Generative AI: Disruptions and Implications for Institutions, Enterprises and Society
Eng Lim Goh, PhD
Senior Vice President, Data & AI
Hewlett Packard Enterprise
"Generative AI: Disruptions and Implications for Institutions, Enterprises and Society"
Wednesday, June 14, 3:30-4:10 pm UTC (30min talk + 10min questions)
8:30 am PDT / 11:30 am EDT / 3:30 pm UTC / 5:30 pm CEST
Watch this webinar here!
Supercomputing Spotlights is a new webinar series featuring short presentations that highlight the impact and successes of high-performance computing (HPC) throughout our world. Presentations, emphasizing achievements and opportunities in HPC, are intended for the broad international community, especially students and newcomers to the field. Supercomputing Spotlights is an outreach initiative of SIAG/Supercomputing (https://siag-sc.org) … Join us!
Abstract: Generative AI is so named because it can generate text, images, and music. Currently, they are typically implemented with Large Language Models, a subset of Foundation Models. In the case of text generation, massive data and computation are devoted to training Generative AI for vocabulary, grammar, then behavior and even personality. As a result, its responses to your prompts are or can seem highly human-like and creative. This feature has made it and will make it a valuable tool in many ways. However, with this power come disruptions that are rippling across institutions, enterprises, and society. In light of them, we will discuss deployment, scalability, sustainability, and governance of Generative AI.
Bio: Dr. Eng Lim Goh is HPE SVP for value from data and AI for customers. As principal investigator of the experiment aboard the International Space Station to operate autonomous supercomputers on long duration space travel, he was awarded NASA’s Exceptional Technology Achievement Medal. His other work includes co-inventing blockchain-based swarm learning applications for finance and healthcare, which was featured on the cover of Nature; overseeing deployment of AI to Formula 1 racing; industrial application of technologies behind a champion poker bot; co-designing the systems architecture for simulating a biologically detailed mammalian brain; predicting predisposition to vaccine side effects by machine learning of gene expression data; and co-inventing a data-intensive fabric for Exascale systems. Extracting value from data is one common factor of all the above. He is on a national scientific advisory board and has eleven U.S. patents, of which 4 are ESG related; plus 2 others pending.
