Home News Announcing the 5th annual VentureBeat AI Innovation Awards at VB Transform 2023

Announcing the 5th annual VentureBeat AI Innovation Awards at VB Transform 2023

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As generative synthetic intelligence (AI) has quickly emerged as a transformative pressure throughout quite a few industries, shaping the way in which we work together, create and innovate, VentureBeat returns on July 11 with its annual flagship occasion, VB Remodel, which is able to focus this yr on getting forward of the generative AI revolution.

Remodel, might be a two-day in-person occasion, July 11 and 12, that includes trade specialists and friends coming collectively to offer complete insights and finest practices on the information journey of enterprises. As an added bonus, members can have quite a few alternatives to forge significant connections and increase their networks.

On the July 12 in-person occasion at San Francisco’s Marriott Marquis, VentureBeat will acknowledge and award enterprise, revolutionary, visionary and inclusivity initiatives by means of our fifth annual VB AI Innovation Awards.

The nominees are drawn from our every 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 generative AI take heart stage as we acknowledge their excellent contributions.

Introducing the 2023 AI Innovation Awards nominating committee

Matei Zaharia, cofounder and CTO at Databricks

Matei Zaharia is a cofounder and Chief Technologist at Databricks in addition to an Assistant Professor of Pc Science at Stanford College. He began the Apache Spark venture throughout his PhD at U.C. Berkeley in 2009, and has labored broadly on different extensively used knowledge and AI software program, together with MLflow, Delta Lake, Dolly and ColBERT. He works on all kinds of tasks in knowledge administration and machine studying at Databricks and Stanford. Matei’s analysis was acknowledged by means of the 2014 ACM Doctoral Dissertation Award, an NSF CAREER Award, and the U.S. Presidential Early Profession Award for Scientists and Engineers (PECASE). 

Tonya Custis, director of AI analysis, Autodesk

Curtis is a returning member of the nomination committee. “I’m thrilled to be a part of VentureBeat’s Remodel nomination cohort as a result of my workforce and I are on the frontlines of growing the applied sciences that may allow our prospects’ workflows for the longer term, and we have to be sure that we’re in sync and updated on the newest on this house,” she advised VentureBeat. “Above all, we wish to guarantee we offer the correct experience and options which might be each trusted and priceless.”

Di Mayze, world head of knowledge and AI, WPP

Di Mayze has over 20 years of know-how and knowledge expertise throughout media, FMCG, finance and retail, providing consulting for corporations reminiscent of Hearst UK, dunnhumby & Walgreens Boots Alliance.

She joined WPP in 2014 as MD of Acceleration (a part of Wunderman Thompson) and left in 2017 to grow to be a contract knowledge technique marketing consultant for Wavemaker, VML, Geometry, Wunderman Thompson and MediaCom. In January 2020, Di joined the OPEN workforce and have become world head of knowledge and AI for WPP. 

Mayze can be a returning member of the nomination committee.

Prem Natarajan, Chief Scientist, Head of Enterprise AI at Capital One

Prem Natarajan, Ph.D., is chief scientist, head of Enterprise AI at Capital One, the place he leads the know-how technique, structure, and improvement for Capital One’s enterprise knowledge, analytics, and machine studying initiatives, together with advancing its AI capabilities, instruments, and analysis efforts. Prem beforehand led Amazon’s Alexa AI group and brings greater than twenty years of expertise main science, know-how, and commercialization efforts in pure language processing, speech recognition, pc imaginative and prescient, forecasting, and different machine studying functions.

“I’m honored to serve on the nominating committee for this yr’s AI Innovation Awards. We’re at an extremely thrilling and traditionally necessary inflection level within the development of AI. When executed responsibly and successfully, AI has the potential to beneficially remodel each facet of our skilled and private lives — from how we develop code and functions, to how we uncover and eat data, to how we make it simpler for everybody to work together with programs and even with our environments,” Natarajan advised VentureBeat. “As we speak greater than ever, it’s necessary that we establish and elevate the main thinkers and innovators making significant contributions to this area, and I’m delighted to help VentureBeat’s efforts to do exactly that.”

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Kalyan Veeramachaneni, principal analysis scientist at MIT School of Computing

Kalyan Veeramachaneni is a co-founder of DataCebo, a industrial product primarily based 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 workforce that builds applied sciences that allow improvement, validation, and deployment of AI functions developed utilizing knowledge. Veeramachaneni has beforehand based two different AI start-ups: Feature Labs, a knowledge 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 12 months

This award will go to the corporate that has pushed the boundaries of generative AI the furthest prior to now yr and demonstrated essentially the most revolutionary use of the know-how. The winner can have created an utility, platform or service that showcases the huge potential of generative AI in a artistic, impactful manner.

Greatest Enterprise Implementation of Generative AI

This award will spotlight the highest enterprise firm that has applied generative AI know-how in a very transformative manner.

Most Promising Generative AI Startup

This award will go to essentially the most promising startup that has developed an revolutionary generative AI utility and demonstrated excessive progress potential, however 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 sphere of generative AI by means of their thought management, analysis, or work constructing foundational applied sciences. The winner could be judged primarily based on the novelty and affect of their contributions, as evidenced by publications, patents, or merchandise developed.

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Generative AI Variety & Inclusion

This award will acknowledge the corporate, group or person who has accomplished essentially the most to advertise variety and inclusion within the generative AI area. This might embrace advancing AI ethics, making AI applied sciences extra accessible, offering alternatives and help for underrepresented teams, or utilizing AI in a manner that reduces bias and promotes social justice.

Generative AI Open Supply Contribution

This award highlights the particular person, workforce or firm that has made essentially the most important contribution to open supply instruments, datasets, or different assets to assist advance generative AI.

Counting right down to the AI Innovation Award

We look ahead to sharing an inventory of ultimate AI Innovation Award nominees in the beginning of July, in addition to editorial and social media protection of nominees and winners. Awards might be introduced at VentureBeat’s in-person occasion at Remodel on July 12 in San Francisco. Keep tuned!

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