Catalog & Cocktails: The Honest, No-BS Data Podcast
Alle afleveringen
100 afleveringen, van nieuw naar oud
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How data teams become trusted business partners with Nick Zervoudis
24 oktober 2026 · 51 min
Nick Zervoudis, data product manager, trainer, and consultant at Value from Data & AI, joins Juan and Time to talk about why many data teams end up working like a service desk and what to do about it. The answer is: DO DISCOVERY! In this conversation, we cover how a service desk model breaks down when a request can’t be described in a few words, why dashboards get opened once and then forgotten, and how product thinking differs from project management in data work. We also discuss how to start doing discovery without a full transformation, and what AI does and doesn’t change about that work. Lees meer
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TAKEAWAY How data teams become trusted business partners with Nick Zervoudis
24 oktober 2026 · 7 min
This is the takeaway episode with Nick Zervoudis, data product manager, trainer, and consultant at Value from Data & AI, joins Juan and Time to talk about why many data teams end up working like a service desk and what to do about it. The answer is: DO DISCOVERY! Lees meer
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Game Changers: The Talent Imperative for the AI Era with Mohammed Aaser
16 oktober 2026 · 51 min
Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo, recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems. Lees meer
In this episode, Mohammed lays out a framework for talent in the AI era. Automation is already taking over the known, repeatable work. What remains is the unknown, and that takes people who keep learning and who take initiative. The framework plots people on two dimensions, learning and drive. You have Doers, Philosophers, Commanders, Hackers, Strategist, Innovators, Game changers and more. Topics discussed
Automation and the innovation engine
The known versus the unknown
Two dimensions of talent
The talent quadrants
The multiplier effect
Commanders and scaling
Environments that don’t build initiative
Rarity of high-potential people
Investing in human potential
The human mind as the limit
Critical thinking through discomfort
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TAKEAWAY Game Changers: The Talent Imperative for the AI Era with Mohammed Aaser
16 oktober 2026 · 5 min
This is the takeaway episode with Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo. He recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems. Lees meer
See omnystudio.com/listener for privacy information.
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Preserve Executive Trust by Protecting Your Judgement with Dora Boussias
9 oktober 2026 · 43 min
How do leaders preserve executive trust and credibility? Dora Boussias, executive advisor and former data executive returns to the podcast to unpack this question. Her answer: protect your judgement. Lees meer
In this episode, Dora presents the trust equation that most leaders grew up with: expertise + track record + judgment. Dora’s point is that the equation still holds, but each part now means something different. Nobody will out-know AI, so expertise is less about what you know and more about asking the right questions and challenging assumptions. A track record is harder to read when you can’t tell whether a good result came from you or from the model. Judgment carries the most weight now, and it’s the part leaders are most likely to hand off without noticing. Topics discussed:
Trust equation under AI
Expertise is changing
Track record is harder to read
Judgment carries the most weight
Decision fog
Speed isn’t everything
Ford’s rehiring of experienced engineers
Business fundamentals matter more
Alignment and accountability are cross-functional
Real value is “so what”
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TAKEAWAY Preserve Executive Trust by Protecting Your Judgement with Dora Boussias
9 oktober 2026 · 7 min
This is the takeaway episode with Dora Boussias, executive advisor and former data executive. We unpack the question "How do leaders preserve executive trust and credibility?" Her answer: protect your judgement. In this episode, Dora presents the trust equation that most leaders grew up with: expertise + track record + judgment. Don't miss it! Lees meer
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Agents are taking over data! So what comes next? with Tristan Handy
1 oktober 2026 · 52 min
Agents will build data infrastructure at every layer and become its primary consumers. Tristan Handy, President and Co-founder of Fivetran / dbt Labs joins Juan and Tim where we unpack the big shift that is happening: teams need to move from working in the process (picking up individual tickets) to working on the process (building the factories that handle those tickets). In this episode, we break down what this means for data roles, why open components matter more than vendor stacks, and the socio-political problem nobody's talking about, deciding what counts as truth so your agents (and humans) ask the right questions in the first place. Topics discussed: Lees meer
Agents as builders and consumers
Data roles are collapsing
From working IN to working ON
Loop building as the competitive advantage
Business understanding beats technical specs
From humans in the loop to humans out of the loop
Open components over vendor stacks
Defining truth is a political problem
Data observability becomes business observability
Real-time becomes necessary
Humans delegate outcomes, set goals, sit in control
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TAKEAWAY - Agents are taking over data! So what comes next? with Tristan Handy
1 oktober 2026 · 6 min
This is the takeaway episode with Tristan Handy, President and Co-founder of Fivetran / dbt Labs where he joins Juan and Tim to discuss how agents will build data infrastructure at every layer and become its primary consumers. We unpack the big shift that is happening: teams need to move from working in the process to working on the process, what this means for data roles, why open components matter more than vendor stacks, and the socio-political problem nobody's talking about, deciding what counts as truth so your agents (and humans) ask the right questions in the first place. Lees meer
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AI Inherits the Business Choices You Never Made with David Krauza
25 september 2026 · 50 min
AI doesn't create your problems. It inherits the business choices you never made and the results nobody owns. David Krauza, VP of Data Strategy and Governance at Comcast, joins Juan and Tim to make the case that most "data problems" aren't data problems at all. They are accountability problems, definition problems, assumption problems, and what-are-we-even-measuring problems. The fix isn't better tooling. Data teams are so focused on delivery that they never stop to ask what the business is actually trying to do. It's going to the C-suite, asking about the top three goals, and following the definitions until the cracks show up. Topics discussed: Lees meer
AI inherits your unmade decisions
The output trap
Definitions are the real foundation
Talk to the business
Data as a cost center vs. a value driver
Single source of data, multiple versions of the truth
Think like a product owner
The revenge of the liberal arts majors
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TAKEAWAY - AI Inherits the Business Choices You Never Made with David Krauza
25 september 2026 · 6 min
This is the takeaway episode with David Krauza, VP of Data Strategy and Governance at Comcast who makes the case that AI doesn't create your problems, it inherits the business choices you never made and the results nobody owns. David joins Juan and Tim and discuss the accountability problems, definition problems, assumption problems, and what-are-we-even-measuring problems. Lees meer
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Harvest Now, Decrypt Later: Why Quantum Is Already a Data Problem with John Licata
16 september 2026 · 48 min
Most quantum conversations are stuck on the timeline question: five years out? Two? Q-Day, the day current RSA encryption breaks, keeps getting pulled forward. But the actual risk to your data is already here. Adversaries are harvesting encrypted data today to decrypt it once quantum gets there. That makes this a data management problem right now. Lees meer
John Licata, ServiceNow's futures director and quantum lead joins Juan and Tim, to unpack what this actually means for enterprise data teams. They get into where quantum computing does things classical AI genuinely can't do well: drug discovery, supply chain simulation, personalized medicine, where the quantum + AI combination changes everything, and who even owns quantum strategy? CISO? COOs? But the real argument is on the business value topic, not just focusing on risk mitigation which is where the real argument lives right now.
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TAKEAWAY - Harvest Now, Decrypt Later: Why Quantum Is Already a Data Problem with John Licata
16 september 2026 · 6 min
This is the takeaway episode with John Licata, ServiceNow's futures director and quantum lead where Juan and Tim unpack what quantum means for enterprise data teams.They get into where quantum computing does things classical AI genuinely can't do well: drug discovery, supply chain simulation, personalized medicine, where the quantum + AI combination changes everything, and who even owns quantum strategy? CISO? COOs? But the real argument is on the business value topic, not just focusing on risk mitigation which is where the real argument lives right now. Lees meer
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Why Data Teams Fail and Succeed with Shachar Meir
9 september 2026 · 49 min
Shachar MEIR has spent 20 years fixing data teams and understanding why they fail. In this live episode, Shachar joins Juan and Tim to discuss the reason why they fail and what they should be doing in order to succeed. Lees meer
Shachar argues that data leaders default to what they can control (cough cough technology_ and underinvest in people, process, and culture. A new CDO comes in, migrates legacy databases to a cloud data platform, and two years later you have the same problems on a better platform.
We get into what's actually missing: building trust in data (which takes time and breaks fast), creating incentives so people actually use what data teams build, and spending real time in the business which is not asking what dashboards they need, but what problems they have.
Topics discussed:
Technology is not why data teams fail
Why data leaders default to technology
People, process and CULTURE
Data trust
Incentives
Understanding the business
Dashboard bloat
Self-service analytics
Dashboards aren't dead
What CDOs do well and what they miss
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TAKEAWAY - Why Data Teams Fail and Succeed with Shachar Meir
9 september 2026 · 8 min
This is the takeaway episode with Shachar Meir, who has spent 20 years fixing data teams and understanding why they fail. In this live episode, Shachar joins Juan and Tim to discuss the reason why they fail and what they should be doing in order to succeed. Lees meer
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Intelligence Without Action Is Just Overhead with Patrick McGarry
3 september 2026 · 39 min
Patrick McGarry, Federal CDO at ServiceNow and author of The Adaptive Organization, has spent years watching organizations accumulate data and tools but fail to convert them into decisions. Overhead grows. Outcomes don't. Hence “Intelligence Without Action Is Just Overhead.” Patrick joins Juan and Tim to walk through why federal data programs stall (the idea-to-deployment lag is long enough that the tech moves on), why incentives matter more than mandates, and why the right question should not be "how do we get AI ready" and instead should be "how do we make our organization accountable for AI." Lees meer
Topics discussed:
Intelligence vs. action
Ownership and outcomes
Federal government's speed problem
The CATALOG framework: Culture & Talent, Analytics & AI, Technology & Architecture, Alignment, Leadership & Governance, Operations & Delivery, Growth & Measurement.
Governance as clarity, not bureaucracy
Open standards, vendor lock-in, semantics, interoperability
Regulatory standards as a double-edged sword
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TAKEAWAY Intelligence Without Action Is Just Overhead with Patrick McGarry
3 september 2026 · 6 min
This is the takeaway episode with Patrick McGarry, Federal CDO at ServiceNow and author of The Adaptive Organization, who has spent years watching organizations accumulate data and tools but fail to convert them into decisions. Overhead grows. Outcomes don't. Hence “Intelligence Without Action Is Just Overhead.” Lees meer
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Data Products Done Right: Lessons from Capital One's Journey at Scale with Bethany Sehon
26 augustus 2026 · 44 min
Most companies slapping the "data product" label on existing data assets are fooling themselves. Bethany Sehon, Enterprise Data Leader at Capital One, has been building data products and ontologies in production long before they became buzzwords. Bethany joins Juan and Tim to share lessons learned: dedicated data product managers (not side-of-desk), ontologists treated as first-class citizens, a VP-accountable governance process, and much more. Lees meer
Topics discussed:
Data products as a discipline, not a label
Governance process as the forcing function
Dedicated roles, not side-of-desk work
Ontology as a strategic function
Standardization is necessary but not sufficient
Less is more on scope
Trust is consumer-specific
AI expands what counts as a data product
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TAKEAWAY - Data Products Done Right: Lessons from Capital One's Journey at Scale with Bethany Sehon
26 augustus 2026 · 7 min
This is the takeaway episode with Bethany Sehon, Enterprise Data Leader at Capital One where she share lessons learned of building data products and ontologies in production long before they became buzzwords: dedicated data product managers (not side-of-desk), ontologists treated as first-class citizens, a VP-accountable governance process, and much more. Lees meer
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Honest No-BS Data Podcast 7th Year and Season 12 Kick Off
19 augustus 2026 · 48 min
This is the start of our 7th year of doing the podcast. Juan and Tim kick off the 12th season sharing who are the upcoming guests and what's the latest on their mind about this crazy data and AI world: Lees meer
The new website (honestnobsdata.com) and discussed building a knowledge graph of the podcast itself
Two types of semantics: for AI context vs. for system interoperability
The vendor hype gap vs. practitioner reality
AI agent proliferation and the governance surface area explosion
AI cybersecurity: models escaping their sandboxes
The economics of AI: accuracy, latency, and token cost as the new CAP theorem
The great convergence, "triangle of consolidation" and “postmodern data stack”
OSI and Apache Nessie
Work as the center of gravity
Bridging the operational and analytics worlds
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6th YEAR SEASON FINALE: Juan and Tim Rant
29 mei 2026 · 35 min
Can't believe it's already been 6 years. Thank you to our amazing guests and specially our listeners. In this season finale episode, Juan and Tim rant about the honest no-bs discussions they've had in 2026 and what are the topics they are looking forward to cover in the next season. Lees meer
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Pragmatic Use-Case-Driven Data Governance with Jason Doerr
20 mei 2026 · 43 min
Jason Doerr has spent years watching governance programs undermine themselves by cataloging everything without a use case, naming data stewards who have nothing to actually do, and building central teams that become blockers instead of enablers. In this episode, he walks through what pragmatic governance actually looks like: start with use cases, give stewards real work to action on, and let the central team set principles rather than police behavior. He also digs into PADU (Preferred, Acceptable, Discouraged, Unacceptable) as a practical roadmap framework, how LLMs can accelerate semantic layer creation without generating vanity metrics, and why the governance operating model is shifting toward agentic management ... whether the governance community is ready for it or not. Lees meer
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TAKEAWAY - Pragmatic Use-Case-Driven Data Governance with Jason Doerr
20 mei 2026 · 6 min
This is the takeaway episode with Jason Doerr who has spent years watching governance programs undermine themselves. He walks through what pragmatic governance actually looks like and digs into PADU (Preferred, Acceptable, Discouraged, Unacceptable) as a practical roadmap framework. Lees meer
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Data Catalyst³: Governance × Change Management × Data Fluency w/ Bob Seiner
16 mei 2026 · 49 min
Bob Seiner has spent decades in data governance, and in this episode he joins Juan and Tim to unpacks his new framework, Data Catalyst Cubed, which multiplies data governance by change management and data fluency. Miss any one of them, and you get zero. The problem is that leadership has never treated behavior change as part of the governance mandate, and most data programs have never connected with the change management expertise that already exists inside their organizations. Lees meer
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TAKEAWAY - Data Catalyst³: Governance × Change Management × Data Fluency w/ Bob Seiner
16 mei 2026 · 5 min
Takeaway episode with Bob Seiner where he unpacks his new framework, Data Catalyst Cubed: multiplies data governance by change management and data fluency. Miss any one of them, and you get zero. Lees meer
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AI Governance Isn't Compliance. It's About Humans with Victoria Gamerman
7 mei 2026 · 41 min
Most organizations are treating AI governance as a compliance checkbox. Victoria Gamerman argues it's the gateway that finally forces organizations to confront the human side of AI adoption. In this episode, Victoria breaks down why the POC-to-operationalization gap is so hard to close, why people, process, and data each carry more human weight than most leaders acknowledge, and what "AI-ready data" actually means and a reminder that AI isn't a technology problem. It never was. Lees meer
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TAKEAWAY - AI Governance Isn't Compliance. It's About Humans with Victoria GamermaN
7 mei 2026 · 6 min
This is the takeaway episode with Victoria Gamerman who argues that AI Governance is the gateway that finally forces organizations to confront the human side of AI adoption. Lees meer
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AI Appetite Is Easy, Digestion Is Hard with Diana Wu David
2 mei 2026 · 54 min
Everybody wants AI. AI adoption conversations are dominated by tools, models, and metrics. Far fewer organizations have figured out what to do with it once it's inside the building. The harder question, one that most leaders are avoiding, is what happens to the humans? Diana Wu David, Director of Futures at ServiceNow joins Juan and Tim to unpack what leaders should and should not be doing. Lees meer
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TAKEAWAY - AI Appetite Is Easy, Digestion Is Hard with Diana Wu David
1 mei 2026 · 5 min
This is the takeaway episode with Diana Wu David, Director of Futures at ServiceNow where we discuss AI adoption, the metrics and how far fewer organizations have figured out what to do with AI once it's inside the building. Lees meer
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It's Friday: Juan and Tim rant about AI, Agents, and the Uncomfortable Truth About Data's New Center of Gravity
24 april 2026 · 39 min
Juan and Tim's Friday rant covers a lot of ground, from Juan's TED takeaways on AI's unprecedented speed and what it means for humanity, to the uncomfortable shift data teams need to make: work and decisions are the point, not pipelines and gold layers. They dig into what Medallion Architecture 2.0 looks like (feedback loops, insights to action, agent governance), why organizational design theory applies directly to agent swarms, and what library science can teach us about the future data stack. The thread running through all of it: the humans who thrive in this moment won't be the ones who build the most, but the ones with taste. Lees meer
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Think Like a Librarian: Why the Reference Interview Is the Framework Data Teams Are Missing with Jenna Jordan and Amalia Child
16 april 2026 · 52 min
Data teams spend enormous energy building pipelines, platforms, and governance frameworks but often skip the most fundamental step: truly understanding what people are actually asking for. In this episode, Juan and Tim sit down with data librarians Jenna Jordan and Amalia Child to explore why library science may be the missing lens for data work. Lees meer
At the heart of the conversation is the reference interview, a structured technique librarians use to uncover a user's "true information need," which almost never matches the first question they ask. From establishing trust and listening without judgment, to asking open-ended questions and verifying whether the need was actually met, the reference interview offers a rigorous, repeatable framework for anyone serving data users.
If you've ever wondered why data projects deliver less value than expected, this episode will reframe the problem entirely and give you a practical toolkit to start closing the gap.
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TAKEAWAY - Think Like a Librarian: Why the Reference Interview Is the Framework Data Teams Are Missing with Jenna Jordan and Amalia Child
16 april 2026 · 6 min
Data teams obsess over pipelines and platforms but often skip the most fundamental step: truly understanding what people are actually asking for. We chat with data librarians Jenna Jordan and Amalia Child who share a framework for exactly that; it's called the reference interview, and it might be the most practical toolkit data teams have never used. Lees meer
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The Void Between Data and Decisions with Pete Williams
9 april 2026 · 57 min
There's a gap at the heart of most organisations and data hasn't filled it. Pete Williams, an experienced data leader, has spent years watching companies build sophisticated data capabilities, only to see insight stall before it reaches action. In this episode, we diagnose why: organisations still make decisions along traditional vertical lines, while data sits in a horizontal layer that was never given real authority. AI doesn't solve this misalignment, it exposes it! Pete makes a compelling case for why fixing this structural void is the defining challenge for data leadership today. Lees meer
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TAKEAWAY - The Void Between Data and Decisions with Pete Williams
9 april 2026 · 4 min
This is the takeaway episode with Pete Williams, an experienced data leader, who argues that organisations still make decisions along traditional vertical lines, while data sits in a horizontal layer that was never given real authority. Pete makes a compelling case for why fixing this structural void is the defining challenge for data leadership today. Lees meer
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Juan & Tim rant w/ Jesus Barrasa about Ontologies, Knowledge Graphs, Context Graphs and AI
5 april 2026 · 30 min
Juan and Tim have a rant session with a special guest in person, Jesús Barrasa, well known in the knowledge graph space. We covered AI trends, the balance between operational vs. strategic work, knowledge graphs, context graphs. The most valuable part of our rant was our pragmatic discussion about ontologies stripping them down to what they actually are and why they matter. Lees meer
Starting to work with ontologies? Think about these two dimensions: WHAT (Formal, Explicit and Shared Meaning) and WHY (Interoperability, Automation).
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The Wrong Mandate: Why Boards Set Data & AI to Fail with Kyle Winterbottom
3 april 2026 · 1 uur 1 min
Most organisations know they're not getting value from their data and AI investments, but few are willing to name the real culprit: the boardroom. In this episode, Kyle Winterbottom joins Juan and Tim to argue that the mandates handed to CDAOs are fundamentally broken because the people hiring them don't understand what good looks like. Boards continue to build capability without starting with the end in mind, creating a culture where data leaders are rewarded for building things rather than delivering outcomes. The result? An entire industry that has learned to play the wrong game. Lees meer
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TAKEAWAY - The Wrong Mandate: Why Boards Set Data & AI to Fail with Kyle Winterbottom
2 april 2026 · 5 min
This is the takeaway episode with Kyle Winterbottom where he argues that the mandates handed to CDAOs from the board are fundamentally broken because the people hiring them don't understand what good looks like. The result? An entire industry that has learned to play the wrong game. Lees meer
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AI Governance Is Everyone's Problem (And That's Actually Good News) with Kierra Dotson
27 maart 2026 · 58 min
Stop treating AI governance like a compliance checkbox handed down from the boardroom. Kierra Dotson joins Juan and Tim to argue that the chasm between ambitious AI strategy and messy technical reality exists precisely because we've made governance someone else's problem. The fix? Empower engineers, data scientists, and product owners to own their role in shaping ethical, sustainable AI — not as a burden, but as the thing that makes the work actually matter. Lees meer
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TAKEAWAY - AI Governance Is Everyone's Problem (And That's Actually Good News) with Kierra Dotson
26 maart 2026 · 5 min
This is the takeaway episode with Kierra Dotson where she argues that the chasm between ambitious AI strategy and messy technical reality exists precisely because we've made governance someone else's problem. Lees meer
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The Data Hygienist with Thais Cooke
19 maart 2026 · 45 min
What does dentistry have to do with data analytics? More than you'd think. Thais Cooke went from cleaning teeth to cleaning datasets and her unconventional path turned out to be a superpower. In this episode, Thais joins Juan and Tim to talk about why subject matter expertise is the ultimate force multiplier, how to build trust with stakeholders (hint: "I don't know" is a valid answer), and why the best data professionals aren't technical specialists — they're problem solvers. Lees meer
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TAKEAWAY - The Data Hygienist with Thais Cooke
18 maart 2026 · 4 min
This is the takeaway episode where Thais Cooke joins Juan and Tim to talk about why subject matter expertise is the ultimate force multiplier. Oh, and what does dentistry have to do with data analytics? More than you'd think! Lees meer
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Takeaways from Gartner Data & Analytics Rants with Sanjeev Mohan, Ryan Dolley, Juan and Tim
11 maart 2026 · 8 min
Want to get the honest no bs scoop of what happened at the Gartner Data & Analytics in Orlando, then this short and sweet episode is for you. This was an impromptu recording where Sanjeev Mohan and Ryan Dolley join Juan and Tim to share what they learned. Lees meer
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Pre Gartner Data & Analytics Rants with Juan and Tim
5 maart 2026 · 15 min
Juan and Tim rant about whats on their mind going into Gartner Data and Analytics conference: "Context" is going to be the word of the week, The Execution Gap, Decision intelligence might be the bridge and the thing nobody's talking about yet: context lock-in. Lees meer
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Your data should speak your language with Säde Haveri
26 februari 2026 · 56 min
Most data and AI initiatives don't fail on technology — they fail on meaning. In this episode, Juan and Tim chat with Säde Haveri, who makes the case that metadata is the bridge between systems and people: the language and structures that help humans understand, trust, and use data in their daily work. Her focus isn't on building smarter pipelines, but on turning complexity into shared understanding so that data actually drives decisions and behavior change. Because if your data doesn't speak your language, it simply won't work for you. Lees meer
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TAKEAWAY - Your data should speak your language with Säde Haveri
26 februari 2026 · 6 min
This is the takeaway episode with Säde Haveri where she makes the case that metadata is the bridge between systems and people. Most data and AI initiatives don't fail on technology — they fail due to the lack of meaning. If your data doesn't speak your language, it simply won't work for you. Lees meer
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Shift Left Everything: How Ontology, Events, and Culture Unlocked Enterprise AI with Nachiket Mehta
19 februari 2026 · 1 uur 2 min
Juan and Tim are back for a LIVE episode with Nachiket Mehta, an experienced data leader who has lived and breathed the “shift left”. In this episode we unpack how ontology, events and culture unlock enterprise AI. Lees meer
We discuss the gap between what your systems think is happening and what's actually happening on the ground and dive into real world examples: a trailer with expensive merchandise sat forgotten in a yard for weeks. $35M in delayed orders. The math added up, but nobody saw it coming. Why? Because we're obsessed with cleaning data and building dashboards, but nobody mapped the happy path vs. the exceptions actually happening on the ground. What is delivery when the customer isn't home? What's "lost in transit" versus "sitting in our own yard"?
The solution? Send your ontologist to the fulfillment center. Build tiger teams. Shift your data teams left to act like software product teams. And most importantly: connect the five why's back to your OKRs, or you're just building features nobody needs.
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TAKEAWAY - Shift Left Everything: How Ontology, Events, and Culture Unlocked Enterprise AI with Nachiket Mehta
19 februari 2026 · 6 min
This is the takeaway episode with Nachiket Mehta, an experienced data leader who has lived and breathed the “shift left”. In this episode we will unpack how ontology, events and culture unlock enterprise AI. We discuss why your ontologist needs to visit the fulfillment center, how to shift data teams from afterthought to proactive partner, and why the five why's matter more than your tech stack. Lees meer
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The way we build agents today is dumb with Vaibhav Gupta
12 februari 2026 · 54 min
Tim and Juan unpack why Vaibhav Gupta, co-creator of BAML, states that most agentic AI code out there is dumb. It's ugly, fragile, and built by people who've never had to wrestle with probabilistic systems before. But here's the thing: we've seen this movie before. Remember when building websites was painful? Then jQuery showed up... then React... then Tailwind. Abstraction always wins. It just takes time (and about 50 bad frameworks for every good one). The gaming industry also figured out about unreliable systems decades ago. The takeaway is that the real bottleneck isn't abstracting the AI, instead it's abstracting the failure. Oh, and this episode has a live demo (first time we ever do this!). Lees meer
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TAKEAWAY - The way we build agents today is dumb with Vaibhav Gupta
12 februari 2026 · 4 min
This is the takeaway episode with Vaibhav Gupta, co-creator of BAML, where we unpack why most agentic AI code out there is dumb. If you like what you hear, you should listen to the full episode. Lees meer
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It's Friday, Juan and Tim rant about Decisions, Context, MCP and Maturity Models
6 februari 2026 · 28 min
Juan and Tim grab a beer and rant about decision intelligence and context graphs, MCP vs Skills, and how companies really have a work problem (not a data/AI problem) and what is the maturity model to get that work done Lees meer
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Stop Chasing AI Hype. Start Counting Dollars. w/ Juan Gorricho
5 februari 2026 · 56 min
Tired of executives breathlessly asking "what's our AI strategy?" while your data team drowns in 1,000 dashboards that nobody uses? In this episode, Juan and Tim cut through the noise with Juan Gorricho a data and analytics executive with more than 25 years of experience delivering business value at TD Bank, Visa, The Walt Disney Company Lees meer
We cover: Why do data leaders keep building vanity metrics instead of business value? How do you go from being an "order-taking reporting team" to a trusted decision intelligence partner? And why does every data governance initiative feel like building policies nobody wants to follow?
The secret? Do it by slice. Not top-down. Not bottom-up. By slice—connecting each data product to real business outcomes while building reusable foundations underneath.
If you're ready to turn your data team's NPS around and build trust that actually sticks, this one's for you.
Spoiler: It starts with being brave enough to tell executives the truth. And btw, "I bet 40 columns drive 90% of your business."
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