Today’s episode is the third in a special series we’re calling ‘Beyond GPU,’ taking a look at edge AI computing challenges and solutions with help from guests at leading vendors and superscale global tech brands leading the most advanced hardware platform teams on the planet. Today’s guest is Peter Tu, Chief Scientist of Computer Vision at GE Research. Peter returns to the ‘AI in Business’ podcast to talk about the advances in real-time cloud computing that are making computer vision more accessible across manufacturing, and how executives can take advantage of these advances with the proper preparations in infrastructure and systems. This episode is sponsored by Rain. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
What Large Language Models Mean for Lawyers - with Danny Tobey and Bennett Borden of DLA Piper
Building a Data-Driven Go-To-Market Engine in Retail - with Michael Tambe of Amazon
[AI Futures] Dataiku's CEO on "Growing Up in a GenAI World" - with Florian Douetteau
Looking into Our GenAI Future Across Industries - with Carm Taglienti of Insight
Looking at Refund and Loyalty Programs in Retail From a Data Perspective - with Jeff Otto of Riskified
Looking at Insurance Challenges from a Telecom Perspective - with Haden Kirkpatrick of State Farm
The Essentials on the Digital Transformation of the Automotive Industry - with Don McGuire of Qualcomm
[Beyond GPU] Finding ROI for AI at the Edge - with Gordon Wilson of Rain
[AI Futures] What is Life Like When the Internet is “Generative”? - with Mark Surman of the Mozilla Foundation
The Impact of Generative AI on Healthcare - with Heather Lane of Athenahealth
AI Solutions for R&D Challenges in Life Sciences - with Ramesh Durvasula of Eli Lilly
How to Identify High-ROI Use Cases for GenAI and Achieve Success Quickly - with Carm Taglienti of Insight
[Beyond GPU] AI Hardware for Computer Vision - with Adam Burns of Intel
[AI Futures] A Debate on What AGI Means for Society and the Species - with Roko Mijic and Roman Yampolskiy
LLMs and Generative AI for Financial Planning and Life Insurance Workflows - with Christian Mitchell of Northwestern Mutual
[Beyond GPU] Solutions for AI Hardware Challenges from Infrastructure to Deployment - with Mark Heaps of Groq
Exploring Use Cases in Foundational Models for Life Sciences, Retail and Manufacturing - with Alberto Rizzoli of V7
Facing Retail Challenges in the Era of Generative AI - with Alan Boehme of H&M
[AI Futures] AI and the Future of Intimacy - with Professor Pani Farvid of the New School
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