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Scaling AI Globally Without Breaking Trust, Speed, or Security

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Manage episode 509936525 series 3689855
Content provided by Jason Hemingway. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jason Hemingway or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
AI is transforming how enterprises operate across regions, languages, and industries. But scaling AI globally while maintaining trust, compliance, and performance requires more than technical capability. It calls for the right infrastructure, clear governance, and a commitment to customer-centric delivery.
In this episode, host Jason Hemingway, CMO of Phrase, speaks with Dr. Meeta Yadav Vouk, Vice President of AI and Analytics at Teradata, about how enterprises are building automation strategies that can scale responsibly across highly regulated environments. Meeta shares how Teradata’s AI Factory and Enterprise Vector Store are helping customers deploy generative AI and automation in ways that support growth, reduce operational risk, and meet compliance requirements across different markets.
Whether you are enabling AI-driven customer experiences in multiple languages or deploying systems that need to meet strict data governance standards, this conversation explores the key principles behind enterprise-ready AI that delivers both speed and relevance.
What You’ll Learn:

  • How enterprises can move from AI pilots to production in mission-critical contexts
  • How to build trust in AI systems through explainability and transparent decision-making processes
  • Guardrails that keep agentic AI from going rogue
  • Why personalization and nuance are crucial for global AI deployment
  • Why organizations need to redefine risk management frameworks for AI implementation
  • How to integrate human expertise at strategic points in automated workflows
Dr. Meeta Yadav Vouk is the Vice President of Product Management, AI and Analytics at Teradata, where she leads the development of trusted AI solutions for mission-critical workloads across regulated industries. With a distinguished background spanning academia, chip design, and product leadership at IBM, she has pioneered innovative approaches to AI implementation and infrastructure scaling. Her expertise includes building AI systems that help global organizations deploy automation and generative AI with control, speed, and accountability.
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do so are here.
Highlights and YouTube Chapters:

  • 00:00 Introduction
  • 01:06 From Chips to Cybersecurity
  • 04:29 What Teradata Is Building
  • 06:57 Why Predictability Is the Holy Grail for Enterprise AI
  • 09:42 The Challenge of Going Global with AI
  • 16:06 Automation Without Losing the Human Touch
  • 22:56 Why AI Should Do the Dishes
  • 25:30 Where AI Shouldn’t Go
  • 31:26 Hallucinations, Scolding Bots, and Rogue Agents
  • 38:07 When AI Will Stop Being a Buzzword
  • 41:01 Final Reflections

Episode Resources:



  continue reading

7 episodes

Artwork
iconShare
 
Manage episode 509936525 series 3689855
Content provided by Jason Hemingway. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jason Hemingway or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
AI is transforming how enterprises operate across regions, languages, and industries. But scaling AI globally while maintaining trust, compliance, and performance requires more than technical capability. It calls for the right infrastructure, clear governance, and a commitment to customer-centric delivery.
In this episode, host Jason Hemingway, CMO of Phrase, speaks with Dr. Meeta Yadav Vouk, Vice President of AI and Analytics at Teradata, about how enterprises are building automation strategies that can scale responsibly across highly regulated environments. Meeta shares how Teradata’s AI Factory and Enterprise Vector Store are helping customers deploy generative AI and automation in ways that support growth, reduce operational risk, and meet compliance requirements across different markets.
Whether you are enabling AI-driven customer experiences in multiple languages or deploying systems that need to meet strict data governance standards, this conversation explores the key principles behind enterprise-ready AI that delivers both speed and relevance.
What You’ll Learn:

  • How enterprises can move from AI pilots to production in mission-critical contexts
  • How to build trust in AI systems through explainability and transparent decision-making processes
  • Guardrails that keep agentic AI from going rogue
  • Why personalization and nuance are crucial for global AI deployment
  • Why organizations need to redefine risk management frameworks for AI implementation
  • How to integrate human expertise at strategic points in automated workflows
Dr. Meeta Yadav Vouk is the Vice President of Product Management, AI and Analytics at Teradata, where she leads the development of trusted AI solutions for mission-critical workloads across regulated industries. With a distinguished background spanning academia, chip design, and product leadership at IBM, she has pioneered innovative approaches to AI implementation and infrastructure scaling. Her expertise includes building AI systems that help global organizations deploy automation and generative AI with control, speed, and accountability.
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do so are here.
Highlights and YouTube Chapters:

  • 00:00 Introduction
  • 01:06 From Chips to Cybersecurity
  • 04:29 What Teradata Is Building
  • 06:57 Why Predictability Is the Holy Grail for Enterprise AI
  • 09:42 The Challenge of Going Global with AI
  • 16:06 Automation Without Losing the Human Touch
  • 22:56 Why AI Should Do the Dishes
  • 25:30 Where AI Shouldn’t Go
  • 31:26 Hallucinations, Scolding Bots, and Rogue Agents
  • 38:07 When AI Will Stop Being a Buzzword
  • 41:01 Final Reflections

Episode Resources:



  continue reading

7 episodes

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