Rework 2024 returns this July! Over 400 enterprise leaders will collect in San Francisco from July Sep 11 to dive into the development of GenAI methods and interesting in thought-provoking discussions inside the neighborhood. Discover out how one can attend right here.
Generative AI has gained important traction throughout enterprises during the last 12 months, with virtually one-third of corporations utilizing gen AI usually in at the least one enterprise operate. Amidst this, VentureBeat returns on July 9 with our annual flagship occasion, Rework, which is able to focus this 12 months on “Placing AI to Work.”
Rework, which shall be a three-day in-person occasion, from July 9 by way of 11, is the premier occasion for enterprise technical decision-makers eager on mastering gen AI functions. This unique networking occasion dives into essential sectors like well being, finance and software program, with insights from Fortune 500 leaders together with Wells Fargo, Walmart and Kaiser Permanente, and modern, rising corporations like Brex, Pinterest and Airbnb.
Attendees can count on in-depth discussions on promising AI functions, challenges in AI orchestration and enhancing AI accessibility throughout organizations, positioning VB Rework on the forefront of gen AI innovation.
On the July 10 in-person occasion in San Francisco, VentureBeat will acknowledge and award enterprise, modern, visionary and inclusivity initiatives by way of our sixth annual VB AI Innovation Award.
The nominees are drawn from our day by day editorial protection and the experience, information and expertise of our nominating committee members. Put together to witness the trailblazers and game-changers within the realm of gen AI take middle stage as we acknowledge their excellent contributions.
Introducing the 2024 AI Innovation Awards nominating committee
–Jonathan Frankel is chief scientist for neural networks at Databricks, which acquired his earlier startup MosaicML, an organization devoted to creating it straightforward and cost-effective for anybody to coach large-scale, state-of-the-art neural networks. Jonathan accomplished his Ph.D at MIT and beforehand earned his bachelor’s and grasp’s levels at Princeton College. He additionally spends a portion of his time engaged on know-how coverage on matters associated to AI. He beforehand served because the inaugural workers technologist on the Heart on Privateness and Expertise at Georgetown Regulation.
–Diya Wynn is the accountable AI lead at AWS. She began and leads buyer engagement globally on accountable AI. In her function, she focuses on serving to organizations uncover and mitigate dangers or potential unintended impacts associated to AI’s growth, deployment and use. She has offered accountable AI info for legislators and policymakers to assist form imminent AI regulation and coverage. Earlier in her profession, she labored in early-stage corporations to scale merchandise for acquisition, and in consulting. She is an writer and worldwide speaker; serves on non-profit boards; volunteers with a number of organizations; and visitor lectures on accountable and inclusive know-how. In 2023, she was named certainly one of Enterprise Insider’s prime 15 individuals in Enterprise AI and prime 100 individuals in AI and certainly one of 100 Sensible Ladies in AI Ethics. She additionally acquired the VentureBeat Ladies in AI’s Accountable AI award.
–Tonya Custis leads the Autodesk AI Lab, a crew that does elementary and utilized AI analysis, primarily in gen AI and deep studying for CAD geometry. She has greater than 15 years of expertise performing AI analysis and main AI analysis groups and tasks at Autodesk, Thomson Reuters, Honeywell and eBay. She has a Ph.D. in Linguistics, a grasp’s in pc science, a grasp’s in linguistics and a bachelor’s in music.
Custis is a returning member of the nomination committee.
“I’ve been doing AI analysis for 20 years, so it’s so thrilling to lastly see a lot of what we’ve been making an attempt to do for therefore lengthy lastly occurring,” Custis advised VentureBeat. “It’s such an thrilling time to be working in AI and a privilege to serve on this committee to acknowledge a number of the good AI improvements and functions which might be altering how we dwell and work.”
–Prem Natarajan is chief scientist and head of enterprise AI at Capital One. He leads the know-how technique, structure, and growth for Capital One’s enterprise knowledge, analytics and machine studying (ML) initiatives, together with advancing its AI capabilities, instruments and analysis efforts. Natarajan beforehand led Amazon’s Alexa AI group and brings greater than 20 years of expertise main science, know-how and commercialization efforts in pure language processing (NLP), speech recognition, pc imaginative and prescient, forecasting and different ML functions.
“It’s an honor to return to VentureBeat Rework’s AI Innovation Awards nominating committee. New approaches to AI, and more and more gen AI, have demonstrated the potential to ship substantial advantages and to democratize entry to a broader suite of companies, capabilities, and assets throughout the complete social spectrum than ever earlier than,” Natarajan mentioned. “The AI Innovation Awards are an vital discussion board to raise and have fun the visionary efforts of the people and groups who’re pushing the boundaries of Generative AI in considerate ways in which create optimistic, enduring worth.”
–Kalyan Veeramachaneni is principal analysis scientist at MIT Faculty of Computing. He’s a co-founder of DataCebo, a business product based mostly on the Synthetic Data Vault (SDV). Veeramachaneni can be a principal analysis scientist on the MIT Schwarzman College of Computing. In 2015, he based MIT’s Data-to-AI (DAI) Lab (a part of MIT LIDS), the place he directs a crew that builds applied sciences that allow the event, validation and deployment of AI functions. Veeramachaneni has beforehand based two different AI start-ups: Feature Labs, an information science automation firm that enabled enterprises to create machine studying fashions from their knowledge with automated characteristic engineering, and PatternEx, an AI cybersecurity firm.
AI Innovation Awards classes
Generative AI Innovator of the Yr
This award will go to the corporate that has pushed the boundaries of gen AI the furthest up to now 12 months and demonstrated probably the most modern use of the know-how. The winner could have created an utility, platform or service that showcases the huge potential of gen AI in a inventive, impactful approach.
Greatest Enterprise Implementation of Generative AI
This award will spotlight the highest enterprise firm that has carried out gen AI in a really transformative approach.
The award may also be supplied in classes particular to industries, together with:
- The Greatest Enterprise Implementations of Generative AI Award (Finance)
- The Greatest Enterprise Implementations of Generative AI Award (Well being)
- The Greatest Enterprise Implementations of Generative AI Award (Software program)
Most promising generative AI startup
This award will go to probably the most promising startup that has developed an modern gen AI utility and demonstrated excessive development potential and has raised lower than $30 million in funding.
Generative AI Visionary
This award will go to a person who has made important contributions to the sector of gen AI by way of their thought management, analysis or work constructing foundational applied sciences. The winner can be judged based mostly on the novelty and affect of their contributions, as evidenced by publications, patents or merchandise developed.
Generative AI Range and Inclusion
This award will acknowledge the corporate, group or person that has finished probably the most to advertise variety and inclusion within the gen AI subject. This might embody advancing AI ethics, making AI applied sciences extra accessible, offering alternatives and assist for underrepresented teams or utilizing AI in a approach that reduces bias and promotes social justice.
Generative AI Open Supply Contribution
This award highlights the particular person, crew or firm that has made probably the most important contribution to open-source instruments, datasets or different assets to assist advance gen AI.
Counting all the way down to the AI Innovation Awards
We look ahead to sharing an inventory of ultimate AI Innovation Award nominees later this month, in addition to editorial and social media protection of nominees and winners. Awards shall be offered at VentureBeat’s in-person occasion at Rework on July 10 in San Francisco. Keep tuned!
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