Join C-suite executives in San Francisco July 11-12 to hear how leaders are integrating and optimizing their AI investments for success.. learn more
As Generative Artificial Intelligence (AI) rapidly emerges as a transformative force in many industries, shaping the way we interact, create and innovate, VentureBeat will host its annual flagship event VB on July 11th. Host a Transform. This year we will focus on moving forward. This is the beginning of the generative AI revolution.
Transform is a two-day, in-person event on July 11th and 12th that brings together industry experts and peers to provide comprehensive insights and best practices on the enterprise data journey. Additionally, attendees are given many opportunities to make meaningful connections and grow their networks.
VentureBeat will recognize enterprise, innovative, visionary, and inclusive efforts through its fifth annual VB AI Innovation Awards at an in-person event on July 12 at the Marriott Marquis in San Francisco.
Candidates are selected based on our daily editorial coverage and the expertise, knowledge and experience of our Nominating Committee members. Get ready to witness pioneers and game changers in the field of generative AI gaining attention and being recognized for their outstanding contributions.
event
transform 2023
Join us July 11-12 in San Francisco. There, he shares how management integrated and optimized his AI investments to drive success and avoid common pitfalls.
Register now
Introducing the 2023 AI Innovation Awards Nominating Committee
Matei Zaharia, Co-founder and CTO of Databricks
Matei Zaharia is the co-founder and principal engineer of Databricks and an assistant professor of computer science at Stanford University. He started the Apache Spark project during his PhD in 2009 at the University of California, Berkeley, and has worked with other widely used data and AI software such as MLflow, Delta Lake, Dolly, and ColBERT. has worked extensively on He works on various data management and machine learning projects at his Databricks and Stanford. Matei’s research was recognized through his 2014 ACM Doctoral Dissertation Award, the NSF CAREER Award, and the US President’s Early Career Award for Scientists and Engineers (PECASE).
Tonya Custis, Director of AI Research, Autodesk
Tonya Custis leads the Autodesk AI Lab, a team doing fundamental and applied AI research, primarily in generative AI and deep learning for CAD geometry. She has conducted her AI research at Autodesk, Thomson Reuters, Honeywell and eBay and has over 15 years of experience leading AI research teams and projects. She has her Ph.D. She holds a PhD in Linguistics, an MS in Computer Science, an MS in Linguistics, and a Bachelor of Arts in Music.
Curtis will return to serve as a member of the nominating committee. “I am thrilled to be part of VentureBeat’s Transform nomination group because my team and I are at the forefront of developing technologies that will enable our customers’ workflows of the future, ensuring they are working in sync. Because we need to make sure we’re up to date on the latest in this space,” she told VentureBeat. “Above all, we want to ensure that we provide the right expertise and solutions that are trusted and valuable.”
Di Mayze, Global Head of Data and AI, WPP
Di Mayze has over 20 years of technology and data experience across media, FMCG, finance and retail, providing consulting to companies such as Hearst UK, dunnhumby & Walgreens Boots Alliance.
She joined WPP in 2014 as MD of Acceleration (part of Wunderman Thompson) and left in 2017 to become a freelance data strategy consultant for Wavemaker, VML, Geometry, Wunderman Thompson and MediaCom. In January 2020, Di joined the OPEN team and became WPP’s global head of data and she’s AI.
Mays is also returning to the nominating committee.
Prem Natarajan, Chief Scientist and Head of Enterprise AI at Capital One
Dr. Prem Natarajan is Chief Scientist and Head of Enterprise AI at Capital One, where he leads the technical strategy, architecture and development of Capital One’s enterprise data, analytics and machine learning efforts, including the evolution of AI capabilities. . tools and research efforts. Prem previously led his Alexa AI organization at Amazon and has led science, technology and commercialization efforts in natural language processing, speech recognition, computer vision, prediction and other machine learning applications over his 20 years. Bringing over years of experience.
“I am honored to be on the nominating committee for this year’s AI Innovation Awards. We are at an incredibly exciting and historically significant tipping point in the progress of AI. When done effectively, it touches every aspect of our professional and personal lives, from how we develop code and applications, to how we find and use information, to how we make it easy for anyone to interact with our systems. It has the potential to be beneficially transformative, and in our environment,” Natarajan told VentureBeat. “Today, it is more important than ever to identify and promote leading thinkers and innovators who are making meaningful contributions to the field, and we are pleased to support VentureBeat’s efforts to do just that. .”
Kalyan Veeramachaneni, Principal Research Fellow, MIT Computing University
Kalyan Veeramachaneni is the co-founder of DataCebo, a commercial product based on Synthetic Data Vault (SDV). Veeramachaneni is also a principal investigator at the MIT Schwartzman College of Computing. In 2015, he founded MIT’s He Data-to-AI (DAI) Lab (part of MIT LIDS), where he develops, validates, and deploys AI applications developed using data. I lead a team that builds technology that enables So far, Veeramachaneni has founded two other AI startups. One is Feature Labs, a data science automation company that enables companies to create machine learning models from data using automated feature engineering, the other he is an AI cybersecurity company. is PatternEx.
Categories of AI Innovation Awards
Generative AI Innovator of the Year
This award recognizes the company that has pushed the boundaries of generative AI the most and demonstrated the most innovative use of the technology over the past year. The winner has created an application, platform, or service that demonstrates the vast potential of generative AI in creative and impactful ways.
Award for Best Enterprise Implementation of Generative AI
This award highlights the top companies that have implemented generative AI technology in truly innovative ways.
The Most Promising Generative AI Startups
This award goes to the most promising startups that have developed innovative generative AI applications, demonstrated high growth potential, and raised less than $30 million in funding.
Generative AI Visionary
This award recognizes individuals who have made significant contributions to the field of generative AI through thought leadership, research, or building the underlying technology. Winners will be judged on the novelty and impact of their contributions as evidenced by publications, patents and products developed.
Diversity and Inclusion in Generative AI
This award recognizes companies, organizations, or individuals who have made the greatest contribution to promoting diversity and inclusion in the field of generative AI. This includes improving AI ethics, making AI technology more accessible, providing opportunities and support for underrepresented groups, and using AI in ways that reduce stigma and promote social justice. There is a possibility.
Contributing to Generative AI Open Source
This award highlights individuals, teams, or companies who have made the greatest contributions to open source tools, datasets, or other resources that help advance generative AI.
Countdown to AI Innovation Awards
We look forward to sharing the list of AI Innovation Award finalists in early July, as well as editorial and social media coverage about the nominees and winners. The awards will be presented at his VentureBeat in-person event at Transform on July 12th in San Francisco. stay tuned!
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