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KEYNOTE: Data protection at the innovation stage: how to keep control of your data in foundation model deployments

Data

Innovation

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OPENING KEYNOTE: The ethical implications of generative ai

Ethics

Use cases

Keynote

Author:

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator

Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

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CLOSING KEYNOTE: Scaling generative llms for enterprise use in a cost effective and safe manner

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[DATA SCIENCE TRACK] PRESENTATION: How to build cost effective infrastructure to support generative AI models in enterprises

Infrastructure

Investment

Data Scientist

Author:

Gautam Hotti

Director of Generative AI

Novartis

Highly experienced and visionary Director and Head of Enterprise Architecture with over 20 years of experience in leading cross-functional teams to design, build and implement complex software systems and platforms. Proven track record of developing architecture services and processes, rolling out governance best practices, leading distributed systems architecture and development. Currently driving adoption of Generative AI in Novartis.

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[BUSINESS LEADER TRACK] PRESENTATION: Enabling innovation through educating and upskilling your workforce on generative AI

Investment

Innovation

Risk Mitigation

Business Leader

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[DATA SCIENCE TRACK] PANEL: Mitigating for and avoiding model degradation through ML Ops and ML lifecycle management

MLOps

Risk Mitigation

Data Scientist

Author:

Aayush Mudgal

Senior Machine Learning Engineer

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur.

Author:

Viswanatha Allugunti

UX UI Mobility Manager

Johnson and Johnson

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[BUSINESS LEADER TRACK] PANEL: Build vs Buy: Where should enterprises be investing in people vs product?

Infrastructure

Investment

Business Leader

Panel

Author:

Jack Qiao

Senior Manager Data Science & AI

Lowe's Companies Inc.

Author:

Linus Liang

Founder and Managing Partner

Kyber Knight Capital

Linus is the Founder and Managing Partner of Kyber Knight Capital. He brings over twenty-five years of experience in venture capital and entrepreneurship to his leadership role. Before starting Kyber Knight Capital, Linus spent a decade at Signia Ventures, where he continues as a Partner. His entrepreneurial pursuits include co-founding Embrace, the company behind the world’s most affordable infant incubator. To date, Embrace has impacted the lives of over 500,000 infants worldwide in over a dozen countries.

Before Embrace, Linus founded several software companies focusing on mobile technology and social networking. He is well known for joining Zynga’s founding team, following the acquisition of his start-up, where he served as the tenth employee.

Linus’s career also encompasses roles at major corporations, including Program Manager at Microsoft, database researcher at IBM, and a member of the investment team at Andreessen Horowitz.

Linus is a holder of a B.A. in Computer Science from U.C. Berkeley, as well as an M.S. in Computer Science, an M.A. in Education, and an MBA from Stanford University. He is a co-instructor for Stanford’s Frontier Technologies course and has previously taught a Big Data class at Stanford’s Business School.