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Williams F1 drives digital transformation in racing with AI, quantum

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"The thing that really attracted me to Formula 1 is that it's always been about data and technology," says Graeme Hackland, Williams Group IT director and chief information officer of Williams Racing. Since joining the motorsport racing team in 2014, Hackland has been putting that theory into practice. He is pursuing what he refers to as a data-led digital transformation agenda that helps the organization's designers and engineers create a potential competitive advantage for the team's drivers on race day. Hackland explains to VentureBeat how Williams F1 is looking to exploit data to make further advances up the grid and how emerging technologies, such as artificial intelligence (AI) and quantum computing, might help in that process. This interview has been edited for clarity.


AI Weekly: The promise and limitations of machine programming tools

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Machine programming, which automates the development and maintenance of software, is becoming supercharged by AI. During its Build developer conference in May, Microsoft detailed a new feature in Power Apps that taps OpenAI's GPT-3 language model to assist people in choosing formulas. Intel's ControlFlag can autonomously detect errors in code. And Facebook's TransCoder converts code from one programming language into another. The applications of computer programming are vast in scope.


Transform 2021: Where does your enterprise stand on the AI adoption curve?

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Transform, the world's leading event on applied AI for enterprise business & technology decision makers, will host thousands of executives across industries to share their AI and data technology stories. VentureBeat is bringing back its AI survey to sample leaders who are innovating and integrating AI and other large data projects into their workflows and product development, as well as those who are interested in learning how to get started. It takes just a few minutes, and in return, you'll get an exclusive look at the full results. You'll also be invited to join Transform as a VIP passholder and hear from Matt Marshall, CEO at VentureBeat, on July 16th for top learnings and trends gleaned from results. Attendees from across the globe will join Transform online to hear from top industry experts on strategy and technology in the main application areas of AI/ML automation technology, data, analytics, intelligent automation, conversational AI, intelligent AI assistants, AI at the edge, IoT, & computer vision.


80% of tech could be built outside IT by 2024, thanks to low-code tools

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It looks like no-code and low-code tools are here to stay. Today, Gartner released new predictions about technology products and services, specifically who will build them and the impact of AI and the pandemic. The research firm found that by 2024, 80% of tech products and services will be built by people who are not technology professionals. Gartner also expects to see more high-profile announcements of technology launches from nontech companies over the next year. "The barrier to become a technology producer is falling due to low-code and no-code development tools," Gartner VP Rajesh Kandaswamy told VentureBeat.


DataRobot exec talks 'humble' AI, regulation

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Organizations of all sizes have accelerated the rate at which they employ AI models to advance digital business transformation initiatives. But in the absence of any clear-cut regulations, many of these organizations don't know with any certainty whether those AI models will one day run afoul of new AI regulations. Ted Kwartler, vice president of Trusted AI at DataRobot, talked with VentureBeat about why it's critical for AI models to make predictions "humbly" to make sure they don't drift or, one day, potentially run afoul of government regulations. This interview has been edited for brevity and clarity. VentureBeat: Why do we need AI to be humble?


AI 'dominated scientific output' in recent years, UNESCO report shows

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The United Nations Educational, Scientific, and Cultural Organization (UNESCO) today unveiled its latest Science Report. The massive undertaking -- this year's report totals 762 pages, compiled by 70 authors from 52 countries over 18 months -- is published every five years to examine current trends in science governance. This latest edition includes discussion of the rapid progress toward Industry 4.0 and, for the first time, a deep analysis of AI and robotics research around the globe. Going beyond just the global leaders, it offers an overview of almost two dozen countries and global regions, examining AI research, funding, strategies, and more. Overall, the report determines "it is the field of AI and robotics that dominated scientific output" in recent years.


Transform 2021 puts the spotlight on women in AI

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VentureBeat is proud to bring back the Women in AI Breakfast and Awards online for Transform 2021. In the male-dominated tech industry, women are constantly faced with the gender equity gap. There is so much work in the tech industry to become more inclusive of bridging the gender gap while at the same time creating a diverse community. VentureBeat is committed year after year to emphasize the importance of women leaders by giving them the platform to share their stories and obstacles they face in their male-dominated industries. As part of Transform 2021, we are excited to host our annual Women in AI Breakfast, presented by Capital One, and recognize women leaders' accomplishments with our Women in AI Awards.


DotData extracts key data features to make machine learning useful

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Many artificial intelligence experts say that running the AI algorithm is only part of the job. Preparing the data and cleaning it is a start, but the real challenge is to figure out what to study and where to look for the answer. Is it hidden in the transaction ledger? Finding the right features for the AI algorithm to examine often requires a deep knowledge of the business itself in order for the AI algorithms to be guided to look in the right place. DotData wants to automate that work.


Stoke nabs $15.5M to boost its AI-driven freelance management system

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Stoke is announcing it has raised $15.5 million in a series A round of funding. The company, which offers a freelance management system (FMS) to help enterprises manage independent contractors, freelancers, consultants, agencies, and gig workers, will use the funds to build out engineering, product marketing, and sales, Stoke cofounder and CEO Shahar Erez told VentureBeat. In terms of the product itself, he says the company wants to expand its partner ecosystem for marketplaces with sources for talent, including improving the experience for sourcing and adding a greater variety of sourcing capabilities. The company will also work toward launching global compliance for classification, rounding out compliance offerings for the U.S. and some European countries that Erez said are now "pretty solidified." In March, Stoke launched its Worker Classification Engine, an AI-powered system that analyzes companies' relationships with contractors and freelancers and alerts them to potentially costly compliance risks.


Streamlytics aims to reduce AI bias by helping users sell their data

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The data tides are changing. Between the influx of regulations, Apple's new privacy controls, and greater concern around privacy issues, it's clear enterprises won't be able to collect and leverage data as they have been for much longer. Streamlytics, a Miami-based data provider founded in 2018, believes letting users sell their data could be part of the solution. The company has already collected more than 75 million data points this way and says it aims to "democratize" data by giving users more control and then selling the user-supplied data to enterprises -- from media conglomerates to consumer goods companies. Streamlytics is particularly focused on working with Black users in the U.S. and on getting underrepresented data into AI training models.