PODCAST · technology
AI Explained
by Fiddler AI
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
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Frontier Labs’ Agents Outgrew Safety Controls With Amit Paka and Joshua Rubin (COO and Head of Data Science at Fiddler)
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...
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Verified Data is the Missing Piece of Agentic Infrastructure With Gary Kotovets (Chief Data & Analytics Officer at Dun & Bradstreet)
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...
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Governing AI That Keeps Evolving With Maryam Ashoori (VP of Product and Engineering at IBM watsonx.governance)
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...
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Why Smarter AI Agents Still Break With Juhi Parekh (GM of Key Frontier AGI Accounts at Turing)
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…
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AI Agents Have an Identity Complex With Jeff Malnick (VP Engineering, Developer and AI at 1Password)
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...
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Lessons from a Physician-CIO on AI Governance with Dr. Stacey Johnston (Chief Information and Digital Execution Officer at Beacon Health System)
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…
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The Agentic Gap: What Enterprises Think vs. What Actually Works With Jeff Dalton (Head of AI and Chief Scientist at Valence)
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,...
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How to Prevent AI Agents from Going Rogue With David Kenny (Executive Chairman at Nielsen)
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,...
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Building Agents at Scale: Lessons from the Front Lines With Gary Stafford (Principal Solutions Architect at AWS Strands Agents)
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...
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Lessons Learned from Building Agentic Systems With Jayeeta Putatunda (Director of AI Center of Excellence at Fitch Group)
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...
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Agent Wars: The Hype, Hope, and Hidden Risks with Nate B. Jones
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...
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AI Observability and Security for Agentic Workflows with Karthik Bharathy (General Manager, AI Ops & Governance for Amazon SageMaker AI at AWS)
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...
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GenAI Use Cases and Challenges in Healthcare with Dr. Girish Nadkarni (Icahn School of Medicine at Mount Sinai)
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...
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GRC in Generative AI with Navrina Singh (Founder and CEO at Credo AI)
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...
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Inference, Guardrails, and Observability for LLMs with Jonathan Cohen (VP of Applied Research at NVIDIA)
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…
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What the EU AI Act Really Means with Kevin Schawinski (CEO and Co-Founder at Modulos AG)
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...
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Productionizing GenAI at Scale with Robert Nishihara (Co-founder and CEO at Anyscale)
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...
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Metrics to Detect Hallucinations with Pradeep Javangula (Chief AI Officer at RagaAI)
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…
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AI Safety and Alignment with Amal Iyer
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…
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Managing the Risks of Generative AI with Kathy Baxter (Principal Architect of Responsible AI & Tech at Salesforce)
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…
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Legal Frontiers of AI with Patrick Hall (Co-Founder and Principal Scientist at BNH.AI)
On this episode, we’re joined by Patrick Hall, Co-Founder of BNH.AI. We will delve into critical aspects of AI, such as model risk management, generating adverse action notices, addressing algorithmic discrimination, ensuring data privacy, fortifying ML security, and implementing advanced model...
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Building Generative AI Applications for Production with Chaoyu Yang (Founder and CEO at BentoML)
On this episode, we’re joined by Chaoyu Yang, Founder and CEO at BentoML. AI-forward enterprises across industries are building generative AI applications to transform their businesses. While AI teams need to consider several factors ranging from ethical and social considerations to overall AI...
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Graph Neural Networks and Generative AI with Jure Leskovec (Professor of Computer Science at Stanford University and Co-founder at Kumo.AI)
On this episode, we’re joined by Jure Leskovec, Stanford professor and co-founder at Kumo.ai. Graph neural networks (GNNs) are gaining popularity in the AI community, helping ML teams build advanced AI applications that provide deep insights to tackle real-world problems. Stanford professor and...
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Machine Learning for High Risk Applications with Parul Pandey (Principal Data Scientist at H2O.ai)
On this episode, we’re joined by Parul Pandey, Principal Data Scientist at H2O.ai and co-author of Machine Learning for High-Risk Applications. Although AI is being widely adopted, it poses several adversarial risks that can be harmful to organizations and users. Listen to this episode to learn…
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AI Safety in Generative AI with Peter Norvig
On this episode, we’re joined by Peter Norvig, a Distinguished Education Fellow at the Stanford Institute for Human-Centered AI and co-author of popular books on AI, including Artificial Intelligence: A Modern Approach and more recently, Data Science in Context. AI has the potential to improve...
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ABOUT THIS SHOW
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
HOSTED BY
Fiddler AI
CATEGORIES
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Frequently Asked Questions
How many episodes does AI Explained have?
AI Explained currently has 25 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is AI Explained about?
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
How often does AI Explained release new episodes?
AI Explained has 25 episodes. Check the episode list to see recent publication dates and frequency.
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You can listen to AI Explained on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts AI Explained?
AI Explained is created and hosted by Fiddler AI.
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