Best Fiddler AI Podcasts (2025)

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Build Trustworthy, Reliable Enterprise Data Systems in the Age of AI w/ Jay Sivasamy from Workday 37:01

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18h ago37:01

37:01

🚀 Data Forward: Building Reliable Data Systems in the Age of AI In this episode, Joe Murphy, Principal Architect at Acceldata sits down with Jay Sivasamy, Principal, Enterprise Data & AI at Workday to explore how enterprises can build trustworthy, reliable data systems in today’s AI-driven world. They dive into: 🔹 Evolving Frameworks: From ETL scri…

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The Anatomy of Agentic Observability 16:28

1M ago16:28

16:28

As AI evolves from single agents into complex, multi-agent systems, the challenge of monitoring and trusting these autonomous collaborators grows. Traditional monitoring tools fall short, unable to interpret the dynamic, unpredictable nature of AI decision-making. This discussion explores "Agentic Observability," a new approach built to provide dee…

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AI Readiness Uncovered: Key Insights from the AI Benchmark Report 31:16

2M ago31:16

31:16

In this episode of Data Forward, host Amy Kyleen Lute talks with Mahesh Kumar, CMO at Acceldata, about the findings of the new AI Readiness Benchmark Report - based on responses from 150+ data leaders at large enterprises. Mahesh shares why AI readiness is critical, how organizations can measure their preparedness, and the risks when data foundatio…

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Building Agents at Scale: Lessons from the Front Lines With Gary Stafford 58:14

2M ago58:14

58:14

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 enter…

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Building Trusted, AI-Ready Data with Fusable 34:44

3M ago34:44

34:44

In this episode of Data Forward, Ramon Chen, CPO of Acceldata talks with Matthew Cox, CDO at Fusable, about turning data into a true enterprise asset. They cover how Fusable unifies siloed data, ensures trust and quality with observability and lineage, and prepares for the next wave of AI innovation. Key Takeaways -Unify Data to Unlock Insights – H…

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AI + Data Observability: Building Trust in the Agentic Age with Will Pong from Fiddler 33:57

3M ago33:57

33:57

By Acceldata

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Lessons Learned from Building Agentic Systems With Jayeeta Putatunda 46:53

4M ago46:53

46:53

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 ensuri…

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AMA with the World’s Foremost Data Platform Expert Chandrakant Sharma 57:31

4M ago57:31

57:31

In this special episode of Data Forward, Vivek Singh sits down with Chandrakant “Chandra” Sharma — Acceldata’s Global Field CTO and VP of Field Engineering — for a candid, practical conversation on how the world’s largest enterprises are modernizing their data platforms. Chandra shares proven, real-world strategies for: Simplifying complex, fragmen…

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Agentic Observability: The AI Architect's Essential Blueprint 13:39

4M ago13:39

13:39

In this episode of Safe and Sound AI, we dive into the challenge of moving AI agents from impressive demos to robust, production-ready systems. We break down the principles of Agentic Observability, explaining how this essential "blueprint" provides the clarity needed to overcome the "black box" problem during both development and production. Learn…

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Agent Wars: The Hype, Hope, and Hidden Risks with Nate B. Jones 56:06

4M ago56:06

56:06

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 th…

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The Future of Data with Dan Power VP Data Governance at Raymond James 39:31

5M ago39:31

39:31

In this episode, Ramon Chen sits down with industry veteran Dan Power to explore the evolution of data governance, quality, and management in the age of AI. From foundational lessons at Dun & Bradstreet to regulatory pressures in financial services, Dan shares what it takes to build trusted, scalable data practices—and where AI fits into the pictur…

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Get Data-Ready for Agentic AI with Supratibh Srivastava from AWS 26:09

5M ago26:09

26:09

What does it actually take to prepare your enterprise data for the next wave of Agentic AI? In this special episode recorded live at Autonomous 25, Acceldata’s product marketing leader, Sonam Jain talks with Supratibh Srivastava, Principal Sales for ML Startups at AWS, about how companies are building a strong foundation for GenAI and agentic syste…

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Inside The Cloud Wars: Future of Tech, Data, and AI with Bob Evans Co-Founder of Cloud and AI Wars 24:07

6M ago24:07

24:07

In this episode of Data Forward, Acceldata CPO Ramon Chen chats with Bob Evans, founder of Cloud Wars, about how cloud giants are shifting from product-focused strategies to customer-led innovation. They explore the evolving role of data, AI, and cross-cloud partnerships—and what it means for the future of enterprise tech.…

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How to Identify ML Drift Before You Have a Problem 9:14

6M ago9:14

9:14

In this episode of Safe and Sound AI, we dive into the challenge of drift in machine learning models. We break down the key differences between concept and data drift (including feature and label drift), explaining how each affects ML model performance over time. Learn practical detection methods using statistical tools, discover how to identify ro…

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Accenture’s Vision for Data Management in the AI Era with Managing Director Adnan Khan 45:30

6M ago45:30

45:30

In this episode of Data Forward, Ashwin Rajeev (CTO & Co-Founder, Acceldata) talks with Adnan Khan, Managing Director of Data & AI Services (EMEA) at Accenture, about modernizing enterprise data in the age of AI. Adnan shares insights from 20+ years at Accenture—exploring how regulated industries, legacy systems, and organizational culture shape in…

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Proactive Data Quality, AI Readiness & Trust: A CDO’s Guide to Enterprise Data Transformation With Tarik El Mansouri 23:22

7M ago23:22

23:22

In this episode of Data Forward, Chief Product Officer Raman Chen sits down with Tarik El Mansouri, a seasoned Chief Data Officer and digital transformation leader, to explore what it takes to build trustworthy, AI-ready data foundations in today’s enterprise. From coining the term "Proactive Data Quality" to championing Master Data Management and …

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Building Data Fabrics & Data Products with Kaycee Lai of Promethium 35:50

8M ago35:50

35:50

In this episode, Kaycee Lai, Founder of Promethium, joins host Ramon to discuss building data fabrics and products. They explore challenges in creating Instant Data Fabrics, with examples from National Grid, Quest Diagnostics, and Comcast. The conversation covers the synergy between Data Observability and data fabrics, plus best practices for start…

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Industry’s Fastest Guardrails Now Native to NVIDIA NeMo 10:14

8M ago10:14

10:14

In this episode, we discuss the new integration between Fiddler Guardrails with NVIDIA Nemo Guardrails, pairing the industry's fastest guardrails with your secure environment. We explore the setup process, practical implications, and the role of the Fiddler Trust Service in providing guardrails, monitoring and custom metrics. Plus, we highlight the…

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AI Observability and Security for Agentic Workflows with Karthik Bharathy 44:01

9M ago44:01

44:01

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 t…

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Reimagining Data Management In The AI Era With Prakul Sharma From Deloitte Consulting 28:26

9M ago28:26

28:26

In this episode of Data Forward, Rohit and Prakul Sharma, a partner at Deloitte leading the data and AI practice, discuss the evolving role of AI in data management and governance. The conversation explores how AI is reshaping data strategies, from enhancing data governance to enabling more seamless integrations and automations. Prakul also shares …

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Engineering The Future: AI, Cloud, and Data Productivity With Acceldata Founders 30:59

9M ago30:59

30:59

In this episode of Data Forward, Acceldata’s co-founders, Rohit Choudhary (CEO), Ashwin Rajeev (CTO), and Raghu Mitra (VP of Engineering), discuss how AI and cloud transformation have reshaped engineering. They highlight how these shifts boost productivity, streamline software development, and evolve the role of engineers in driving success. 3 Key …

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GenAI Use Cases and Challenges in Healthcare with Dr. Girish Nadkarni 39:47

9M ago39:47

39:47

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 ethica…

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Introducing Fiddler Guardrails: The Fastest in the Industry 7:20

9M ago7:20

7:20

In this episode, we explore how Fiddler Guardrails helps organizations keep large language models (LLMs) on track by moderating prompts and responses before they can cause damage. We break down its industry best latency, secure deployment options, and how it works with Fiddler’s AI observability platform to provide the visibility and control to ada…

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Modernizing Operational Data Quality With Gabriel Charvat VP Of Data Quality Insights 28:41

10M ago28:41

28:41

In this episode Gabriel Charvat, VP Data Quality Insights explores how Dun & Bradstreet, the ultimate data products company, is modernizing operational data quality. He provides tips on best practices and how they have leveraged innovative technologies like Data Observability to replace legacy tools.Taking data quality to the next level by shifting…

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Should you Observe ML Metrics or Inferences? 12:51

10M ago12:51

12:51

In this episode, we explore two key approaches for monitoring AI models: metrics and inference observation. We break down their trade-offs and provide real-world examples from various industries to illustrate the advantages of each model monitoring strategy for driving responsible AI development. Read the article by Fiddler AI and explore additiona…

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Get Your Data AI-Ready With Merv Adrian From BARC & IT Market Strategy 29:23

10M ago29:23

29:23

Merv Adrian, former Gartner analyst, BARC Fellow and CEO of IT Market Strategy joins Data Forward to discuss how organizations can prepare their data for AI innovation. Drawing on insights from a comprehensive survey of 335 AI leaders, Merv shares what distinguishes "High Readiness" companies, the critical role of data observability in ensuring tru…

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Data Management Architectures with Ashwin Rajeeva, Co-founder & CTO Acceldata 22:36

11M ago22:36

22:36

This episode dives into the future of data management, exploring next-gen architectures, cloud-native vs hybrid strategies, the role of data observability, and AI integration. We discuss how enterprises can effectively manage unstructured data, prepare for evolving architectures, and navigate the challenges of modern data systems.…

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Data Management Done Right with Malcom Hawker from Profisee - Data Forward Podcast 30:59

11M ago30:59

30:59

In this Data Forward episode, we dive into the visionary insights of Malcolm Hawker, Chief Data Officer at Profisee and host of the popular CDO Matters podcast. Malcolm shares his transformative ideas on data management, including a fresh take on building customer-centric data organizations, stressing the importance of bold structural changes and t…

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The Future of Data with Ray Wang from Constellation Research - Data Forward Podcast 16:50

12M ago16:50

16:50

Industry luminary Ray Wang joins Data Forward to discuss how the breathtaking evolution in technology and innovation is impacting data management and AI.By Acceldata

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Tracking Drift to Monitor LLM Performance 11:50

12M ago11:50

11:50

In this episode, we discuss how to monitor the performance of Large Language Models (LLMs) in production environments. We explore common enterprise approaches to LLM deployment and evaluate the importance of monitoring for LLM quality or the quality of LLM responses over time. We discuss strategies for "drift monitoring" — tracking changes in both …

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Rohit Choudhary on Transforming Data Challenges into Opportunities 20:13

12M ago20:13

20:13

Join the Data Forward podcast for a deep dive into the world of enterprise data and AI. Hosted by Amy Kyleen, Chief of Staff at Excel Data, and featuring CEO Rohit Choudhary, this episode unpacks the latest trends in data management, including AI readiness, cloud transformation, and the evolving role of Chief Data Officers. Learn why structured dat…

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GRC in Generative AI with Navrina Singh 56:43

12M ago56:43

56:43

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…

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Inference, Guardrails, and Observability for LLMs with Jonathan Cohen 53:10

1y ago53:10

53:10

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 …

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What the EU AI Act Really Means with Kevin Schawinski 45:47

1y ago45:47

45:47

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…

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Productionizing GenAI at Scale with Robert Nishihara 48:29

1+ y ago48:29

48:29

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 evolv…

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Metrics to Detect Hallucinations with Pradeep Javangula 58:39

1+ y ago58:39

58:39

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 v…

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AI Safety and Alignment with Amal Iyer 57:17

1+ y ago57:17

57:17

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…

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Managing the Risks of Generative AI with Kathy Baxter 57:21

2y ago57:21

57:21

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…

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Legal Frontiers of AI with Patrick Hall 58:49

2y ago58:49

58:49

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 governance and explainability.…

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Building Generative AI Applications for Production with Chaoyu Yang 59:07

2y ago59:07

59:07

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 strategy, technical challenges remain to deploy these a…

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Graph Neural Networks and Generative AI with Jure Leskovec 52:05

2+ y ago52:05

52:05

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 co-founder at Kumo.AI, Jure Leskovec, whose work is at…

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Machine Learning for High Risk Applications with Parul Pandey 54:40

2+ y ago54:40

54:40

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 how data scientists and ML practitioners can improve A…

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AI Safety in Generative AI with Peter Norvig 39:58

2+ y ago39:58

39:58

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 humanity’s quality of life and day-to-day decisions. Ho…