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Operationalizing Foundation Models: The Next Frontier for Enterprise AI

Posted Oct 18
# TransformX 2022
# Fireside Chat
# Natural Language Processing (NLP)
# Large Language Models (LLMs)
# Foundation Models
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SPEAKERS
Sriram Raghavan
Sriram Raghavan
Sriram Raghavan
Vice President @ IBM Research AI

Sriram Raghavan is Vice President at IBM Research for AI (artificial intelligence). In this role, he leads a worldwide team of over 600 research scientists and engineers across all IBM Research locations who are advancing the field of AI and accelerating its applications to the digital transformation of enterprises. Sriram is responsible for establishing and executing a wide-ranging research agenda that spans foundational and applied AI and works with the commercial arms of IBM to integrate research innovations into IBM’s technology and consulting offerings.

Prior to his current role, Sriram was the Director of the IBM Research Lab in India and the CTO for IBM in India/South Asia. Sriram began his career in IBM at the Almaden Research Center in San Jose, California, USA where he led a variety of research efforts at the intersection of natural language processing, data management, business analytics, and distributed systems. Sriram is an alumnus of Stanford University, USA and the Indian Institute of Technology, Chennai, India. He is a recipient of the IBM Corporate Award for his technical accomplishments and a member of the technical advisory board of the Robert Bosch Center for Data Science & AI.

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Sriram Raghavan is Vice President at IBM Research for AI (artificial intelligence). In this role, he leads a worldwide team of over 600 research scientists and engineers across all IBM Research locations who are advancing the field of AI and accelerating its applications to the digital transformation of enterprises. Sriram is responsible for establishing and executing a wide-ranging research agenda that spans foundational and applied AI and works with the commercial arms of IBM to integrate research innovations into IBM’s technology and consulting offerings.

Prior to his current role, Sriram was the Director of the IBM Research Lab in India and the CTO for IBM in India/South Asia. Sriram began his career in IBM at the Almaden Research Center in San Jose, California, USA where he led a variety of research efforts at the intersection of natural language processing, data management, business analytics, and distributed systems. Sriram is an alumnus of Stanford University, USA and the Indian Institute of Technology, Chennai, India. He is a recipient of the IBM Corporate Award for his technical accomplishments and a member of the technical advisory board of the Robert Bosch Center for Data Science & AI.

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Vijay Karunamurthy
Vijay Karunamurthy
Vijay Karunamurthy
Head of Engineering @ Scale AI

Vijay Karunamurthy is currently Head of Engineering at Scale AI, where he is enabling Scale's mission to democratize AI to help business, governments and organizations see its full potential. Previously he was a Director of Engineering at Apple, where he worked on scalability, personalization and ML research for the App Store, TV+, Apple Watch and more. Prior to Apple, Vijay led Search and Discovery engineering teams at YouTube, and cofounded (with Steve Chen and Chad Hurley) startups focused on live video and content discovery (acquired by Apple and BlueJeans Network.)

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Vijay Karunamurthy is currently Head of Engineering at Scale AI, where he is enabling Scale's mission to democratize AI to help business, governments and organizations see its full potential. Previously he was a Director of Engineering at Apple, where he worked on scalability, personalization and ML research for the App Store, TV+, Apple Watch and more. Prior to Apple, Vijay led Search and Discovery engineering teams at YouTube, and cofounded (with Steve Chen and Chad Hurley) startups focused on live video and content discovery (acquired by Apple and BlueJeans Network.)

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SUMMARY

Sriram Raghavan, Vice President of IBM Research for AI, discusses foundation models with Vijay Karunamurthy, Scale’s Director of Engineering. Learn how Foundation Models allow enterprises to leverage recent research, while also fine tuning to their respective use cases and (often smaller) training datasets. Raghavan will explain how the effectiveness of Foundation Models comes from their ability to generalize nearly any data type and domain as another language. This is the same flexibility that helped IBM Watson double its number of supported languages in a year. Since then, as Raghavan will cover, IBM has demonstrated that it’s surprisingly effective to extend foundation models to time series and tabular data, simply by treating them as new forms of language.

He also discusses how to bring trust into the training process when working with transformers, and the most effective way to employ synthetic data for specific use cases. Prior to his current role, Raghavan was the Director of the IBM Research Lab in India and the CTO for IBM in India/South Asia. He began his career in IBM at the Almaden Research Center in San Jose, California where he led a number of research efforts at the intersection of natural language processing, data management, business analytics, and distributed systems.

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# TransformX 2021
# Fireside Chat