AI Explained

AI Explained

AI Explained is a series hosted by Fiddler AI featuring industry experts on the most pressing issues facing AI and machine learning teams. Learn more about Fiddler AI: www.fiddler.ai

Episodes

October 2, 2026 • 53 mins

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 messag...

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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...

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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...

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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 gai...

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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 agen...

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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 ...

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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 classic...

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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...

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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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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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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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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 di...

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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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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 lik...

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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 guardr...

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On this episode, we’re joined by Kevin Schawinski, CEO and Co-Founder at Modulos AG

The 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,...

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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 GenA...

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In this episode, we’re joined by Pradeep Javangula, Chief AI Officer at RagaAI

Deploying 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 strategi...

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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 ov...

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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 p...

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