Ep 2. What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven Organizations - The Data Playbook podcast: Kris Peeters, Tim Schröder, Pascal Brokmeier episode artwork

EPISODE · May 2, 2025 · 1H 39M

Ep 2. What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven Organizations - The Data Playbook podcast: Kris Peeters, Tim Schröder, Pascal Brokmeier

from The Data Playbook Podcast · host Dataminded

What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven OrganizationsIn this episode of The Data Playbook, we explore a crucial and often overlooked question in the age of generative AI: not what to build—but what not to build.Host Kris Peeters (CEO of Dataminded) is joined by seasoned data leaders Pascal Brokmeier (Head of Engineering at Every Cure) and Tim Schröder (AI & Data Transformation Lead in Biopharma), to talk about the dark side of unlimited AI capabilities: technical debt, fragmented systems, and innovation chaos.Topics we dive into:Why generative AI lowers the barrier to building—but increases long-term complexityThe risks of treating LLMs as “magical oracles” without governanceHow RAG systems became the default architecture—and why that’s dangerousThe zoo vs. factory dilemma: how to balance AI experimentation with structureMaster data vs. knowledge graphs vs. embeddings – when and why each breaks downWhat Klarna got right (and wrong) by replacing SaaS tools with AI-generated internal appsThe growing importance of AI literacy, data maps, and platform thinkingReal-world examples of AI agents autonomously debugging systems—and when that’s terrifyingWe ask tough questions like:Are enterprises just building themselves into a new kind of mess, faster than ever before?Is the AI hype driving us toward “build now, regret later”?Should you really let every department build their own AI stack?Whether you're a data engineer, data architect, AI product lead, or a data strategist, this episode is a must-listen. We’re cutting through the hype to figure out where the real value is—and where the future tech debt is quietly piling up.🧠 Key quote:"If you can't tell me why you're building it, maybe you shouldn't be building it at all."💡 Tune in to learn how to stay smart, intentional, and strategic when it comes to building with AI.#TheDataPlaybook #DataEngineering #AIinBusiness #TechnicalDebt #RAG #LLMs #DataStrategy #EnterpriseAI #DataGovernance #DataLeadership #KnowledgeGraphs #GenerativeAI #AIinHealthcare #AIProduct #Dataminded

What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven OrganizationsIn this episode of The Data Playbook, we explore a crucial and often overlooked question in the age of generative AI: not what to build—but what not to build.Host Kris Peeters (CEO of Dataminded) is joined by seasoned data leaders Pascal Brokmeier (Head of Engineering at Every Cure) and Tim Schröder (AI & Data Transformation Lead in Biopharma), to talk about the dark side of unlimited AI capabilities: technical debt, fragmented systems, and innovation chaos.Topics we dive into:Why generative AI lowers the barrier to building—but increases long-term complexityThe risks of treating LLMs as “magical oracles” without governanceHow RAG systems became the default architecture—and why that’s dangerousThe zoo vs. factory dilemma: how to balance AI experimentation with structureMaster data vs. knowledge graphs vs. embeddings – when and why each breaks downWhat Klarna got right (and wrong) by replacing SaaS tools with AI-generated internal appsThe growing importance of AI literacy, data maps, and platform thinkingReal-world examples of AI agents autonomously debugging systems—and when that’s terrifyingWe ask tough questions like:Are enterprises just building themselves into a new kind of mess, faster than ever before?Is the AI hype driving us toward “build now, regret later”?Should you really let every department build their own AI stack?Whether you're a data engineer, data architect, AI product lead, or a data strategist, this episode is a must-listen. We’re cutting through the hype to figure out where the real value is—and where the future tech debt is quietly piling up.🧠 Key quote:"If you can't tell me why you're building it, maybe you shouldn't be building it at all."💡 Tune in to learn how to stay smart, intentional, and strategic when it comes to building with AI.#TheDataPlaybook #DataEngineering #AIinBusiness #TechnicalDebt #RAG #LLMs #DataStrategy #EnterpriseAI #DataGovernance #DataLeadership #KnowledgeGraphs #GenerativeAI #AIinHealthcare #AIProduct #Dataminded

NOW PLAYING

Ep 2. What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven Organizations - The Data Playbook podcast: Kris Peeters, Tim Schröder, Pascal Brokmeier

0:00 1:39:20

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Data Playbook Podcast?

This episode is 1 hour and 39 minutes long.

When was this The Data Playbook Podcast episode published?

This episode was published on May 2, 2025.

What is this episode about?

What Not to Build with AI: Avoiding the New Technical Debt in Data-Driven OrganizationsIn this episode of The Data Playbook, we explore a crucial and often overlooked question in the age of generative AI: not what to build—but what not to build.Host...

Can I download this The Data Playbook Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!