أفضل بودكاسات Data Management (2025)

1
SAP's Antitrust Scrutiny, AI Copyright Clash, Databricks-OpenAI Deal, and Salesforce Security 6:58

5d ago6:58

6:58

In this episode, we delve into several key developments at the intersection of technology, business, and regulation: 1. **SAP Under EU Scrutiny**: SAP faces antitrust concerns from the European Commission over its ERP software practices, potentially impacting competition and customer costs. Despite SAP's confidence in compliance, the investigation …

1
179 - Foundational UX principles for data and AI product managers 51:01

6d ago51:01

51:01

Content coming soon.بقلم Brian T. O’Neill from Designing for Analytics

1
Building Trusted, AI-Ready Data with Fusable 34:44

18d 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…

1
4#20 - Sune Selsbæk-Reitz - Promptism and the Dangerous Illusion of AI Truth (Eng) 38:22

21d ago38:22

38:22

«We need source criticism more then ever now.» In the season finale of MetaDAMA, we dive deep into the intersection of philosophy, history, and artificial intelligence with guest Sune Selsbæk-Reitz, tech philosopher with a background in both history and philosophy. Sune introduces the provocative concept of “Promptism”, which is our era’s version o…

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178 - Designing Human-Friendly AI Tech in a World Moving Too Fast with Author and Speaker Kate O’Neill 50:10

20d ago50:10

50:10

In this episode, I sat down with tech humanist Kate O’Neill to explore how organizations can balance human-centered design in a time when everyone is racing to find ways to leverage AI in their businesses. Kate introduced her “Now–Next Continuum,” a framework that distinguishes digital transformation (catching up) from true innovation (looking ahea…

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177 - Designing Effective Commercial AI Data Products for the Cold Chain with the CEO of Paxafe 49:20

1M ago49:20

49:20

In this episode, I talk with Ilya Preston, co-founder and CEO of PAXAFE, a logistics orchestration and decision intelligence platform for temperature-controlled supply chains (aka “cold chain”). Ilya explains how PAXAFE helps companies shipping sensitive products, like pharmaceuticals, vaccines, food, and produce, by delivering end-to-end visibilit…

1
4#19 - Bjørn Broum - Data Strategy at Statens Veivesen (Nor) 44:34

1M ago44:34

44:34

«Hvis folk tror at data faget er forskjellig mellom industrier så er det ikke det. Data er Data. Forretningskunnskapen er forskjellig. / If people think data work is different across industries, it isn’t. Data is data. Business knowledge is what changes.» In this episode of MetaDAMA, we dive into the data strategy of Statens Vegvesen with Bjørn Bro…

1
AI + Data Observability: Building Trust in the Agentic Age with Will Pong from Fiddler 33:57

1M ago33:57

33:57

بقلم Acceldata

1
4#18 - Mikkel Dengsøe - Scaling Data Teams (Eng) 41:00

1M ago41:00

41:00

«A lot of things break with scale.» In our latest conversation with Mikkel Dengsøe, co-founder of SYNQ and former Head of Data, Ops and Financial Crimes at Monzo Bank, we explore the secrets behind effective scaling of data teams. Mikkel reveals surprising statistics based on his analysis of over 10,000 LinkedIn data points and valuable insights fr…

1
176 - (Part 2) The MIRRR UX Framework for Designing Trustworthy Agentic AI Applications 29:52

2M ago29:52

29:52

This is part two of the framework; if you missed part one, head to episode 175 and start there so you're all caught up. In this episode of Experiencing Data, I continue my deep dive into the MIRRR UX Framework for designing trustworthy agentic AI applications. Building on Part 1’s “Monitor” and “Interrupt,” I unpack the three R’s: Redirect, Rerun, …

1
4#17 - Robert Børlum Bach - Data Management Maturity and Media (Eng) 43:12

2M ago43:12

43:12

«It can’t be a centralized team. That is too dangerous, because you don’t know the business domain.» A deep dive into the complex balance between data, ethics, and commercial operations in a modern media organizations. Robert Børlum-Bach from JP/Politikens Hus takes us on a fascinating journey through the media industry's data landscape, where AI i…

1
AMA with the World’s Foremost Data Platform Expert Chandrakant Sharma 57:31

2M 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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175 - The MIRRR UX Framework for Designing Trustworthy Agentic AI Applications (Part 1) 28:51

2M ago28:51

28:51

In this episode of Experiencing Data, I introduce part 1 of my new MIRRR UX framework for designing trustworthy agentic AI applications—you know, the kind that might actually get used and have the opportunity to create the desired business value everyone seeks! One of the biggest challenges with both traditional analytics, ML, and now, LLM-driven A…

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174 - Why AI Adoption Moves at the Speed of User Trust Irina Malkova on Lessons Learned Building Data Products at Salesforce 47:50

3M ago47:50

47:50

In this episode of Experiencing Data, I chat with Irina Malkova who is the VP of AI Engineering and VP of Data and Analytics for Tech and Product at Salesforce. Irina shares how her teams are reinventing internal analytics, combining classic product data work with cutting-edge AI engineering—and her recent post on LinkedIn titled “AI adoption moves…

1
The Future of Data with Dan Power VP Data Governance at Raymond James 39:31

3M 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…

1
173 - Pendo’s CEO on Monetizing an Analytics SAAS Product, Avoiding Dashboard Fatigue, and How AI is Changing Product Work 43:49

3M ago43:49

43:49

Todd Olson joins me to talk about making analytics worth paying for and relevant in the age of AI. The CEO of Pendo, an analytics SAAS company, Todd shares how the company evolved to support a wider audience by simplifying dashboards, removing user roadblocks, and leveraging AI to both generate and explain insights. We also talked about the roles o…

1
Get Data-Ready for Agentic AI with Supratibh Srivastava from AWS 26:09

3M 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…

1
172 - Building AI Assistants, Not Autopilots: What Tony Zhang’s Research Shows About Automation Blindness 44:24

3M ago44:24

44:24

Today on the podcast, I interview AI researcher Tony Zhang about some of his recent findings about the effects that fully automated AI has on user decision-making. Tony shares lessons from his recent research study comparing typical recommendation AIs with a “forward-reasoning” approach that nudges users to contribute their own reasoning with proce…

1
4#16 - Audun Fauchald Strand - Alignment in the Age of Autonomy (Nor) 47:17

4M ago47:17

47:17

«Det at det er en team sport; det tror jeg er i hvert fall noe data verden kan lære av (software development). / The fact that it’s a team sport; that’s definitely something the data world can learn from software development.» Software development is ahead of the data world in many ways, but what can we learn from its methods? Audun Fauchald Strand…

1
Inside The Cloud Wars: Future of Tech, Data, and AI with Bob Evans Co-Founder of Cloud and AI Wars 24:07

4M 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.…

1
171 - Who Can Succeed in a Data or AI Product Management Role? 50:04

4M ago50:04

50:04

Today, I’m responding to a listener's question about what it takes to succeed as a data or AI product manager, especially if you’re coming from roles like design/BI/data visualization, data science/engineering, or traditional software product management. This reader correctly observed that most of my content “seems more targeted at senior leadershi…

1
Accenture’s Vision for Data Management in the AI Era with Managing Director Adnan Khan 45:30

4M 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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170 - Turning Data into Impactful AI Products at Experian: Lessons from North American Chief AI Officer Shri Santhnam (Promoted Episode) 42:33

4M ago42:33

42:33

Today, I'm chatting with Shri Santhanam, the EVP of Software Platforms and Chief AI Officer of Experian North America. Over the course of this promoted episode, you’re going to hear us talk about what it takes to build useful consumer and B2B AI products. Shri explains how Experian structures their AI product teams, the company’s approach prioriti…

1
4#15 - Säde Haveri - The Data Governance Framework (Eng) 45:30

4M ago45:30

45:30

«I consider this Data Governance as a cure. (…) Data Governance can make things better.» In this clarifying conversation, Finnish data expert Säde Haveri shares her 18 years of experience and introduces a practical framework consisting of five key elements that can guide any organization's data governance journey. Säde, who is a Data Governance Man…

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169 - AI Product Management and UX: What’s New (If Anything) About Making Valuable LLM-Powered Products with Stuart Winter-Tear 1:01:05

5M ago1:01:05

1:01:05

Today, I'm chatting with Stuart Winter-Tear about AI product management. We're getting into the nitty-gritty of what it takes to build and launch LLM-powered products for the commercial market that actually produce value. Among other things in this rich conversation, Stuart surprised me with the level of importance he believes UX has in making LLM-…

1
4#14 - Rasmus Bang - Data Governance - Simple and Relevant (Eng) 46:59

5M ago46:59

46:59

«Sometimes it feels like you have CIOs going on Julia Robe’s in Pretty Woman spending sprees.» Have you ever wondered why data governance often becomes so complicated that no one really understands what it’s about? In this episode, we take a refreshing deep dive with data expert Rasmus Bang, who shows how to make data governance simple and relevant…

1
Proactive Data Quality, AI Readiness & Trust: A CDO’s Guide to Enterprise Data Transformation With Tarik El Mansouri 23:22

5M 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 …

1
168 - 10 Challenges Internal Data Teams May Face Building Their First Revenue-Generating Data Product 38:24

5M ago38:24

38:24

Today, I am going to share some of the biggest challenges internal enterprise data leaders may face when creating their first revenue-generating data product. If your team is thinking about directly monetizing a data product and bringing a piece of software to life as something customers actually pay for, this episode is for you. As a companion to …

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167 - AI Product Management and Design: How Natalia Andreyeva and Team at Infor Nexus Create B2B Data Products that Customers Value 37:34

6M ago37:34

37:34

Today, I’m talking with Natalia Andreyeva from Infor about AI / ML product management and its application to supply chain software. Natalia is a Senior Director of Product Management for the Nexus AI / ML Solution Portfolio, and she walks us through what is new, and what is not, about designing AI capabilities in B2B software. We also got into why …

1
4#13 - Juha Korpela - Data Consulting and the Role of Data Modeling (Eng) 43:40

6M ago43:40

43:40

«You bring in the knowledge of what works in real life and what doesn’t. That is actually what you are being paid for.» With a year behind him as a solo entrepreneur in his own company, Datakor Consulting, Juha Korpela takes us on a journey through fact-finding-missions at what he calls "the middle layer" of organizations — the strategic area betwe…

1
Building Data Fabrics & Data Products with Kaycee Lai of Promethium 35:50

6M 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…

1
166 - Can UX Quality Metrics Increase Your Data Product's Business Value and Adoption? 26:12

6M ago26:12

26:12

Today I am going to try to answer a fundamental question: how should you actually measure user experience, especially with data products—and tie this to business value? It's easy to get lost in analytics and think we're seeing the whole picture, but I argue that this is far from the truth. Product leaders need to understand the subjective experienc…

1
4#12 - Gry Hasselbalch - The Ethics of AI and Data - Human at the Center (Dan) 51:40

7M ago51:40

51:40

"Dataetik handler også om den måde, vi opfatter brugeren og mennesket, vores demokrati og vores samfund på." / "Data ethics is also about how we perceive the user and the human being, our democracy, and our society." In this episode, we dive into the complexities of data ethics with Gry Hasselbalch, a leading expert on the topic. With experience sh…

1
Reimagining Data Management In The AI Era With Prakul Sharma From Deloitte Consulting 28:26

7M 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 …

1
165 - How to Accommodate Multiple User Types and Needs in B2B Analytics and AI Products When You Lack UX Resources 49:04

7M ago49:04

49:04

A challenge I frequently hear about from subscribers to my insights mailing list is how to design B2B data products for multiple user types with differing needs. From dashboards to custom apps and commercial analytics / AI products, data product teams often struggle to create a single solution that meets the diverse needs of technical and business …

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