Create 2026 When AI speed meets enterprise control

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Post Title for Podcast

How organizations design responsible AI systems that balance innovation, governance, and regulatory readiness.

Featuring:

Jane Patel,

Chief AI Architect, Snowflake

John Doe,

Chief AI Engineer, Stark Industries

Test Name 3,

Chief AI Engineer, Stark Industries

John Doe,

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EPISODE
2
Mar 20, 2026

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44 min

Episode Overview

AI initiatives often fail not because of technology, but because organizations are unprepared for the operational and governance challenges that come with scaling AI. In this conversation, Gary Hoberman and David Ferrucci discuss how enterprises can design responsible AI systems that balance speed, security, and compliance.

Key Topics

  • Building responsible AI governance frameworks
  • Managing risk in enterprise AI systems
  • Aligning technology strategy with regulatory requirements
  • Designing scalable AI infrastructure

Conversation Highlights

  • [00:45] Introduction
  • [01:32] Risk Landscape

Related Content

Featuring

Jane Patel

Chief AI Architect, Snowflake

Jane Patel is Chief AI Architect at Snowflake, where she leads the design and strategy behind enterprise-scale AI and data platform architectures. With over 15 years of experience in machine learning infrastructure and distributed systems, she works closely with global organizations to help them build scalable, secure AI capabilities that integrate seamlessly with modern data platforms.

At Snowflake, Jane focuses on responsible AI deployment, model governance, and helping enterprises translate experimental AI initiatives into production-ready systems. She frequently advises technology leaders on balancing innovation with risk management and has spoken widely on topics including AI infrastructure, data architecture, and enterprise AI strategy.

John Doe

Chief AI Engineer, Stark Industries

Jane Patel is Chief AI Architect at Snowflake, where she leads the design and strategy behind enterprise-scale AI and data platform architectures. With over 15 years of experience in machine learning infrastructure and distributed systems, she works closely with global organizations to help them build scalable, secure AI capabilities that integrate seamlessly with modern data platforms.

At Snowflake, Jane focuses on responsible AI deployment, model governance, and helping enterprises translate experimental AI initiatives into production-ready systems. She frequently advises technology leaders on balancing innovation with risk management and has spoken widely on topics including AI infrastructure, data architecture, and enterprise AI strategy.

Test Name 3

Chief AI Engineer, Stark Industries

Jane Patel is Chief AI Architect at Snowflake, where she leads the design and strategy behind enterprise-scale AI and data platform architectures. With over 15 years of experience in machine learning infrastructure and distributed systems, she works closely with global organizations to help them build scalable, secure AI capabilities that integrate seamlessly with modern data platforms.

John Doe

Unqork

Guest Bio

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