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Killexams : SalesForce Certification learning - BingNews https://killexams.com/pass4sure/exam-detail/CRT-271 Search results Killexams : SalesForce Certification learning - BingNews https://killexams.com/pass4sure/exam-detail/CRT-271 https://killexams.com/exam_list/SalesForce Killexams : Edtech Saasguru wants to fix the cloud talent shortage at scale

Cloud tech companies are facing a significant cloud skills shortage, making it hard to hire people and difficult to make sure their current workforce’s skills are up to date. Australia- and US-based Saasguru wants to narrow the gap with an edtech platform designed for new graduates and tech workers who want to become better at using cloud platforms like Salesforce or AWS. The company announced today it has raised a seed round of $4 million AUD (or about $2.7 million USD) led by Square Peg Capital, along with returning investors Black Nova and Antler.

Saasguru’s last funding was nine months ago, when it raised a pre-seed round of $1.3 million AUD. The company was founded in 2021 by Amit Choudhary, Atif Saad and Prateek Kataria. Choudhary and Saad sold their last startup SaaSfocus, a Salesforce consulting company, to Cognizant in in 2018.

So far, Salesguru has been used by 40,000 students in 20 countries, and has worked with 20 cloud consulting companies that want to train new workers, as well as refresh the skills of their existing teams. Its students range from new graduates who are starting their first jobs in cloud tech to professionals who want to earn more training certificates.

The search for people with cloud computing skills in the Asia Pacific region is urgent, with a report by AWS showing that workers needed will triple by 2025, going from 37 million workers in 2020 to 109 million. Saasguru wants to help its learners become ready for cloud tech jobs, while creating more talent at scale.

Saasguru founders Atif Saad, Amit Choudhary and Prateek Kataria © Provided by TechCrunch Saasguru founders Atif Saad, Amit Choudhary and Prateek Kataria

Saasguru founders Atif Saad, Amit Choudhary and Prateek Kataria

Choudhary told TechCrunch that the idea for Saasguru was planted while he and Saad were still working on SaaSfocus and struggled to compete for talent with large cloud consulting companies.

“This forced us to look at organic talent creation by hiring people from diverse non-technology backgrounds and upskilling them through a homegrown program tailor-made for Salesforce job readiness,” he said. “This became a bit of a ‘secret sauce’ for us and it helped us scale the business to over 360 consultants, with over 80% of them being trained through this program.”

SaaSfocus’ training program included hyper-personalized study plans, “TikTok-like” micro-modules of content, mentoring, peer-to-peer learning and hands-on assignments.

After selling SaaSfocus, Choudhary and Saad used this approach in a pro-bono program to help people get new jobs during COVID by teaching them Salesforce skills. Of the 50 people who took part in the program, almost all got placed in Salesforce-related jobs.

“It was the lightbulb moment when we realized this could be scaled with tech into a global business,” Choudhary said. Saasguru was launched in early 2021, combining the components of the pro-bono program with a deep tech platform.

Saasguru’s 15 programs includes ones for learning Salesforce, ServiceNow, AWS, GCP and Azure. It plans to use its funding to add more cloud certifications. Choudhary said Saasguru personalizes courses, which can take from 30 hours for self-paced cloud certification program to 300 hours for a career bootcamp, by using a two-step process. The first step is an initial assessment that analyzes the readiness of a learner and creates a learning pathway for them. Then as they start taking a course, the platform recommends the next best step to take.

Saasguru acquires customers by running free webinars with its teachers, or gurus. They also offer free one-on-one mentoring sessions on careers, interview tips and certifications, and run a Slack community. Saasguru serves both individuals and cloud consulting companies that want to build the skills of new and existing employees.

In a statement about the funding, Square Peg Capital principal Lucy Tan said, “There is a massive cloud skills shortage in the industry that is slowing down digital transformation initiatives undertaken by businesses. Universities are not well equipped to solve this skills shortage as the skills update so quickly. This means post-university upskilling is critical for continued business growth and Saasguru provides a personalised learning pathway for cloud professionals to embark on, helping them get skilled and certified in cloud technologies. This can make a meaningful impact on people’s lives from either landing them in a new career or getting salary increases.”

Edtech Saasguru wants to fix the cloud talent shortage at scale by Catherine Shu originally published on TechCrunch

Tue, 29 Nov 2022 04:00:23 -0600 en-US text/html https://www.msn.com/en-us/money/careersandeducation/edtech-saasguru-wants-to-fix-the-cloud-talent-shortage-at-scale/ar-AA14HxsZ
Killexams : Salesforce to develop Sustainability Cloud into full ESG reporting tool
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Killexams : Mobisoft Infotech Joins The Salesforce Consulting Partner Program To Rev Up Digital Transformation
(MENAFN- ForPressRelease)

Mobisoft Infotech to bring together the power of connected data and automation capabilities with Salesforce to deliver personalized customer experiences across digital channels. Mobisoft Infotech will expand its service offerings with specialized editions of Salesforce to create a culture that embraces change and keeps digital transformation gear on.

Texas, USA, Dec 7, 2022: Mobisoft Infotech, a trusted product development company and digital transformation partner for businesses around the globe, today announced becoming a Salesforce Consulting Partner to supercharge their digital transformation initiatives. Through
a technical collaboration with Salesforce, Mobisoft Infotech, aims to help companies with powerful automation and intelligence technologies to deliver optimized customer experiences.

Mobisoft Infotech joined the Salesforce ecosystem as a Consulting Partner after surpassing Salesforce's aggregate score value. This value measures a partner's contributions across key areas like growth, certification, and specialization against Salesforce's set targets. Mobisoft Infotech plans to offer Salesforce consulting services and Salesforce product deployments through this exclusive partnership to accelerate digital transformation initiatives at scale.

'With evolving market trends and consumer shifts, it is important that companies maximize the use of data, technology, and tools in order to deliver meaningful experiences. Salesforce is the most suitable platform for businesses to optimize each interaction and build customer relations at scale. With the combined power of the Salesforce platform and Mobisoft's expertise, every company can deliver tailored experiences while digitally transforming business workflows.' said Pritam Barhate, co-founder of Mobisoft Infotech.

'Data and digital platforms are the cornerstones of digital transformation. At Mobisoft, we have always focused on steadily building capabilities by unlocking opportunities and leveraging innovative tools. Becoming an official Salesforce Consulting Partner is very exciting for us. This partnership will help us empower businesses with emerging technology and tools to work more effectively.' further added Pritam.

Having partnered with Salesforce, Mobisoft is positioned to be a key player in driving digital transformation, enabling businesses to take full advantage of connected data across the business landscape, gain deeper insights to Excellerate performance, drive business agility, and create connected customer experiences.

Mobisoft Infotech's digital transformation expertise, extensive experience, and industry knowledge, coupled with Salesforce's capabilities, will deliver businesses the expert guidance, support, and tools to capture the real value of the CRM platform.

Read the full article on Mobisoft Infotech Joins the Salesforce Consulting Partner Program to Rev Up Digital Transformation Mobisoft Infotech:
Mobisoft Infotech is a leading digital product development company based in the USA and partners with businesses of all sizes to build, Excellerate and scale products across platforms leveraging disruptive technologies and combining design, engineering, and innovation to unlock success. Mobisoft Infotech has successfully served in 37+ countries, including the United States, the UK, and Australia, and helped prominent industry players create the most value from digital transformation by seamlessly combining more than 13 years of experience, deep domain expertise, digital capabilities, processes, and a highly skilled team of experts. To learn more about Mobisoft Infotech's digital transformation achievement,
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Killexams : ITE students to embark on digital skills training programme in $8.7m tie-up with software firm

SINGAPORE - Institute of Technical Education (ITE) students will be able to learn key customer relationship management (CRM) digital skills in a revised curriculum introduced as part of an $8.7 million tie-up with a United States-based software firm.

The partnership with the firm, called Salesforce, will span five years and benefit about 7,500 ITE students.

Students will pick up key CRM skills such as understanding customers and helping businesses Excellerate customer relationships with the use of data.

The beefed up curriculum, which will start in April 2023, will feature content provided by the Salesforce learning arm, Trailhead Academy. It will be taught by ITE lecturers, who will be trained by Salesforce.

On Monday, at the ceremony to mark the tie-up, ITE College West principal Alice Seow said: “This collaboration will allow ITE to infuse CRM content and technology into our new three-year Higher Nitec curriculum.”

She added that the curriculum will include CRM features such as UX or user experience design and system security. 

On top of the enhanced curriculum, students will be selected every year to be mentored by Salesforce employees. 

Ms Seow said: “This mentorship programme targets to develop essential soft skills as well as deepen CRM knowledge among student participants, and will benefit some 60 students annually across the three ITE campuses.” 

During the mentorship programme, students will take exams to earn certifications such as Salesforce administrator or developer. They will also apply their skills in tackling case studies and take part in case competitions simulating real-world environments.

The programme, which will start in October 2023, aims to open up job opportunities for students and, in time, land them a full-time role with Salesforce or the clients it serves.

Senior Minister of State for Communications and Information Tan Kiat How, who was at the event, said demand for tech skills and the know-how to use digital tools and systems is here to stay.

He added that employers should look beyond academic qualifications when hiring and developing their tech manpower, and focus on the person’s skills and desire to continually pick up new skills and new technologies.

Ms Seow said this tie-up will help ITE tap the Salesforce network of industry partners to provide students with internship and employment opportunities in the CRM industry.

She said: “Our mission at ITE is to create opportunities for our students to acquire the skills, knowledge and values they need to contribute and make a meaningful impact as part of tomorrow’s workforce. 

“The extension of our partnership with Salesforce reaffirms this mission, and allows our students to hone their CRM expertise at a pivotal moment where digital transformation and customer experience are so deeply interconnected.”

Mon, 05 Dec 2022 00:36:00 -0600 en text/html https://www.straitstimes.com/singapore/ite-students-to-embark-on-digital-skills-training-programme-in-87m-tie-up-with-software-firm
Killexams : CMMC & Salesforce Offerings - Safeguarding CUI with FedRAMP Authorized Cloud Services

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Killexams : VCs deliver their unfiltered thoughts on 28 AI and big-data startups that had investors buzzing this year

Midjourney

Midjourney's website.
Midjourney

Year founded: 2022

Total funding: Unknown

Valuation: Unknown

Key investors: Unknown

What it does: Midjourney creates a text-to-image AI generator along the lines of Stable Diffusion and OpenAI's DALL-E 2. Midjourney images are generated and displayed in a Discord channel.

What investors are saying: Midjourney could be a key competitor to Stability AI and its Stable Diffusion model. For the moment, investors say its focus on the artistic community has helped it build an enormous audience. But insiders are also somewhat perplexed by the company itself and how quiet its team has been and say it's expected to behave very differently from Stability AI.

Sources say that while Stability AI has been working on building the model, Midjourney is the one that may find success building an application layer on top of a text-to-image model. In that way, it's similar to Jasper because it's a business built on top of generative AI tools, rather than just producing the model, like OpenAI does.

MotherDuck

MotherDuck CEO Jordan Tigani.
MotherDuck

Year founded: 2022

Total funding: $47.5 million

Valuation: $175 million

Key investors: Andreessen Horowitz, Redpoint, Altimeter, Amplify

What it does: MotherDuck is the commercial entity behind DuckDB, an emerging database tool that works on local devices.

What investors are saying: DuckDB is considered by investors a novel and highly promising technology as an alternative to big, expensive high-powered products like Snowflake and BigQuery. However, the technology is applied in only a handful of cases and largely experimental.

But investors point to its highly flexible nature, where it treats databases like libraries, and the opportunities it brings to moving analytics onto local devices. That could manifest in the form of real-time analytics tools that are updated and rendered much more quickly than a product like Tableau.

Elementl

Elementl's chief technology officer, Nick Schrock.
Elementl

Year founded: 2018

Total funding: $15.8 million

Valuation: $60 million, according to PitchBook

Key investors: Sequoia Capital, Index, Amplify, Slow Ventures, Coatue

What it does: Elementl is the commercial entity behind Dagster, an orchestration tool companies use to ensure data operations happen in the correct order without failure.

What investors are saying: Many investors are highly skeptical of Elementl given the nearly omnipotent presence of Airflow. It's unclear whether it will be able to take on Airflow, and an alternative product exists in the form of Prefect.

Investors say Dagster takes a very modern approach to orchestration and, like Prefect, has an opportunity to unseat Airflow. How quickly it gains adoption is an open question, making Elementl a risky proposition.

A wrinkle recently emerged with the transition of its highly respected founder and CEO, Nick Schrock, to chief technology officer. This followed some concerns about the product's growth.

Convex

Convex's website.
Convex

Year founded: 2020 

Total funding: $29.6 million

Valuation: $125 million, according to PitchBook

Key investors: Andreessen Horowitz, Elad Gil, SV Angel, General Catalyst

What it does: Convex creates tools that enable JavaScript developers to have consistent data across all services without using a database.

What investors are saying: For investors who believe in the impending collision of database design paradigms — online analytical processing (OLAP) and online transaction processing (OLTP) — Convex sits in a high-value spot. The differences between the two types of systems, however, is converging to a point that people are only concerned with the time it takes to process a request, insiders say.

Mosaic

Mosaic.
Mosaic

Year founded: 2020

Total funding: $33.7 million, according to PitchBook

Valuation: $136.7 million, according to PitchBook

Key investors: Lux Capital, Correlation Ventures, DCVC

What it does: Mosaic creates tools to Excellerate the efficiency of training machine-learning models.

What investors are saying: While some companies can afford to spend the time and resources to train a model with billions of parameters, most machine-learning problems don't require that scale. MosaicML creates tools that help companies analyze the trade-offs of computing, size, speed, and other areas to optimize their training of those models.

Investors point to its cofounder Naveen Rao and his background as the head of AI at Intel as reasons they are excited about the company. But they consider MosaicML to be in the "dark-horse" category, as optimizing training is seen as a considerably difficult problem.

Kumo

Kumo's website.
Kumo

Year founded: 2021

Total funding: $36.6 million

Valuation: $250 million, according to PitchBook

Key investors: Sequoia Capital, Frank Slootman, Clem Delangue, SV Angel

What it does: Kumo provides companies with a way to automatically generate predictions based on customer data. It uses tools like the lingua franca of analysts, the Structured Query Language.

What investors are saying: Investors say the field Kumo is operating in is one of the more difficult ones in analytics and machine learning.

That makes it a high-risk, high-reward bet. It sits at the convergence of analytics and machine learning, which is ideal for customers but traditionally relies on a hodgepodge of tools duct taped together. Analytics tools often run on the SQL programing language, while the latter uses machine-learning and data-science packages running in Python.

Prefect

The Prefect team at a exact off-site event.
Prefect

Year founded: 2018

Total funding: $49 million, according to PitchBook

Valuation: $282 million, according to PitchBook

Key investors: Bessemer Venture Partners, Tiger Global Management, Quiet Capital

What it does: Prefect is an orchestration tool that manages data ingestion and usage. It was originally built for data science.

What investors are saying: Prefect was able to exploit an early opportunity in the weakness and general dissatisfaction with Airflow, particularly among data scientists. While Airflow was considered a go-to tool, it didn't support more advanced and faster use cases required for machine-learning tools.

But with Airflow expanding its capabilities, and now with a larger commercial entity behind it, investors are not certain Prefect will be able to unseat the product. They also note that Prefect is not the only tool trying to do so after the emergence of Dagster.

Hightouch

Hightouch CEO Kashish Gupta.
Hightouch

Year founded: 2018

Total funding raised: $54.2 million

Valuation: $450 million

Key investors: Barr Moses, Amplify Partners, Iconiq, Y Combinator, Bain Capital Ventures

What it does: Hightouch creates a tool called reverse ETL, or extract, transform, load, for moving data from databases like Snowflake and BigQuery into tools like Salesforce and Segment.

What investors are saying: The explosive growth of data-warehousing tools like BigQuery and Snowflake, as well as the rise of companies like Databricks, has reshaped how data analysis happens. While data from Salesforce and other tools is exported to Snowflake, Hightouch and its primary competitor, Census, exist to move it back into Salesforce.

Investors have been impressed with the growth of Hightouch's business, as it has gone through a series of pivots, like moving from focusing on marketing to engineers, to eventually land on building a reverse-ETL tool.

Adept

Adept's AI team.
Adept AI

Year founded: 2021

Total funding: $65 million

Valuation: Unknown

Key investors: Greylock, Addition Capital

What it does: Adept uses machine-learning models trained on massive amounts of conversational text to create a simple input that translates into actions. One example would be telling its tool, ACT-1, to create an entry in a spreadsheet.

What investors are saying: The company counts two of the writers of the seminal paper on today's most-widely used AI technique, "Attention Is All You Need," as part of its team, Ashish Vaswani and Niki Parmar. That technique powers the majority of modern AI tools like large language models, and the rest of its team comes from high-profile places like Google Brain.

Hex

Hex's cofounders.
Hex

Year founded: 2019

Total funding: $73.5 million

Valuation: $352 million, according to PitchBook

Key investors: Databricks, Snowflake, Redpoint, Amplify Partners, Andreessen Horowitz

What it does: Hex is a collaborative tool for data analysis that enables data scientists and analysts to work in the same workspace.

What investors are saying: Hex sits at the center of the increasingly overlapping roles of a data scientist and a data analyst. While both traditionally specialize in different languages, SQL for the former and Python for the latter, Hex creates a space where each can be used interchangeably for data analysis.

It's also connected to and built on top of modern data tools like Snowflake and Databricks. Investors' interest is piqued by its ability to bring analysis and visualization of data closer to where the coding is happening. That potentially cuts out the need for complicatged dashboards and allows data scientists and analysts to create more robust visualizations to explain trends in company data.

Census

Census CEO Boris Jabes.
Census

Year founded: 2018

Total funding raised: $80.3 million

Valuation: $560 million, according to PitchBook

Key investors: Sequoia Capital, Andreessen Horowitz, Insight Partners, Tiger Global Management

What it does: Census creates tools that help companies move data from data warehouses like BigQuery and Snowflake back into their apps like Salesforce or Segment. It's a tool that's colloquially called reverse ETL.

What investors are saying: Like Hightouch, Census' growth has dovetailed with the shift in modern data-analysis workflows to Snowflake via tools like DBT. Some investors consider Hightouch and Census relatively close competitors, though they say Hightouch has been more aggressive and public in its growth efforts.

RudderStack

RudderStack CEO Soumyadeb Mitra.
RudderStack

Year founded: 2014

Total funding: $82 million

Valuation: $576 million, according to PitchBook

Key investors: Insight Partners, Kleiner Perkins, S28 Capital

What it does: RudderStack builds a data-pipeline tool that tracks how customers interact with a product — from paying for it to engaging with it. It then creates tools for different teams at a company to use insights drawn from that data.

What investors are saying: RudderStack also provides reverse-ETL tools, like Hightouch and Census do, though it does not focus on them as a stand-alone business. RudderStack does raise some concerns for investors over whether it is trying to replace a customer-data-pipeline tool and whether that will be successful.

Materialize

Materialize CEO Arjun Narayan.
Materialize

Year founded: 2019

Total funding: $100.5 million

Valuation: $600 million, according to PitchBook

Key investors: Kleiner Perkins, Redpoint, Lightspeed Venture Partners

What it does: Materialize builds databases suited for real-time use cases that require very-fast processing and analytics.

What investors are saying: Real-time data pipelines are becoming increasingly important to the biggest players in the space, such as Snowflake and Databricks. Materialize specializes in that element, which has long been seen as a bit of an Achilles' heel for Snowflake. The problem is more complex than what some describe as "syntactic sugar," which gives the company's specialization an edge to coexist with those larger players.

Stability AI

The Stability AI founder Emad Mostaque.
Courtesy of Stability AI

Year founded: 2020

Total funding raised: $111 million

Valuation: $1 billion

Key investors: Coatue, Lightspeed Venture Partners

What it does: Stability AI is the backer of Stable Diffusion, a popular text-to-image AI generator. It's widely available for free and has caught fire on the internet, while OpenAI's DALL-E 2 text-to-image generator is not freely available.

What investors are saying: Stability AI was able to very quickly get a sign-off by much of the venture world given the rampant popularity of the product after it launched. Investors say the company is looking at a model similar to a holding company.

There are a number of concerns about the company and its relationship with Stable Diffusion. A separate research firm, Runway, built what would become Stable Diffusion. Stability AI issued a takedown request to Hugging Face for Stable Diffusion on Runway's code repository, though it was later rescinded.

Investors, however, say the company has engaged in outreach to a very large number of venture firms compared with its competitor Midjourney, which insiders say has largely been very quiet.

Jasper

From left, JP Morgan, Dave Rogenmoser, and Chris Hull, Jasper's cofounders.
Jasper

Year founded: 2018

Total funding: $146.69 million, according to PitchBook

Valuation: $1.5 billion

Key investors: Insight Partners, Coatue, Bessemer Venture Partners, Foundation Capital

What it does: Jasper uses OpenAI's text-generation tool GPT-3 to create marketing copy for a website.

What investors are saying: Jasper has had one of the fastest ramps in annual recurring revenue, signaling the value that an application built on top of generative AI can have. It's an early company to build a business on top of tools like GPT-3, with investors saying it's a sign of how quickly those types of businesses can be built in what they're calling the "app layer."

Snorkel

Snorkel's team.
Snorkel

Year founded: 2019

Total funding raised: $138.3 million, according to PitchBook

Valuation: $1 billion, according to PitchBook

Key investors: Lightspeed Venture Partners, GV, Greylock, Addition, BlackRock

What it does: Snorkel gives companies a way to automatically label data, such as images, that they can feed into machine-learning models and monitor their performance. Labeling is traditionally very costly and requires a lot of manual intervention, which Snorkel tries to automate.

What investors are saying: While many bring up Snorkel as a clear emerging powerhouse thanks to its adoption, there is a lot of uncertainty over how successful it will be. That's due to the scale and difficulty of what it is trying to build. The leadership team comes from Palantir, where they have put together a business model that should gain early traction, they say.

Tecton

Tecton CEO Mike Del Balso.
Tecton

Year founded: 2019

Total funding raised: $160 million

Valuation: $900 million

Key investors: Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Databricks, Snowflake

What it does: Tecton creates a tool called a feature store, which helps companies manage their machine-learning models. It allows companies to save computational work that might be repeated when updating machine-learning models.

What investors are saying: Tecton is one of the more controversial companies in investor discussions, with many saying the whole category of feature stores was overhyped and didn't justify an independent company. But with increasing interest in real-time machine-learning applications, particularly from Snowflake and Databricks, Tecton is back in focus.

Investors and insiders say Tecton has surprised the venture community with the customers it's acquired, in addition to the success of its open-source project Feast. And with the increasing prevalence of real-time use cases, Tecton is set to power a wide variety of new products.

Hugging Face

Hugging Face CEO Clem Delangue.
Hugging Face

Year Founded: 2016

Funding raised: $164.9 million, according to PitchBook

Valuation: $2 billion

Key investors: Lux Capital, Sequoia Capital, Coatue, Addition, SV Angel, Kevin Durant

What it does: Hugging Face hosts pretrained machine-learning models that anyone can download and use to immediately build AI-powered products. In addition, it's trained its own massive large language model called Bloom, which it has made open source.

What investors are saying: Hugging Face has become a beloved developer tool and one of the largest communities of machine-learning and data-science practitioners. And most of the top large tech companies, such as Meta, Google, and Microsoft, use Hugging Face in some form.

Investors say Hugging Face has built a massive moat thanks to its enthusiastic community. It also has a competitor for Streamlit, which Snowflake acquired for $900 million earlier this year.

Cohere

The Cohere cofounding team Ivan Zhang, Aidan Gomez, and Nick Frosst.
Cohere

Year founded: 2019

Funding raised: $164.9 million, according to PitchBook

Valuation: Unknown

Key investors: Index Ventures, Tiger Global, Fei-Fei Lin, Geoff Hinton

What it does: Cohere serves sophisticated large language models that allow businesses to better understand a variety of data they are collecting. They could use Cohere to parse customer-support tickets and understand what the issues are, for example.

What investors are saying: While there is some uncertainty around whether the company could be successful, most point to the investments and involvement of Fei-Fei Lin and Geoffrey Hinton, two critical figures in the AI community, as a sign of its potential.

Investors say it could be successful in working with companies that need models that are more sophisticated than those that Hugging Face offers. But there's also some caution around whether companies like OpenAI and Google could offer a more competitive, lower-cost product.

Weights & Biases

The Weights & Biases team.
Weights & Biases

Year founded: 2017

Total funding raised: $200 million

Valuation: $1.04 billion, according to PitchBook

Key investors: Bloomberg Beta, Insight Partners, Coatue, Felicis Ventures, Nvidia

What it does: Weights & Biases creates tools that help machine-learning practitioners monitor the quality and performance of their models. They can use them to determine how to fine-tune their models.

What investors are saying: Weights & Biases has constantly surprised investors with its performance from both a community-growth and a business-growth perspective. They typically lump Weights & Biases in with Hugging Face as a startup that is a clear winner in the category and expected to be one of the more successful machine-learning startups.

Investors also say Weights & Biases has been immensely successful in its fundraising and performance thanks to its founder, Lukas Biewald, who is a large part of the reason it reached its valuation.

Monte Carlo

Monte Carlo CEO Barr Moses.
Monte Carlo

Year founded: 2019

Total funding: $240.25 million

Valuation: $1.6 billion, according to PitchBook

Key investors: Redpoint, Iconiq, Salesforce, GGV, IVP, Accel

What it does: Monte Carlo helps companies monitor the quality of their data that is used in analytics and machine-learning tools. 

What investors are saying: The company is a somewhat divisive syllabu among investors. The ability to do forensics on data could be of high value, and all point to Monte Carlo's cofounder Barr Moses as a key factor in its success.

But some are concerned about the potential of the problem space and that its valuation may be getting ahead of its growth, though it is growing quickly.

Astronomer

Astronomer

Year founded: 2015

Total funding: $282.9 million

Valuation: Less than $1.3 billion

Key investors: Salesforce, Insight Partners, Sutter Hill Ventures, Venrock, JPMorgan

What it does: Astronomer is the commercial entity that backs Airflow, the largest open-source tool for organizing and managing data tasks.

What investors are saying: Astronomer stewards a tool that has almost universal adoption in data-management stacks. Airflow, originally built at Airbnb, is a ubiquitous tool companies use to ensure that data ingestion and analysis tasks happen in the right order and don't break down.

Investors point to how Airflow has nearly universal penetration in companies that rely on processing data in big chunks to update their tools and machine-learning models, also known as batch processing. Astronomer is seen by some to have revived Airflow after it stagnated without proper leadership.

But investors point to some consistent discontent with Airflow as an opening for a competing orchestration product, such as Prefect or one built by a larger company. Still, it's not clear whether there will be a product that can unseat Airflow.

Anyscale

The Anyscale founders Philipp Moritz, Ion Stoica, and Robert Nishihara.
Anyscale

Year founded: 2019

Total funding: $259 million, according to PitchBook

Valuation: $1.01 billion, according to PitchBook

Key investors: Andreessen Horowitz, Addition Capital, Intel Capital, Foundation Capital, New Enterprise Associates

What it does: Anyscale is the commercial entity behind Ray, an open-source tool that helps companies distribute their computational work across multiple hardware instances.

What investors are saying: It has attracted some of the same fervor as Databricks, as it's seen as a company that could create a new generation of data-management software. While the company hasn't necessarily built a business yet, it's hinging its success on the quick uptick in adoption of Ray. And as machine learning becomes more ubiquitous, investors are betting that Ray — like Databricks — will become a go-to tool for developers.

Starburst

Starburst's website.
Starburst

Year founded: 2017

Total funding: $431.12 million, according to PitchBook

Valuation: $3.35 billion

Key investors: Index Ventures, Salesforce Ventures, Andreessen Horowitz, Coatue

What it does: Starburst builds an optimized engine for querying and analyzing data across multiple data-storage providers, whether in the cloud or on premise.

What investors are saying: Investors point to Starburst and its backing of the open-source tool Presto. Some investors were surprised by its initial growth, with Presto being a compromise for companies that couldn't fully migrate to a cloud-native tool like Snowflake or Databricks.

In particular, investors point to its works with the on-premise-database provider Teradata, which many companies rely on for on-premise data analysis. Starburst is a tool that's well positioned to get the business of companies that will never make a full migration to the cloud, they say. However, there is some concern over whether a query engine such as Starburst or Dremio can be a successful long-term business.

DBT Labs

DBT

Year founded: 2016

Total funding: $414.64 million

Valuation: $4.2 billion, according to PitchBook

Key investors: Coatue, GV, Iconiq, Salesforce, Snowflake, Databricks, Andreessen Horowitz

What it does: DBT Labs builds and runs the open-source tool DBT, which helps developers ensure data inside products like Snowflake is clean and easily accessible.

What investors are saying: DBT has become ubiquitous in developer tool kits and is considered one of the catalysts of the shift toward modern data practices.

Growing in tandem with Snowflake and Databricks, DBT runs a key part of the data-management process. Its presence continues to quickly grow, especially with the launch of its company-metrics-management tool and support for the programming language Python.

Beyond that, DBT Labs has built a cultlike following for its products and is considered one of the best companies when it comes to developer relations.

Grafana Labs

Grafana's cofounders.
Grafana

Year founded: 2014

Total funding: $569.23 million, according to PitchBook

Valuation: $6 billion, according to PitchBook

Key investors: Sequoia, Lightspeed Venture Partners, Coatue, JPMorgan

What it does: Grafana builds tools for observability, or helping companies monitor the quality and performance of the data used in various parts of their operations. It runs the open-source Grafana project, one of the biggest tools in observability.

What investors are saying: Grafana has quickly become a go-to tool for developers as more and more companies invest in analytics and machine learning.

It recently hit $100 million in annual recurring revenue, and investors are consistently impressed with the feedback its products get from its customers. But it plays in a crowded space with several other startups.

One investor pointed to Datadog, a $25.5 billion public company, for comparison, though Grafana is an open-source vendor, which there will always be room for, this investor said.

ThoughtSpot

ThoughtSpot CEO Sudheesh Nair.
ThoughtSpot

Year founded: 2012

Total funding: $677.45 million, according to PitchBook

Valuation: $4.2 billion

Key investors: Lightspeed Venture Partners, Capital One, Khosla, General Catalyst, Fidelity, Snowflake

What it does: ThoughtSpot is a business-intelligence platform designed for more advanced data queries and use cases than Tableau and other tools can offer.

What investors are saying: ThoughtSpot is considered one of the better-positioned companies to unseat traditional visualization tools like Tableau and Looker. But investors say the tools generally are used together for different purposes.

They also consider its move to pivot to the cloud aggressive and highly risky but ultimately very rewarding, they say. It has put a lot of confidence in the leadership team to carry it across the finish line as a public company.

Fivetran

Fivetran CEO George Fraser.
Fivetran

Year founded: 2012

Total funding: $728.12 million

Valuation: $5.6 billion, according to PitchBook

Key investors: Andreessen Horowitz, General Catalyst, Iconiq, Matrix Partners

What it does: Fivetran builds tools that help companies import their data to Snowflake, Databricks, and other data hosts. Colloquially called extract, transfer, load, or ETL, it works in tandem with tools like DBT to connect dozens of data sources.

What investors are saying: Fivetran is attacking one of the most complex, fastest-growing problems in data management. The emergence and rise of data-storage schemas run by Snowflake and Databricks have shifted the center of gravity for data, and Fivetran seeks to help make that transition easier.

Insiders also say that while it could explore reverse ETL, like Census or Hightouch, the opportunity for ETL is still so large that it's more than enough to keep the company business.

Mon, 28 Nov 2022 20:00:00 -0600 en-US text/html https://www.businessinsider.com/vcs-share-unfiltered-thoughts-top-ai-data-startups-snowflake-databricks-2022-9
Killexams : The ex-consultants cashing in with a solution to the skills shortage

After a stint at Cognizant, Mr Choudhary and Atif Saad, the chief operating officer of Saasfocus, launched a new education platform called Saasguru in mid-2021.

The two men were inspired to start the business after they posted on LinkedIn offering to help retrain retrenched workers in April 2020. Fifty people responded and most landed new jobs, Mr Choudhary said.

Saasguru provides training for graduates and career changers starting their first job in cloud technology as well as professionals who have one or more cloud certificates and are working towards the next.

The company specialises in producing technology professionals who can implement and run different cloud technologies which are increasingly being adopted by companies to manage their internal and customer-facing systems.

Saasguru currently has 15 programs covering Salesforce, ServiceNow, AWS, GCP and Azure. It plans to use the $4 million seed funding to further build its technology stack and expand into high-demand cloud certifications.

Mr Choudhary said more than 40,000 learners from 20 different countries have used the platform that provides personalised programs and short, five- to seven-minute videos.

The platform has also recruited mentors, which it calls gurus, from around the world who are paid to assist students.

In January, Saasguru previously raised a pre-seed round of $1.3 million from investors Square Peg, Black Nova and Antler, which also participated in the seed round.

“There is a massive cloud skills shortage in the industry that is slowing down digital transformation initiatives undertaken by businesses,” said Lucy Tan, principal at Square Peg Capital.

“Universities are not well-equipped to solve this skills shortage as the skills update so quickly. This means post-university upskilling is critical for continued business growth and Saasguru provides a personalised learning pathway for cloud professionals to embark on, helping them get skilled and certified in cloud technologies.

“This can make a meaningful impact on people’s lives from either landing them in a new career or getting salary increases. We’re excited to continue to work with Amit, Atif, and the team on their journey to help close the skills gap in the cloud computing industry and empower millions of workers to take on new careers.”

Tue, 29 Nov 2022 04:00:00 -0600 en text/html https://www.afr.com/technology/the-ex-consultants-cashing-in-with-a-solution-to-the-skills-shortage-20221123-p5c0m7
Killexams : Top 5 stories of the week: Deloitte’s cybersecurity predictions, the true cost of a breach, AI’s new diet

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A new report released this week from Perception Point and Osterman Research found that, on average, companies pay $1,197 per employee each year to address cybersecurity incidents — which can add up quickly the larger an organization is. Against that backdrop, looking ahead to 2023, Deloitte predicts an increase in cybersecurity preparedness both for employees and board members alike. It also predicts that securing emerging technologies, ramping up connected device visibility and data-focused security practices will be priorities for teams in 2023 — however, Deloitte leaders also noted that the talent shortage is likely to continue as are issues with security supply chains.

This week, Mulesoft, a Salesforce-owned company, also made predictions about what’s ahead for the enterprise in 2023. It noted that nearly three years after the pandemic, companies are still pushing forward with a focus on accelerated digital transformation giving way for things like automation, composable agility, low-code and no-code tools, data automation and layered cyber defenses to continue to grow. 

Tech giants like Google, IBM, Microsoft and Intel also made news this week for the progress they’re making in quantum computing. The companies are pushing ahead, developing cloud services and other tools to test the use of quantum algorithms. Sandeep Pattathil, senior analyst at the IT advisory firm, Everest Group, told VentureBeat that a major challenge still ahead will be quantum computing’s algorithmic advances — not speed. 

Related to advancement challenges, experts say that since around 90% of AI and machine learning deployments fail to get off the ground, the industry needs to change what it’s feeding AI. Real data can be cumbersome and costly to obtain, label and iterate upon — and using a steady diet of synthetic data can supplement this. Kevin McNamara, CEO and founder of synthetic data platform provider, Parallel Domain, told VentureBeat that without synthetic data, AI may stay stuck in a “Stone Age,” of sorts. 

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Here’s more from our top 5 tech stories of the week:

  1. Deloitte reveals 10 strategic cybersecurity predictions for 2023
    Over the past few months, organizations including Uber, Cisco, Twilio and Rockstar Games have all fallen victim to data breaches as a result of cyberattacks. Recently, some of Deloitte’s leading analysts spoke with VentureBeat to share their top strategic cybersecurity predictions for 2023.

    The analysts revealed a range of predictions, including the importance cybersecurity and future-forward readiness and organizational resilience will play in helping enterprises to better control their exposure to threat actors in the future.


  1. Why AI needs a steady diet of synthetic data
    Artificial intelligence (AI) may be eating the world as we know it, but experts say AI itself is also starving — and needs to change its diet. One company says synthetic data is the answer.

    “Data is food for AI, but AI today is underfed and malnourished,” said Kevin McNamara, CEO and founder of synthetic data platform provider, Parallel Domain, which just raised $30 million in a series B round led by March Capital. “That’s why things are growing slowly. But if we can feed that AI better, models will grow faster and in a healthier way. Synthetic data is like nourishment for training AI.”


  1. Quantum progress: How IBM, Microsoft, Google and Intel compare
    Established enterprise leaders like IBM, Microsoft and Google continue to make progress in quantum computing. As a result, quantum computers are getting bigger and achieving advantages over traditional tech in limited circumstances. 

    These vendors are also developing cloud services that allow enterprises to test the waters of quantum algorithms using development tools and simulators running on classic hardware.


  1. Top 7 digital transformation trends to drive efficient growth in 2023 
    A couple of years ago, the pandemic drove an urgent acceleration in digital transformation initiatives. It pushed companies (of all sizes) to invest in advanced technologies to survive in the new normal.

    As this trend continues, Salesforce-owned Mulesoft has identified seven digital transformation aspects that will be key to overcoming operational pressures and driving efficient and sustainable growth in 2023.


  1. Cybersecurity incidents cost organizations $1,197 per employee, per year
    According to a new report released by threat prevention provider, Perception Point and Osterman Research, organizations pay $1,197 per employee yearly to address cyber incidents across email services, cloud collaboration apps or services and web browsers.

    This means the average 500-employee company spends $600,000 annually on addressing cybersecurity incidents, without factoring in additional costs like business losses, compliance fines or mitigation costs.


VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.

Sat, 26 Nov 2022 06:00:00 -0600 Ashleigh Hollowell en-US text/html https://venturebeat.com/security/top-5-stories-of-the-week-deloittes-cybersecurity-predictions-the-true-cost-of-a-breach-ais-new-diet/
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