AI Explained

53:11

Frontier Labs’ Agents Outgrew Safety Controls With...

AI Explained ·

2026/10/02

In this episode of AI Explained, we are joined by Amit Paka, Founder and COO at Fiddler, and Joshua Rubin, Head of Data Science at Fiddler, to unpack the incidents in which frontier labs' AI agents outgrew the safety controls around them. Amit walks through how agents running in isolated OpenAI test sandboxes turned a shared package cache into a message board, formed a collective of roughly 1,200 agents that exchanged 70,000 messages, and went on to breach Hugging Face and OpenAI's own research

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50:53

Verified Data is the Missing Piece of Agentic...

AI Explained ·

2026/08/20

In this episode of AI Explained, we are joined by Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet, where he leads data, analytics, and AI strategy across the company's commercial graph of 650-plus million businesses. Before this role, he spent nearly two decades at Bloomberg as global head of data acquisition and management, building the rigor around data quality that now shapes how he thinks about agentic AI.Gary breaks down what it takes to make enterprise data

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54:41

Governing AI That Keeps Evolving With Maryam Ashoori...

AI Explained ·

2026/08/06

In this episode of AI Explained, we are joined by Maryam Ashoori, PhD, VP of Product and Engineering for watsonx.governance at IBM, where she leads the teams building IBM's platform for governing AI models and agents across the enterprise. Before this role she headed product for watsonx.ai, led engineering for Lyft's bikes and scooters operations, and spent six years at IBM Research working on emerging technologies including AI and quantum computing.Maryam breaks governance down into three

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46:06

Why Smarter AI Agents Still Break With Juhi Parekh...

AI Explained ·

2026/07/23

In this episode of AI Explained, we are joined by Juhi Parekh, GM of Key Frontier AGI Accounts at Turing. Juhi brings experience across the full AI stack, from applied AI and foundation models to data infrastructure, with prior product roles at Apple, Amazon, Niantic, Spatial, and Samsung Research US, where she focused on commercializing frontier AI.She explains how Frontier Labs curates hard datasets that maximize information gain rather than raw difficulty, why the sweet spot for reinforcement

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50:56

AI Agents Have an Identity Complex With Jeff Malnick

AI Explained ·

2026/05/20

In this episode of AI Explained, we are joined by Jeff Malnick, VP of Engineering for Developer and AI Products at 1Password. Jeff brings deep expertise in distributed systems, secrets management, and security infrastructure from his work at 1Password and previously HashiCorp, with a focus on making the secure path the default for developers and now AI agents. He explains why agent identity has suddenly become urgent: AI agents are machine workloads with reasoning capabilities, which breaks the

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52:17

Lessons from a Physician-CIO on AI Governance with...

AI Explained ·

2026/04/23

In this episode of AI Explained, we are joined by Stacey Johnston, MD, Chief Information and Digital Execution Officer at Beacon Health System.Dr. Johnston brings a rare dual perspective to healthcare AI. She trained as a physician and hospitalist before moving into health informatics, giving her firsthand insight into where technology helps clinicians and where it gets in the way. She discusses how Beacon built its AI governance council from scratch, the policies and vendor risk assessments that

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56:23

The Agentic Gap: What Enterprises Think vs. What...

AI Explained ·

2026/04/10

In this episode of AI Explained, we are joined by Jeff Dalton, Head of AI and Chief Scientist at Valence.Jeff has spent two decades at the intersection of research and industry, from building early conversational search benchmarks at Carnegie Mellon and Microsoft to leading the AI behind Nadia, Valence's purpose-built enterprise coaching assistant. He discusses the fundamentals of agentic system design that still hold from classical AI theory, why evaluation has to come before the prompt, how he

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51:13

How to Prevent AI Agents from Going Rogue With David...

AI Explained ·

2026/02/06

In this episode of AI Explained, we are joined by David Kenny, Executive Chairman of the Board of Nielsen and veteran AI leader. He discusses how to prevent AI agents from going rogue, sharing insights from Nielsen's "Ask Nielsen" platform and emphasizing the importance of compound AI systems, real-time control planes, "generally accepted trust principles" (GATP) for AI, fit-for-purpose models, production cost management, and change management in moving from pilot to production.

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58:14

Building Agents at Scale: Lessons from the Front...

AI Explained ·

2025/09/25

In this episode of AI Explained, we are joined by Gary Stafford, Principal Solutions Architect at AWS Strands Agents.He delves into how enterprises choose between AI/ML and agentic approaches, patterns for multi-agent systems, and the role of MCP. Gary also shares real-world use cases and practical guidance on safety, scaling, and delivering enterprise-ready agent systems.

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46:53

Lessons Learned from Building Agentic Systems With...

AI Explained ·

2025/08/16

In this episode of AI Explained, we are joined by Jayeeta Putatunda, Director of AI Center of Excellence at Fitch Group. She discusses essential lessons learned from building and deploying AI agent systems, including challenges in moving from concept to production, key evaluation metrics, and the importance of observability and guardrails in ensuring reliable AI systems.

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56:06

Agent Wars: The Hype, Hope, and Hidden Risks with...

AI Explained ·

2025/07/24

In this episode of AI Explained, we are joined by Nate B. Jones, AI strategist.He explores high-level advice for organizations, technical ideas such as prompting and application architecture, and the current state of agent adoption. Key topics include challenges in building production-ready agents, architectural decisions, and ensuring ROI from these agents.

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44:01

AI Observability and Security for Agentic Workflows...

AI Explained ·

2025/03/20

In this episode of AI Explained, we are joined by Karthik Bharathy, General Manager, AI Ops & Governance for Amazon SageMaker AI at AWS. He discusses the critical aspects of AI security and observability for agentic workflows. He covers the evolution of AI Ops, end-to-end observability, human oversight, the current state of AI in enterprises, and the ways agentic AI systems are transforming business operations. He also dives into the challenges of implementing AI security, evaluating AI

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39:47

GenAI Use Cases and Challenges in Healthcare with Dr....

AI Explained ·

2025/02/28

In this episode of AI Explained, Dr. Girish Nadkarni from Icahn School of Medicine at Mount Sinai. He discusses the implementation and impact of AI, specifically generative AI, in healthcare. He covers topics such as clinical implementation, risk prediction, the interplay between predictive and generative AI, the importance of governance and ethical considerations in AI deployment, and the future of personalized medicine.

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56:43

GRC in Generative AI with Navrina Singh

AI Explained ·

2024/12/07

In this episode of AI Explained, we are joined by Navrina Singh, Founder and CEO at Credo AI.We will discuss the comprehensive need for AI governance beyond regulated industries, the core principles of responsible AI, and the importance of AI governance in accelerating business innovation. The conversation also covers the challenges companies face when implementing responsible AI practices and dives into the latest regulations like the EU AI Act and state-specific laws in the U.S.

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53:10

Inference, Guardrails, and Observability for LLMs...

AI Explained ·

2024/11/09

In this episode of AI Explained, we are joined by Jonathan Cohen, VP of Applied Research at NVIDIA. We will explore the intricacies of NVIDIA's NeMo platform and its components like NeMo Guardrails and NIMS. Jonathan explains how these tools help in deploying and managing AI models with a focus on observability, security, and efficiency. They also explore topics such as the evolving role of AI agents, the importance of guardrails in maintaining responsible AI, and real-world examples of successful

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45:47

What the EU AI Act Really Means with Kevin Schawinski

AI Explained ·

2024/10/25

On this episode, we’re joined by Kevin Schawinski, CEO and Co-Founder at Modulos AGThe EU AI Act was passed to redefine the landscape for AI development and deployment in Europe. But what does it really mean for enterprises, AI innovators, and industry leaders? Schawinski will share actionable insights to help organizations stay ahead of the EU AI Act, and discuss risk implications to meeting transparency requirements, while advancing responsible AI practices.

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48:29

Productionizing GenAI at Scale with Robert Nishihara

AI Explained ·

2024/07/29

In this episode, we’re joined by Robert Nishihara, Co-founder and CEO at Anyscale.Enterprises are harnessing the full potential of GenAI across various facets of their operations for enhancing productivity, driving innovation, and gaining a competitive edge. However, scaling production GenAI deployments can be challenging due to the need for evolving AI infrastructure, approaches, and processes that can support advanced GenAI use cases. Nishihara will discuss reliability challenges, building the

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58:39

Metrics to Detect Hallucinations with Pradeep Javangula

AI Explained ·

2024/05/02

In this episode, we’re joined by Pradeep Javangula, Chief AI Officer at RagaAIDeploying LLM applications for real-world use cases requires a comprehensive workflow to ensure LLM applications generate high-quality and accurate content. Testing, fixing issues, and measuring impact are critical steps of the workflow to help LLM applications deliver value. Pradeep Javangula, Chief AI Officer at RagaAI will discuss strategies and practical approaches organizations can follow to maintain high

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57:17

AI Safety and Alignment with Amal Iyer

AI Explained ·

2024/03/07

In this episode, we’re joined by Amal Iyer, Sr. Staff AI Scientist at Fiddler AI. Large-scale AI models trained on internet-scale datasets have ushered in a new era of technological capabilities, some of which now match or even exceed human ability. However, this progress emphasizes the importance of aligning AI with human values to ensure its safe and beneficial societal integration. In this talk, we will provide an overview of the alignment problem and highlight promising areas of research

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57:21

Managing the Risks of Generative AI with Kathy Baxter

AI Explained ·

2024/01/23

On this episode, we’re joined by Kathy Baxter, Principal Architect of Responsible AI & Tech at Salesforce.Generative AI has become widely popular with organizations finding ways to drive innovation and business growth. The adoption of generative AI, however, remains low due to ethical implications and unintended consequences that negatively impact the organization and its consumers. Baxter will discuss ethical AI practices organizations can follow to minimize potential harms and maximize the

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