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Agenda

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October 09, 2025
The Contemporary Jewish Museum
736 Mission Street
San Francisco

Agenda

Key themes:

1️⃣ Agent Creation & Orchestration
2️⃣ Trust, Safety & Evaluation

3️⃣ Data Quality & Strategy for High-Performance AI Systems

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What's on
Main Stage
Podcast Stage
Innodata GenAI Summit
Innodata GenAI Summit
Innodata GenAI Summit
08:00
Main Stage
Welcome reception | Registration & breakfast
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09:15
Main Stage
Opening remarks
Jack Abuhoff, CEO, Innodata
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09:30
Main Stage
From hype to healing: Agentic AI, trust, and the data that powers industry's next leap
Archie Mayani, Chief Product Officer, GHX
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10:00
Main Stage
Panel | The intelligent enterprise: Driving impact with next-gen agents
Harish Epuri, VP, Engineering, Autodesk
Praveen Gunasekaran, Chief AI Architect, Engineer, Visa
Gaia Bellone, Chief Data & AI Officer, Prudential Financial
Natarajan Subbiah, Chief Product & Data Science Officer, Uber
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10:30
Main Stage
Coffee break
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10:30
Podcast Stage
Stack to scale: Building AI that ships
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10:45
Podcast Stage
Autonomous, not unhinged: Engineering safe agents
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11:00
Main Stage
Panel | Securing agentic deployment & scalability
Jefferson Barlew, VP, Delivery for AI/ML, Innodata
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11:30
Main Stage
Fireside chat | Coordinated intelligence: Architectures for distributed decision-making
Jack Abuhoff, CEO, Innodata
Rahul Singhal, Chief Product & Revenue Officer, Innodata
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12:00
Main Stage
Lunch break
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12:00
Podcast Stage
Context is king: Architecting adaptive AI systems
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12:45
Podcast Stage
LLMs in the wild: Lessons from real-world deployment
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13:00
Main Stage
Panel | Defining and ensuring "high-quality data” in the context of modern AI systems
Hitesh Seth, Chief Architect, Financial Services & Insurance, Salesforce
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13:30
Main Stage
Protecting data privacy and ensuring valid model outputs
Bob Friday, Chief AI Officer, Juniper Networks
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14:00
Main Stage
Live workshop | Training & refining existing and pre-trained models
Misam Abbas, Staff AI Engineer, LinkedIn
Rahul Singhal, Chief Product & Revenue Officer, Innodata
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14:30
Main Stage
Panel | Ensuring model safety: Approaches to secure & robust AI in critical applications
Jagadish Venkataraman, VP, Machine Learning, UnitedHealth Group
Nitin Aggarwal, Senior Director, Generative AI, Microsoft
Karen McNeil, PhD, LLM Red Teaming Practice Director, Innodata
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15:00
Main Stage
Lightning talk #1 | Building Amazon Nova: Behind the scenes of agentic AI and foundation models
Michael Giannangeli, Head of Product, Agentic AI, Amazon Nova, Amazon
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15:10
Main Stage
Lightning talk #2 | Improving engineering efficiency, code quality, and reliability
Abhishek Vyas, AI Product Manager, Meta
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15:20
Main Stage
Lightning talk #3 | Scalable data architectures ensuring continuous improvement & platform reliability
Bhavna Hirani, Engineering Manager, Autodesk
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15:30
Main Stage
Coffee break
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15:45
Podcast Stage
Retrieval or reasoning? RAG, CAG, and the future of context
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16:00
Main Stage
What enterprise now needs to deliver trustworthy AI
Shivani Poddar, Senior Engineering Lead, Google
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16:30
Main Stage
Enhancing performance, safety & efficiency: Lessons from post-training Llama, MovieGen & Emu
Bardiya Sadeghi, Head of Human Data, GenAI & FAIR, Meta
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17:00
Main Stage
Closing address
Jack Abuhoff, CEO, Innodata
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17:15
Main Stage
Beer & build 🍻
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