Webinar Breaking Barriers: How NVIDIA AI Workbench Makes AI Accessible to All June 27, 2024 | 1 p.m. ET / 10 a.m. PT

By Insight Editor / 29 May 2024

The AI Workbench webinar provides a deep dive into a unified developer experience. Learn how to achieve maximum flexibility for experimentation, prototyping and proof of concepts from Insight, Lenovo and NVIDIA.

AI Workbench removes the complexity of technical tasks that can derail experts and halt beginners, helping to democratize AI and machine-learning development for everyone.

Chat with your documents using retrieval-augmented generation
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Presented by:

Tyler Whitehouse

Principal Product Manager, NVIDIA

Tyler Whitehouse is the Principal Product Manager for NVIDIA AI Workbench. Prior to NVIDIA, he spent five years as CEO of a small startup that was acquired by NVIDIA in 2021. From 2012 to 2016, he worked in the machine learning consulting space at QS-2 and Booz Allen, focused on government clients. Prior to that, he held a postdoctoral position from 2009 to 2012 in the approximation theory group at Vanderbilt. He holds a bachelor’s degree in mathematics from UC Santa Cruz, as well as a Ph.D. in mathematics from the University of Minnesota Twin Cities.

Thomas Dufour

Partner Business Development Manager, Insight

Thomas Dufour is a seasoned professional with nearly 15 years of experience at Insight, where he has honed his expertise in a variety of roles including sales management and Microsoft licensing. For the last five years, he's excelled as a workstation specialist for Lenovo, applying his technical prowess to match clients with the optimal devices for their high-performance computing needs. His role as a technical resource involves meticulously right-sizing client requests, to ensure that each solution is perfectly tailored to meet the demands of their intensive tasks.

David Ellison

Chief Data Scientist, Lenovo

David Ellison is the Chief Data Scientist for Lenovo ISG. Through Lenovo’s US and European AI Discover Centers, he leads a team that uses cutting-edge AI techniques to deliver solutions for external customers while internally supporting the overall AI strategy for the Worldwide Infrastructure Solutions Group. Before joining Lenovo, he ran an international scientific analysis and equipment company and worked as a Data Scientist for the US Postal Service. Previous to that, he received a PhD in Biomedical Engineering from Johns Hopkins University. He has numerous publications in top tier journals including two in the Proceedings of the National Academy of the Sciences.

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