
Who are the key players in the Network Troubleshooting Software market?
List of TOP KEY PLAYERS in Network Troubleshooting Software Market Report are: -
● Pingman Tools
● Martello Technologies
● Obkio
● Tarlogic Security
● Splunk
● SolarWinds Network Management
● Integrated Research
● Spiceworks
● ThousandEyes
● Cisco
● InfoVista
● Domotz
● SolarWinds MSP
● Flowmon Networks
● Savvius
● SolarWinds
● NetBrain Technologies
● LiveAction
● Riverbed Technologies
● Sinefa
● ManageEngine
Get a sample PDF of the Network Troubleshooting Software Market Report
Network Troubleshooting Software Market Analysis and Insights
This report aims to provide a comprehensive presentation of the global market for Network Troubleshooting Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Network Troubleshooting Software.
The Network Troubleshooting Software market size, estimations, and forecasts are provided in terms of and revenue (USD millions), considering 2023 as the base year, with history and forecast data for the period from 2017 to 2029. This report segments the global Network Troubleshooting Software market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
“The Research Report includes specific segments by region (country), by company, by Type and by Application. This study provides information about the sales and revenue during the historic and forecasted period of 2017 to 2029.” Ask For sample Report
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Network Troubleshooting Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
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What segments are covered Network Troubleshooting Software Market report?
Product Type Insights
Global markets are presented by Network Troubleshooting Software type, along with growth forecasts through 2029. Estimates on revenue are based on the price in the supply chain at which the Network Troubleshooting Software are procured by the companies.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2017-2023) and forecast period (2023-2029).
Segmentby Type - Network Troubleshooting Software Market
● Cloud-Based ● On-PremisesApplication Insights
This report has provided the market size (revenue data) by application, during the historical period (2018-2023) and forecast period (2023-2029).
This report also outlines the market trends of each segment and consumer behaviors impacting the Network Troubleshooting Software market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the Network Troubleshooting Software market.
Segment by Application - Network Troubleshooting Software Market
● Large Enterprises ● Medium-Sized Enterprise ● Small EnterprisesEnquire before purchasing this report -https://www.researchreportsworld.com/enquiry/pre-order-enquiry/20718864
What is the Network Troubleshooting Software market Share?
Network Troubleshooting Software Market Shareby Company Type Report is designed to incorporate both qualify qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. This report also provides a balanced and detailed analysis of the on-going Network Troubleshooting Software trends, opportunities/high growth areas, Network Troubleshooting Software market drivers which would help the investors to device and align their market strategies according to the current and future market dynamics.
The Global Network Troubleshooting Software Market Share report is provided for the international markets as well as development trends, competitive landscape analysis, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report additionally states import/export consumption, supply and demand Figures, cost, price, revenue, and gross margins.
Which region has the largest share in Global Network Troubleshooting Software Market?
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and sales data of each region and country for the period 2017-2029.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East and Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2023 because of the base year, with estimates for 2023 and forecast revenue for 2029.
This Report lets you identify the opportunities in Network Troubleshooting Software Market by means of a region:
● North America ● Europe ● Asia-Pacific ● South America ● The Middle East and AfricaCOVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Network Troubleshooting Software market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Purchase this Report:
● Strong qualitative and quantitative market analysis based on the segment breakdown within the consideration of both economic as well as non-economic factors. ● Market evaluation based on market value (Data in USD Billion) for each segment breakdown. ● Indicates of the region and segment breakdown that is expected to witness the fastest growth rate and acts as market dominant. ● Analysis of geography highlighting, the region vice consumption of the product/service and an indication of the factors that are affecting the market within each region. ● The competitive landscape encompasses the market ranking of the major market competitors, new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled. ● The company profiles section provides an understanding of the company overview, company insights, product benchmarking, and SWOT analysis for the major market players. ● Current as well as the future market outlook of the industry with respect to accurate developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions). ● In-depth analysis of the market through Porter’s Five Forces Analysis. ● Provides insight into the market through Value Chain. ● The understanding of market dynamics scenario, growth opportunities of the market for the period of forecast. ● 6-month post-sales analyst support.Key questions answered in the report:
● What is the growth potential of the Network Troubleshooting Software market? ● Which product segment will take the lion’s share? ● Which regional market will emerge as a pioneer in the years to come? ● Which application segment will experience strong growth? ● What growth opportunities might arise in the Network Troubleshooting Software industry in the years to come? ● What are the most significant challenges that the Network Troubleshooting Software market could face in the future? ● Who are the leading companies on the Network Troubleshooting Software market? ● What are the main trends that are positively impacting the growth of the market? ● What growth strategies are the players considering to stay in the Network Troubleshooting Software market?Detailed Table of Content of Global Network Troubleshooting Software Market Research Report 2023
1 Network Troubleshooting Software Market Overview
1.1 Product Overview and Scope of Network Troubleshooting Software
1.2 Network Troubleshooting Software Segment by Type
1.3 Network Troubleshooting Software Segment by Application
1.4 Global Network Troubleshooting Software Market Size Estimates and Forecasts
2 Network Troubleshooting Software Market Competition by Manufacturers
2.1 Global Network Troubleshooting Software Market Share by Manufacturers (2017-2023)
2.2 Global Network Troubleshooting Software Revenue Market Share by Manufacturers (2017-2023)
2.3 Global Network Troubleshooting Software Average Price by Manufacturers (2017-2023)
2.4 Manufacturers Network Troubleshooting Software Manufacturing Sites, Area Served, Product Type
2.5 Network Troubleshooting Software Market Competitive Situation and Trends
2.6 Manufacturers Mergers and Acquisitions, Expansion Plans
3 Network Troubleshooting Software Retrospective Market Scenario by Region
3.1 Global Network Troubleshooting Software Retrospective Market Scenario in Sales by Region: 2017-2023
3.2 Global Network Troubleshooting Software Retrospective Market Scenario in Revenue by Region: 2017-2023
3.3 North America Network Troubleshooting Software Market Facts and Figures by Country
3.4 Europe Network Troubleshooting Software Market Facts and Figures by Country
3.5 Asia Pacific Network Troubleshooting Software Market Facts and Figures by Region
4 Global Network Troubleshooting Software Historic Market Analysis by Type
4.1 Global Network Troubleshooting Software Market Share by Type (2017-2023)
4.2 Global Network Troubleshooting Software Revenue Market Share by Type (2017-2023)
4.3 Global Network Troubleshooting Software Price by Type (2017-2023)
5 Global Network Troubleshooting Software Historic Market Analysis by Application
5.1 Global Network Troubleshooting Software Market Share by Application (2017-2023)
5.2 Global Network Troubleshooting Software Revenue Market Share by Application (2017-2023)
5.3 Global Network Troubleshooting Software Price by Application (2017-2023)
6 Key Companies Profiled
Get a sample PDF of the Network Troubleshooting Software Market Report
7 Network Troubleshooting Software Manufacturing Cost Analysis
7.1 Network Troubleshooting Software Key Raw Materials Analysis
7.2 Proportion of Manufacturing Cost Structure
7.3 Manufacturing Process Analysis of Network Troubleshooting Software
7.4 Network Troubleshooting Software Industrial Chain Analysis
8 Marketing Channel, Distributors and Customers
8.1 Marketing Channel
8.2 Network Troubleshooting Software Distributors List
8.3 Network Troubleshooting Software Customers
9 Network Troubleshooting Software Market Dynamics
9.1 Network Troubleshooting Software Industry Trends
9.2 Network Troubleshooting Software Market Drivers
9.3 Network Troubleshooting Software Market Challenges
9.4 Network Troubleshooting Software Market Restraints
10 Global Market Forecast
10.1 Network Troubleshooting Software Market Estimates and Projections by Type
10.2 Network Troubleshooting Software Market Estimates and Projections by Application
10.3 Network Troubleshooting Software Market Estimates and Projections by Region
11 Research Finding and Conclusion
12 Methodology and Data Source
12.1 Methodology/Research Approach
12.2 Data Source
12.3 Author List
12.4 Disclaimer
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Q: My desktop computer has made up a name for the wireless network to which it is connected. It says it is connected to “Network 5.” The real network names are “Colton4g” and “Colton5g.” I am not sure when this happened. Recently I had the computer in the shop to connect a Bit Locker error/problem. When I got it back, it would not connect wireless to my network. I assume that was because it was looking for “Network 5,” which does not exist. I had to make a cable connection to get onto the Internet. I need to get the computer to look for the real networks.
— George C.
Shalimar, Florida
A: I’ve had this exact same thing happen to me, George. And on a fully-updated Windows 11 machine, so it’s not an issue that’s endemic to older versions of Windows. It is, however, one of those things that make me pause and ask, “What in the world were you thinking, Microsoft?” Anyone who has read this column for any amount of time might also recognize this as the type of issue that makes me say, “Thanks, Bill!” Let’s discuss.
First, let me say that, as I tried to come up with a cogent answer to this question, I kept discovering that some things that used to work on Windows 7 don’t necessarily work on Windows 10, and same between Win 10 and Win 11. That made it difficult to come up with an answer that works for everybody, so if things look different on your PC than described here, I apologize.
Now, when you hover your mouse over the network tray icon, you get a pop-up message that contains the name that Windows has given to your connection. If it’s a wireless connection, it is usually (but not necessarily) the name of the Service Set Identifier, or SSID, of the network, while on wired networks it can be as terse as “Network” or as verbose as “Wired Network Connection” or “Local Area Connection.” This underlying name is far more important on a wireless network than wired, because with a wired network the network adapter can simply connect to whatever it is plugged into, whereas a wireless adapter gets a list of available SSIDs, and needs to know which one to connect to, and, further, needs security information to allow the connection. If your computer is attempting to connect to something with a number after it, and that’s not the name of the connection, I can see where it might fail.
As far as I’ve been able to figure out, the cause of this is that Windows has a somewhat annoying tendency to append a number to the end of a connection name if it detects any changes to the network. For example, just for the sake of argument, let’s just say your connection is named “Network.” If you change the type of security encryption used on this network, and then reconnect, you’ll find that the adapter is now named “Network 2.” When this happens, the old name is left behind and, looking at a list of available adapters, it might look like you have multiples, even though in reality they are all the same physical piece of hardware. This is Windows storing various network profiles, but, annoyingly enough, not giving you any method to view — much less remove — redundant ones. Did I mention, “Thanks, Bill!”?
In your case, George, getting reconnected should be a simple matter of, well, connecting — to the correct SSID. Follow these steps: Left-click on the network tray icon. Depending on the version of Windows you’re running, you will either get a list of available networks, or Windows will treat the network, volume and battery icons as a group and bring up a composite dialog, in which case you can find network data along the top row. Click the right arrow and you'll get the above-mentioned list. Find the offending SSID, and right-click it. Make sure you click the name, and not any links or buttons that are visible. From the context menu, select “Forget.” If you are connected to it, or your computer is trying to connect to it, you’ll be disconnected. Now, find the SSID that you want in the list and highlight it. Make sure the box labeled “Connect Automatically” is checked, then click “Connect.” You should be reconnected to your home SSID this time, and every time you reboot. Good luck!
This article originally appeared on Northwest Florida Daily News: Network problems have a simple solution
Rakuten Symphony said that Symworld RAN Commander is a one-stop solution for all aspects of network planning and optimization
Rakuten Symphony recently announced the general availability of its Symworld RAN Commander solution for automated 5G mobile network planning and optimization.
The Japanese company, which is the network solutions arm of operator Rakuten Mobile, says that its RAN Commander can boost Radio Access Network (RAN) productivity planning by four times, compared to conventional planning and optimization methods.
“Network planning and optimization has always been fragmented, with different teams responsible for different parts of the process. Symworld RAN Commander offers an integrated approach to RF planning and optimization on a single platform, enabling planning and optimization teams to collaborate closely with advanced tools and technologies as they design, deploy and optimize networks in a more coordinated and efficient manner,” said Narendra Narayana, president of the intelligent operations business unit at Rakuten Symphony.
The company said that Symworld RAN Commander consolidates legacy PC-based tools, licenses and data into one managed, cloud-native platform operation. “This eliminates all problems with license management, single user tool installation and scattered confidential data,” the company said, adding that all calculations and simulations are performed in the cloud.
The Japanese company also said that Symworld RAN Commander provides “complete visibility and awareness of the live network, subscriber intelligence and traffic distribution” so that operators can target their investments and management to maximize returns during the network roll-out process.
The Symworld RAN Commander suite is comprised of tools for large-scale greenfield network design or optimization of the expansion and configuration of existing networks; and network monitoring and optimization via a geospatial interface that aggregates data “from highest to lowest granularity of geography and node.”
In November 2022, Rakuten Mobile and Rakuten Symphony announced plans to build an Open RAN Customer Experience Center at the Rakuten Symphony offices in the United Kingdom by March 2023. The center will offer telecom operators and industry suppliers in the European and Middle East region direct experience and testing of the latest technological advances in the field.
“In order to further develop and promote Open RAN technologies to support safe, open and transparent 5G networks, Rakuten Symphony plans to utilize the facility with partners to validate equipment interoperability, establish exhibition facilities to demonstrate the latest technologies and conduct workshops,” said Rakuten.
Rakuten also said the new offices will focus on three primary goals, starting with validating the interoperability of Open RAN devices. The facility will validate equipment interoperability in a multivendor environment by performing connection confirmation verification, it said. The second goal is to create an exhibition facility to demonstrate Open RAN hardware and software in action, giving visitors and opportunity to see how “next-generation mobile networks will be used to Boost operational efficiency and new services,” Rakuten said.
The third goal, said Rakuten, is to conduct Open RAN-related workshops and events to introduce “policies, trends and initiatives to European and overseas network operators and telecommunications equipment suppliers,” it said.
Rakuten has been operating a Mobile Open Innovation Lab in Tokyo, Japan since August 2022. The company describes the facility as “a technology verification environment that utilizes the technologies and experience acquired by Rakuten Mobile through its Open RAN commercial mobile network.”
The battle among consumer brands to gain market share by focusing on the experience customers have in accessing their products and services is quickly reaching into the enterprise arena, whereby hybrid workers expect the capability of their IT services to be identical wherever they are. As these expectations increase, Cisco has undertaken a tech preview of its Full-Stack Observability Platform in what amounts to a preview of how it aims to allow firms to deliver the required digital experiences by staff, customers and partners alike.
Scheduled for general availability in June 2023, Cisco Full-Stack Observability is designed to allow teams to bring together telemetry data from their own context and drive correlated insights across the entire IT estate, whether they are DevOps engineers, site reliability engineers (SREs), cloud ops, ITOps, line of business or members of the C-suite.
Moreover, the system is attributed with allowing performance impact and experience tracing to be seen through the lens of network issues and security vulnerabilities with artificial intelligence (AI)-driven root cause analysis viewed in any type of infrastructure and any multi-cloud configuration. Cisco assures that analysis will then be tied to business context so teams can identify, prioritise, resolve and even predict issues before they impact the end user and business.
Explaining the rationale for the launch of such a product at Cisco Live 2023, the company was confident, and said it will enable new and custom use cases by enriching capabilities, extending services and creating value-added offerings including tools for augmenting business processes.
It added that unlike data lakes, the new service is driven by use cases and business context that are directly calibrated to specific business outcomes rather than simply querying data itself. It offered as an example the ability to integrate business transactions and correlate with IT signals, a differentiated capability from the existing AppDynamics set, now a foundational element of the Cisco Full-Stack Observability Platform.
“Organisations demand more integration points to understand what potential problems and vulnerabilities exist and how to fix them before they impact the company and send customers looking for a better experience somewhere else,” said Liz Centoni, executive vice-president, chief strategy officer and general manager of applications.
“Cisco Full-Stack Observability delivers insights with real business context – that’s critical in a world where ‘experience’ is the new KPI [key performance indicator].”
For Mohit Lad, manager and co-founder of Cisco ThousandEyes, the observability offering can be seen in a change in the way in which traditional network monitoring has taken place and the way in which teams have operated.
“Typically, you have different teams coming together, like the network team and the app team infrastructure, and the only objective they usually have is to prove that ‘it’s not me’. You can very, very quickly figure out what is not the problem, but how to figure out what is the problem? That’s the philosophy mindset.
“A couple of things are really important in how we’ve approached this, and one is the need to be able to see past your borders and be able to understand the entire picture. And then it’s all about making sure that the product and the technology and the thinking is designed around connecting people across organisations.”
Said to be built to address “massive” scale and performance, the Full-Stack Observability Platform allows organisations to spawn an application ecosystem built on the open, extensible architecture. Full-Stack Observability brings together telemetry data – metrics, events, logs and traces (Melt) driven by the OpenTelemetry open source observability framework – which has made possible the ability to normalise ingestion of data in near-real time or real time. OpenTelemetry offers supplier-neutral application programming interfaces and other tools for collecting data from cloud-native and third-party applications, and supporting infrastructure to understand performance and threats.
As an example of the type of company that would provide a good example of how gaining enriched network visibility can result in a better internal and external customer experience, Centoni cited UK airline EasyJet.
“They have EasyJet.com, and when you go into it in terms of an application, they have operations in the back end such as how they schedule their crews and their own [internal business processes], things we don’t see, and they need to bring all of this together, and how do they do that? But [customers] just expect [the airline website] to work, and when it doesn’t, we all feel we’re not happy about it in the experience,” she said.
“They want visibility from everything ... but they also need visibility on the network side on the back end [as regards] connectivity, and on the security side for the security-monitoring piece. They might be using a cloud service from any of the big cloud providers. They might be using SaaS [software as a service] or authentication for payment. They might not build their own payment service – they might be leveraging somebody else’s. But you don’t [know what] all comes together to build that application.”
Lad notes that observability is not new, and that where Cisco has extended it out is from going from passive to active monitoring to see if something is right and discover how it impacts the application experience in the experience economy.
“Let’s take the example of a large financial organisation with about 30,000 customers,” Centoni noted. "They have got everything from retail to commercial, institutional to private banking. And what they’re up against is a set of really nimble competitors who have come in in the age of banks that don’t have bricks and mortar disrupting their business. They have digitised their front end. Financial customers [are now] adopting full stack observability because of exactly that reason, wanting to make sure that they’re disrupting their own way of business.”
Children as young as 4 years old show evidence of a network in the brain found in adults that tackles difficult cognitive problems, a new study found.
The multiple demand network helps people focus their attention, juggle several things in memory at the same time, and solve difficult problems like those involving math.
And while this network is not fully developed in kids, the study showed it operated similarly as it does in adults, said Zeynep Saygin, senior author of the study and assistant professor of psychology at The Ohio State University.
The study involved adults and 4- to 12-year-old children whose brains were scanned in an fMRI while they tried to complete a difficult task.
"We found that the multiple demand network was a distinct network even in young children, and was separate from the language network, just as it is in adults," Saygin said.
"That was something that wasn't known for sure. One alternative would have been that it takes time for these separate networks in the brain to differentiate themselves in children, but that's not what we found."
The study was led by Elana Schettini, a graduate student in psychology at Ohio State, and the results were published online recently in the Journal of Neuroscience. Ohio State graduate student Kelly Hiersche was also a co-author.
The results may help identify disruptions in the neurodevelopment of cognitive control among clinical samples, such as children struggling with ADHD, conduct disorder, or brain injuries, which could eventually inform treatment development.
"By identifying typical variability in the relationship between neural activation and performance on task, we can gain a better understanding of what is considered normal vs. abnormal" Schettini said.
The study involved 44 adults 18 to 38 years old and 37 children aged 4 to 12.
While being scanned in the fMRI, study participants were given a relatively difficult task: They were shown a series of grids containing nine to 12 squares, some of which were blue. They were then shown two grids, and they had to choose which one matched the sequence of blue squares they had seen in earlier grids. Children were given easier trials than adults.
The same participants also completed a language task where they listened to meaningful sentences and control conditions. In adults, the language brain network is spatially adjacent to, but separate from, the multiple demand network. But children's language skills are also still developing and so it was unclear whether the multiple demand network also supports this skill as it develops.
Results showed that the same area of the brain -- the multiple demand network, located in the frontal and parietal cortices -- was activated in both children and adults when they completed the challenging task, and not at all activated for the language task.
There were reasons to expect that kids wouldn't have a multiple demand network similar to adults, Saygin said.
"We know that children aren't always good at knowing what to focus on, they are distracted easily, and they don't always do well when presented with difficult problems. So it wasn't a given that they would be using the same multiple demand network that adults use," she said.
"But even in 4-year-olds this network is pretty robust and is very distinct from the language network."
There were some differences from adults. The response magnitude seen in the brain was smaller in children as they tried to solve the task, indicating it takes years for the brain to mature and "ramp up" to adult levels, she said.
But even in children, multiple demand brain activation reflected how hard they tried and how well they performed during the task, regardless of age; individual variability in performance was reflected in the brain activation at all ages.
"The findings supply us a better understanding of how high-level cognition emerges in humans and could help us design interventions for when people have issues with cognitive control," Saygin said.
The researchers received support from Ohio State's Center for Cognitive and Behavioral Brain Imaging and the Ohio Supercomputer Center. Saygin was supported by the Alfred P. Sloan Foundation and the Chronic Brain Injury Initiative at Ohio State.
The MarketWatch News Department was not involved in the creation of this content.
Feb 16, 2023 (The Expresswire) -- Network Monitoring Market | Outlook 2023-2029 | Pre and Post-COVID Research is Covered, Report Information | newest 105 Pages ReportNetwork Monitoring Market segmentation and trends, Key players and market share, Network Monitoring Market drivers and challenges, Network Monitoring Market opportunities and threats, Future outlook and projections, a research report focusing on this market would typically provide analysis and insights on various aspects of the market This evaluation offers a thorough examination of the worldwide and regional segments of the ""Network Monitoring Market. Tables contain information on deal volume, revenue, growth rates, and market share for the past and next periods. The research offers a thorough evaluation of the key participants in the international industry.
The major players covered in the Network Monitoring market report are:
● Deep Software ● Webroot Software ● Netreo ● Black Duck ● VictorOps ● EventTracker ● Soneco ● ManageEngine ● SysAid Technologies ● Splunk ● Domotz ● Datadog ● NetCrunch ● EventSentryGet a sample copy of the Network Monitoring Market Report 2023
Short summary Of Network Monitoring Market-2023 to 2029:
Network monitoring is the use of a system that constantly monitors a computer network for slow or failing components and that notifies the network administrator (via email, SMS or other alarms) in case of outages or other trouble. Network monitoring is part of network management.
Increasing network complexity, converging technologies, and growing implementation of virtualization are expected to transform network management technologies, tools, and practices.
Market Analysis and Insights: Global Network Monitoring Market
In 2021, the global Network Monitoring market size will be USD million and it is expected to reach USD million by the end of 2027, with a CAGR of during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Network Monitoring 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 Network Monitoring market in terms of revenue.
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Network Monitoring market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Network Monitoring 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 in terms of revenue and forecast for the period 2016-2027.
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Network Monitoring Market - Competitive and Segmentation Analysis:
This Network Monitoring Market report offers a detailed analysis supported by reliable statistics on sales and revenue by players for the period 2017-2023. The report also includes a company description, major business, Network Monitoring product introduction, accurate developments, and Network Monitoring sales by region, type, application, and sales channel.
Based on product type: this report displays the production, revenue, price, market share, and growth rate of each type, primarily split into:
● On-Premises ● Cloud-BasedOn the basis of the end users/applications: this report focuses on the status and outlook for major applications/end users, consumption (sales), market share, and growth rate for each application, including:
● Governments ● Corporations ● IndividualsNetwork Monitoring Market - Regional Analysis:
Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of Network Monitoring in these regions, from 2015 to 2027, covering
● 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)Inquire more and share questions if any before the purchase on this report at https://www.industryresearch.biz/enquiry/pre-order-enquiry/19627214
Some of the key questions answered in this report:
● What is the global (North America, Europe, Asia-Pacific, South America, Middle East, and Africa) sales value, production value, consumption value, import and export of Network Monitoring? ● Who are the global key manufacturers of the Network Monitoring Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)? ● What are the Network Monitoring market opportunities and threats faced by the vendors in the global Network Monitoring Industry? ● Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application? ● What focused approach and constraints are holding the Network Monitoring market? ● What are the different sales, marketing, and distribution channels in the global industry? ● What are the upstream raw materials and manufacturing equipment of Network Monitoring along with the manufacturing process of Network Monitoring? ● What are the key market trends impacting the growth of the Network Monitoring market? ● Economic impact on the Network Monitoring industry and development trend of the Network Monitoring industry. ● What are the market opportunities, market risks, and market overview of the Network Monitoring market? ● What are the key drivers, restraints, opportunities, and challenges of the Network Monitoring market, and how they are expected to impact the market? ● What is the Network Monitoring market size at the regional and country level?Network Monitoring Market - Covid-19 Impact and Recovery Analysis:
We were monitoring the direct impact of covid-19 in this market, further to the indirect impact from different industries. This document analyzes the effect of the pandemic on the zzzz market from an international and nearby angle. The document outlines the marketplace size, marketplace traits, and market increase for zzzz industry, categorized with the aid of using kind, utility, and patron sectors. Further, it provides a complete evaluation of additives concerned in marketplace improvement in advance of and after the covid-19 pandemic. The report moreover done a pastel evaluation within the business enterprise to study key influencers and boundaries to entry.
Our studies analysts will assist you to get custom-designed info to your report, which may be changed in phrases of a particular region, utility or any statistical info. In addition, we're constantly inclined to conform with the study, which is triangulated together along with your very own statistics to make the marketplace studies extra complete for your perspective.
The final Report will add an analysis of the impact of COVID-19 on this industry.
TO KNOW HOW COVID-19 PANDEMIC AND RUSSIA UKRAINE WAR WILL IMPACT THIS MARKET - REQUEST A SAMPLE
Network Monitoring Market Overview
1.1 Product Overview and Scope of Network Monitoring
2 Global Network Monitoring Market Landscape by Player
2.1 Global Network Monitoring Sales and Share by Player (2017-2022)
2.2 Global Network Monitoring Revenue and Market Share by Player (2017-2022)
2.3 Global Network Monitoring Average Price by Player (2017-2022)
2.4 Global Network Monitoring Gross Margin by Player (2017-2022)
2.5 Network Monitoring Manufacturing Base Distribution, Sales Area and Product Type by Player
2.6 Network Monitoring Market Competitive Situation and Trends
2.6.1 Network Monitoring Market Concentration Rate
2.6.2 Network Monitoring Market Share of Top 3 and Top 6 Players
2.6.3 Mergers and Acquisitions, Expansion
3 Network Monitoring Upstream and Downstream Analysis
3.1 Network Monitoring Industrial Chain Analysis
3.2 Key Raw Materials Suppliers and Price Analysis
3.3 Key Raw Materials Supply and Demand Analysis
3.4 Manufacturing Process Analysis
3.5 Market Concentration Rate of Raw Materials
3.6 Downstream Buyers
3.7 Value Chain Status Under COVID-18
4 Network Monitoring Manufacturing Cost Analysis
4.1 Manufacturing Cost Structure Analysis
4.2 Network Monitoring Key Raw Materials Cost Analysis
4.2.1 Key Raw Materials Introduction
4.2.2 Price Trend of Key Raw Materials
4.3 Labor Cost Analysis
4.3.1 Labor Cost of Network Monitoring Under COVID-19
4.4 Energy Costs Analysis
4.5 RandD Costs Analysis
Get a sample copy of the Network Monitoring Market report 2023
5 Market Dynamics
5.1 Drivers
5.2 Restraints and Challenges
5.3 Opportunities
5.3.1 Advances in Innovation and Technology for Network Monitoring
5.3.2 Increased Demand in Emerging Markets
5.4 Network Monitoring Industry Development Trends under COVID-19 Outbreak
5.4.1 Global COVID-19 Status Overview
5.4.2 Influence of COVID-19 Outbreak on Network Monitoring Industry Development
5.5 Consumer Behavior Analysis
6 Players Profiles
6.1COMPANY
6.1.1COMPANYDetails
6.1.2COMPANYMajorBusiness
6.1.3COMPANYNetwork MonitoringProductandSolutions
6.1.4COMPANYNetwork MonitoringRevenue,GrossMarginandMarketShare(2019,2020,2021,and2023)
6.1.5COMPANYRecentDevelopmentsandFuturePlans
7 Global Network Monitoring Sales and Revenue Region Wise (2017-2022)
7.1 Global Network Monitoring Sales and Market Share, Region Wise (2017-2022)
7.2 Global Network Monitoring Revenue (Revenue) and Market Share, Region Wise (2017-2022)
7.3 Global Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.4 United States Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.4.1 United States Network Monitoring Market Under COVID-19
7.5 Europe Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.5.1 Europe Network Monitoring Market Under COVID-19
7.6 China Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.6.1 China Network Monitoring Market Under COVID-19
7.7 Japan Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.7.1 Japan Network Monitoring Market Under COVID-19
7.8 India Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.8.1 India Network Monitoring Market Under COVID-19
7.9 Southeast Asia Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.9.1 Southeast Asia Network Monitoring Market Under COVID-19
7.10 Latin America Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.10.1 Latin America Network Monitoring Market Under COVID-19
7.11 Middle East and Africa Network Monitoring Sales, Revenue, Price and Gross Margin (2017-2022)
7.11.1 Middle East and Africa Network Monitoring Market Under COVID-19
8 Global Network Monitoring Sales, Revenue (Revenue), Price Trend by Type
8.1 Global Network Monitoring Sales and Market Share by Type (2017-2022)
8.2 Global Network Monitoring Revenue and Market Share by Type (2017-2022)
8.3 Global Network Monitoring Price by Type (2017-2022)
8.4 Global Network Monitoring Sales Growth Rate by Type (2017-2022)
8.4.1 Global Network Monitoring Sales Growth Rate of Standby (off-line) UPS (2017-2022)
8.4.2 Global Network Monitoring Sales Growth Rate of Line interactive UPS (2017-2022)
8.4.3 Global Network Monitoring Sales Growth Rate of Online UPS (2017-2022)
9 Global Network Monitoring Market Analysis by Application
9.1 Global Network Monitoring Consumption and Market Share by Application (2017-2022)
9.2 Global Network Monitoring Consumption Growth Rate by Application (2017-2022)
9.2.1 Global Network Monitoring Consumption Growth Rate of Private Data Center (2017-2022)
9.2.2 Global Network Monitoring Consumption Growth Rate of Commercial Data Center (2017-2022)
9.2.3 Global Network Monitoring Consumption Growth Rate of Government/Military Data Center (2017-2022)
9.2.4 Global Network Monitoring Consumption Growth Rate of Others (2017-2022)
10 Global Network Monitoring Market Forecast (2022-2029)
10.1 Global Network Monitoring Sales, Revenue Forecast (2022-2029)
10.1.1 Global Network Monitoring Sales and Growth Rate Forecast (2022-2029)
10.1.2 Global Network Monitoring Revenue and Growth Rate Forecast (2022-2029)
10.1.3 Global Network Monitoring Price and Trend Forecast (2022-2029)
10.2 Global Network Monitoring Sales and Revenue Forecast, Region Wise (2022-2029)
10.2.1 United States Network Monitoring Sales and Revenue Forecast (2022-2029)
10.2.2 Europe Network Monitoring Sales and Revenue Forecast (2022-2029)
10.2.3 China Network Monitoring Sales and Revenue Forecast (2022-2029)
10.2.4 Japan Network Monitoring Sales and Revenue Forecast (2022-2029)
10.2.5 India Network Monitoring Sales and Revenue Forecast (2022-2029)
10.2.6 Southeast Asia Network Monitoring Sales and Revenue Forecast (2022-2029)
10.2.7 Latin America Network Monitoring Sales and Revenue Forecast (2022-2029)
10.2.8 Middle East and Africa Network Monitoring Sales and Revenue Forecast (2022-2029)
10.3 Global Network Monitoring Sales, Revenue and Price Forecast by Type (2022-2029)
10.4 Global Network Monitoring Consumption Forecast by Application (2022-2029)
10.5 Network Monitoring Market Forecast Under COVID-19
11 Research Findings and Conclusion
12 Appendix
12.1 Methodology
12.2 Research Data Source
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With signs that betting addictions are on the rise in New Jersey, the state will provide $600,000 to five agencies it has tasked with treating gambling disorders and the problems that come with them.
CarePlus New Jersey in Paramus, Parsippany’s NewBridge Services, Williamstown’s Maryville Addiction Treatment Center, the Brooklyn-based SAFE Foundation and Trinitas Regional Medical Center in Elizabeth were each awarded $120,000 to establish treatment services, including at least one gambling disorder clinician at each site, according to the state Human Services Department.
“Gambling disorders, substance use disorders and mental illness can often be coexisting and compounding challenges, and that is why it is important to treat these conditions simultaneously," Human Services Commissioner Sarah Adelman said in a Feb. 9 statement. "In order to do this, we must increase the availability of mental health and substance use disorder providers who have expertise in identifying and treating gambling disorders. These contracts work to do just that."
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New Jerseyans have wagered almost $34 billion since 2018, when the state won a U.S. Supreme Court ruling that struck down a nationwide prohibition on sports betting.
That has generated huge revenues for casinos and online betting platforms. But it's also been accompanied by a surge in reports of gambling problems, especially among younger adults. Calls to the state's help line, 1-800-GAMBLER, have more than doubled, from 606 in the 2019 fiscal year to 1,439 in fiscal 2021, according to the Council on Compulsive Gambling of New Jersey.
Attorney General Matthew Platkin announced another initiative aimed at the problem last week, a program that requires companies to track individual customers' online betting for signs of addictive behavior.
Starting this month, the mental-health grants will pay for counselors who can help with gambling disorders as well as related problems such as job loss, financial distress, estranged relationships and legal issues.
“Research shows that gambling disorder is a condition that can have a negative impact on the affected individual as well as their loved ones," said Valerie Mielke, who directs New Jersey's Division of Mental Health and Addiction Services. "That is why it is important to develop the capacity to administer treatments that effectively address this disorder."
More: Ahead of Super Bowl, NJ launches program to track gamblers for signs of problem betting
Adults with gambling disorders are three times more likely to be depressed, eight times more likely to have bipolar disorder, and three times more likely to experience an anxiety disorder, the state said.
“I continue to urge anyone needing substance use help to call 1-844-ReachNJ," Adelman said. "I also urge those seeking help with problem gambling, or those concerned with a loved one’s problem gambling, to call 1-800-Gambler. Treatment works and recovery is attainable. Please don’t hesitate to call.”
Staff Writer Daniel Munoz contributed to this story.
Gene Myers covers disability and mental health for NorthJersey.com and the USA TODAY Network. For unlimited access to the most important news from your local community, please subscribe or activate your digital account today.
Email: myers@northjersey.com
Twitter: @myersgene
This article originally appeared on NorthJersey.com: NJ awards $600,000 to five agencies to expand gambling addiction services
Taught by distinguished IIT-Madras faculty, this programme, offered in collaboration with Emeritus, aims to enhance the tech skills of early and mid-level professionals Mumbai, Maharashtra, India – Business Wire India IITM Pravartak and the Centre of Outreach and Digital Education, IIT-Madras, has announced the launch of the first batch of the Certificate Programme in Deep Learning and AI on March 30, 2023. Positioned as a high intensity course, this 10-month executive certificate programme, including a 4 days campus immersion at IIT Madras, is designed for ambitious AI professionals and will help them develop cutting-edge deep-tech skills and understand the applications of neural network and deep learning algorithms.
Deep Learning, a vital component of Machine Learning, is revolutionising the business landscape. Complex applications include solutions for challenges in areas like speech recognition, image processing, text processing, fraud detection, malignancy gauging, and many more. Every facet of business from finance and operations to IT and general management is joining the drive to create increased insight and efficiency in decision-making. It's been said that India's Machine Learning growth wave is poised to hit $543 Bn by 2023, and that almost 87% of Indian companies are going to step up their investment in AI by 10% over the next three years. Innovative companies are actively seeking out both AI and Deep Learning solutions and top minds to put those solutions to work across a range of global industries. AI and Machine Learning jobs have jumped by almost 75% in the last four years alone. Going by company investments in AI, that number is projected to only move upward.
In this scenario, success hinges on the availability of highly skilled professionals who can understand technical problems in the context of 21st century global business, propose the right kind of architecture for the scenario, and implement the technology to solve the problem in a manner that is as accurate as it is agile. This IITM Pravartak'sprogramme equips professionals for exactly this kind of competitive, high-intensity scenario. It is a rigorous programme that will empower you to create relevant, efficient solutions to pressing real-world problems. It is ideal for ambitious, growth-centric learners who are aspiring to gain technical prowess in building Deep Learning models for today's challenges. It is also designed to be relevant to professionals from different disciplines and at different career stages, such as early professionals looking to generate insights efficiently and accurately or even mid-career professionals eager on applying deep tech solutions to strategic business issues. For such an audience, the programme covers every vital aspect of AI and Deep Learning that includes understanding different kinds of neural network architectures, how to implement various deep learning algorithms, evaluate deep learning models, and understand their applications. It also exposes learners to innovations and latest thinking.
By the end of the programme, participants will have deep technology capabilities and sound understanding of the neural network techniques for text processing, image processing, and video processing problems.
The programme is driven by renowned IIT Madras faculty and programme delivery is 100% live format across 150 hours. The learning experience is immersive and stimulating with a rich blend of concepts, exercises, tools, and discussion. It involves a high degree of hands-on assignments where participants can apply their learning in real situations. The experience also includes a 4-day campus immersion with exclusive access to labs in IIT-Madras' Computer Science and Engineering (CSE) department. The adventurous ones will be excited to know there is also the opportunity to participate in a face-to-face hackathon at IIT Madras campus. On successful completion of the course, participants will be awarded a Certificate in Deep Learning and AI from IITM Pravartak and the Centre of Outreach and Digital Education, IIT-Madras. They can also avail of career services from Emeritus that will empower them with the skills and tips to ace interviews and land the top jobs.
Commenting on the launch of the programme, Programme Director, Prof. C. Chandra Sekhar, Department of Computer Science & Engineering, IIT Madras, said, "IITM Pravartak'sprogramme in Deep Learning & Artificial Intelligence covers text, image, video, and speech processing. Students will learn how to use Deep Learning models for tasks related to function approximation, classification of images, videos and text, visual captioning, sequence-to-sequence mapping in video and text domains." The first batch commences in April 2023 and since admissions are on a first come, first-serve basis, it's a good idea to apply by (insert date) to reserve your seat. This certificate programme in AI and Deep Learning is delivered by Emeritus through a digital-first, seamless learning, and high-engagement experience. Visit the programme page for more details and apply soon to unlock today's cutting-edge AI skills and succeed in exciting, high-growth jobs with the market's most innovative and leading brands.
Further, Dr. M.J. Shankar Raman, CEO, IITM Pravartak Technologies Foundation, said, "New products powered by AI are taking internet by storm every day. Disruptions are happening in the AI / ML / Deep Learning space every day. These reconfirms that students and industry professionals must be skilled with best faculties, platforms and tools. IITM Pravartak is happy to announce this certification course along with Emeritus for professionals and students to attain mastery in these areas." About IITM Pravartak Technologies Foundation IITM Pravartak is funded by the Department of Science and Technology, Government of India, under its National Mission on Interdisciplinary Cyber-Physical Systems, and hosted as a Technology Innovation Hub (TIH) by IIT Madras. The NM-ICPS is a comprehensive Mission aimed at complete convergence with all stakeholders by establishing strong linkages between academia, industry, Government, and International Organizations.
IITM Pravartak Technology Innovation Hub focuses on new knowledge in Sensors, Networks, Actuators and Control Systems (SNACS) through extensive and application-oriented research. IITM Pravartak gladly takes the role of preparing young India for the next generation of world-class technologies.
About Emeritus Emeritus offers customised and open programmes in India, Singapore, Dubai and other global locations in collaboration with MIT Sloan, Columbia Business School, IIM Lucknow Executive Education, IIM Calcutta Executive Education, ISB Executive Education, Harvard Business School, Kellogg Executive Education, Berkeley Executive Education, and Wharton Executive Education, amongst other leading Institutes. Our world-class executive education programmes, supported by eminent programme experts, provide an immersive learning experience integrated with actionable insights and practical business applications. The meticulously curated programmes are delivered in a different range of formats; in-class, online, as well as blended programmes. Our extensive portfolio also includes short 2-4 day in-class workshops, online courses of 2-3 months duration as well as comprehensive learning journeys that run over 6-9 months, customised to an organisation's requirement. The Emeritus Group has more than 1,400 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the company is valued at $3.2 billion and is backed by the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, Bertelsmann, Accel and SoftBank Vision Fund 2.
(This story has not been edited by Devdiscourse staff and is auto-generated from a syndicated feed.)
Mumbai, Maharashtra, India – Business Wire India
IITM Pravartak and the Centre of Outreach and Digital Education, IIT-Madras, has announced the launch of the first batch of the Certificate Programme in Deep Learning and AI on March 30, 2023. Positioned as a high intensity course, this 10-month executive certificate programme, including a 4 days campus immersion at IIT Madras, is designed for ambitious AI professionals and will help them develop cutting-edge deep-tech skills and understand the applications of neural network and deep learning algorithms.
Deep Learning, a vital component of Machine Learning, is revolutionising the business landscape. Complex applications include solutions for challenges in areas like speech recognition, image processing, text processing, fraud detection, malignancy gauging, and many more. Every facet of business from finance and operations to IT and general management is joining the drive to create increased insight and efficiency in decision-making. It’s been said that India’s Machine Learning growth wave is poised to hit $543 Bn by 2023, and that almost 87% of Indian companies are going to step up their investment in AI by 10% over the next three years. Innovative companies are actively seeking out both AI and Deep Learning solutions and top minds to put those solutions to work across a range of global industries. AI and Machine Learning jobs have jumped by almost 75% in the last four years alone. Going by company investments in AI, that number is projected to only move upward.
In this scenario, success hinges on the availability of highly skilled professionals who can understand technical problems in the context of 21st century global business, propose the right kind of architecture for the scenario, and implement the technology to solve the problem in a manner that is as accurate as it is agile. This IITM Pravartak’s programme equips professionals for exactly this kind of competitive, high-intensity scenario. It is a rigorous programme that will empower you to create relevant, efficient solutions to pressing real-world problems. It is ideal for ambitious, growth-centric learners who are aspiring to gain technical prowess in building Deep Learning models for today’s challenges. It is also designed to be relevant to professionals from different disciplines and at different career stages, such as early professionals looking to generate insights efficiently and accurately or even mid-career professionals eager on applying deep tech solutions to strategic business issues. For such an audience, the programme covers every vital aspect of AI and Deep Learning that includes understanding different kinds of neural network architectures, how to implement various deep learning algorithms, evaluate deep learning models, and understand their applications. It also exposes learners to innovations and latest thinking.
By the end of the programme, participants will have deep technology capabilities and sound understanding of the neural network techniques for text processing, image processing, and video processing problems.
The programme is driven by renowned IIT Madras faculty and programme delivery is 100% live format across 150 hours. The learning experience is immersive and stimulating with a rich blend of concepts, exercises, tools, and discussion. It involves a high degree of hands-on assignments where participants can apply their learning in real situations. The experience also includes a 4-day campus immersion with exclusive access to labs in IIT-Madras’ Computer Science and Engineering (CSE) department. The adventurous ones will be excited to know there is also the opportunity to participate in a face-to-face hackathon at IIT Madras campus. On successful completion of the course, participants will be awarded a Certificate in Deep Learning and AI from IITM Pravartak and the Centre of Outreach and Digital Education, IIT-Madras. They can also avail of career services from Emeritus that will empower them with the skills and tips to ace interviews and land the top jobs.
Commenting on the launch of the programme, Programme Director, Prof. C. Chandra Sekhar, Department of Computer Science & Engineering, IIT Madras, said, “IITM Pravartak’s programme in Deep Learning & Artificial Intelligence covers text, image, video, and speech processing. Students will learn how to use Deep Learning models for tasks related to function approximation, classification of images, videos and text, visual captioning, sequence-to-sequence mapping in video and text domains.”
The first batch commences in April 2023 and since admissions are on a first come, first-serve basis, it’s a good idea to apply by (insert date) to reserve your seat. This certificate programme in AI and Deep Learning is delivered by Emeritus through a digital-first, seamless learning, and high-engagement experience. Visit the programme page for more details and apply soon to unlock today’s cutting-edge AI skills and succeed in exciting, high-growth jobs with the market’s most innovative and leading brands.
Further, Dr. M.J. Shankar Raman, CEO, IITM Pravartak Technologies Foundation, said, “New products powered by AI are taking internet by storm every day. Disruptions are happening in the AI / ML / Deep Learning space every day. These reconfirms that students and industry professionals must be skilled with best faculties, platforms and tools. IITM Pravartak is happy to announce this certification course along with Emeritus for professionals and students to attain mastery in these areas.”
About IITM Pravartak Technologies Foundation
IITM Pravartak is funded by the Department of Science and Technology, Government of India, under its National Mission on Interdisciplinary Cyber-Physical Systems, and hosted as a Technology Innovation Hub (TIH) by IIT Madras. The NM-ICPS is a comprehensive Mission aimed at complete convergence with all stakeholders by establishing strong linkages between academia, industry, Government, and International Organizations.
IITM Pravartak Technology Innovation Hub focuses on new knowledge in Sensors, Networks, Actuators and Control Systems (SNACS) through extensive and application-oriented research. IITM Pravartak gladly takes the role of preparing young India for the next generation of world-class technologies.
About Emeritus
Emeritus offers customised and open programmes in India, Singapore, Dubai and other global locations in collaboration with MIT Sloan, Columbia Business School, IIM Lucknow Executive Education, IIM Calcutta Executive Education, ISB Executive Education, Harvard Business School, Kellogg Executive Education, Berkeley Executive Education, and Wharton Executive Education, amongst other leading Institutes. Our world-class executive education programmes, supported by eminent programme experts, provide an immersive learning experience integrated with actionable insights and practical business applications. The meticulously curated programmes are delivered in a different range of formats; in-class, online, as well as blended programmes. Our extensive portfolio also includes short 2-4 day in-class workshops, online courses of 2-3 months duration as well as comprehensive learning journeys that run over 6-9 months, customised to an organisation’s requirement. The Emeritus Group has more than 1,400 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the company is valued at $3.2 billion and is backed by the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, Bertelsmann, Accel and SoftBank Vision Fund 2.
Disclaimer: This article is a paid publication and does not have journalistic/editorial involvement of Hindustan Times. Hindustan Times does not endorse/subscribe to the content(s) of the article/advertisement and/or view(s) expressed herein. Hindustan Times shall not in any manner, be responsible and/or liable in any manner whatsoever for all that is stated in the article and/or also with regard to the view(s), opinion(s), announcement(s), declaration(s), affirmation(s) etc., stated/featured in the same.