Scaling AI Globally Without Breaking Trust, Speed, or Security

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.

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.

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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:

Dr. Meeta Yadav Vouk, Vice President of Product Management, AI and Analytics at Teradata
Teradata Website and LinkedIn
Simone Bohnenberger-Rich, CPO at Phrase
Jason Hemingway, CMO at Phrase
Phrase Website