The Data Journey

Jaksot

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  Episode 95: Organisational Readiness vs Technical Readiness 15.09.2026 7min

  The conversation delves into the distinction between technology readiness and organizational readiness for AI implementation. It highlights the challenges and implications of organizational readiness, emphasizing the role of leadership, governance, and incentives in driving successful AI adoption.TakeawaysOrganizational readiness is a critical factor in the successful implementation of AI.Transformation occurs when behavior changes, not just when technology arrives.Chapters00:00 Technology Readiness vs Organizational Readiness01:24 Visibility of Organizational Readiness01:54 The Uncomfortable Reality03:22 Leadership and Team Readiness04:20 The Role of Governance05:20 Assessing Organizational Readiness06:20 Transformation and Behavior Change
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  Episode 94: Why Most Organisations Can’t Scale AI Beyond Pilots 09.09.2026 9min

  The conversation delves into the challenges of scaling AI pilots and the distinction between organizational readiness and technical readiness. It emphasizes the need for an operating model and organizational capability to turn AI pilots into repeatable value.TakeawaysAI pilots vs. AI scalingOrganizational readiness vs. technical readinessChapters00:00 The Challenge of Scaling AI Pilots03:03 The Operating Model for AI Scaling05:53 Building Organizational Capability for AI Scaling
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  Episode 93: The Missing Role: Product Managers for Data & AI 02.09.2026 13min

  The missing role in many data and AI operating models is the product manager for data and AI. This role connects the problem to the capability, business to technology, strategy to execution, and investment to outcomes. Without product management, data teams become order takers, technology teams become capability factories, and executives become portfolio approvers without ever seeing the outcome of the investment.TakeawaysProduct management for data and AI is crucial for connecting business problems to technology solutions.The role of the product manager is to bridge the gap between business and technology, ensuring that investments in data and AI create measurable value.Chapters00:00 The Missing Role in Data and AI Operating Models01:31 The Importance of Product Thinking03:23 The Role of the Product Manager04:24 Challenges Without Product Management06:20 Responsibilities of the Product Manager09:09 The Role of Product Management in Executive Conversations10:21 The Value of Product Management in Data and AI
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  Episode 92: Funding Models: Why Data & AI Initiatives Stall 29.08.2026 9min

  The episode explores the impact of funding on data and AI initiatives, highlighting the mismatch between traditional funding models and the ongoing nature of data and AI capabilities. It emphasizes the need to fund strategic data and AI capabilities as persistent products or capabilities, rather than as temporary projects.TakeawaysFunding models for data and AI initiatives should align with the ongoing nature of capabilities, requiring persistent investment.Strategic data and AI capabilities should be funded as persistent products or capabilities, not as temporary projects.Chapters00:00 The Impact of Funding on Data and AI Initiatives03:00 The Mismatch in Traditional Funding Models06:26 Rethinking Funding for Data and AI Capabilities
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  Episode 91: Why Governance Slows Teams Down (And How to Fix It) 26.08.2026 16min

  The episode delves into the role of governance in organizations, highlighting the distinction between decision-making and approval. It explores the problems with traditional governance, challenges with decision-making and escalation, executive involvement, defining acceptable behavior and decision rights, layers of decision-making, characteristics of good governance, and the objective of governance.TakeawaysGovernance is about decision-making, not just approvalGood governance creates autonomy and clear decision boundariesChapters00:00 The Role of Governance in Organizations01:25 The Problems with Traditional Governance04:11 Challenges with Decision-Making and Escalation05:58 Executive Involvement and Decision Rights07:27 Defining Acceptable Behavior and Decision Rights10:10 Layers of Decision-Making11:07 Characteristics of Good Governance13:32 The Objective of Governance
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  Episode 90: The Role of the Data COE (What It Should Actually Do) 21.07.2026 16min

  The conversation delves into the misunderstood role of the Data COE, highlighting the inherent flaws of undefined excellence and reframing the COE's role as a facilitator of good behavior. It emphasizes the actual definition of excellence, the empowerment of ownership through the COE, and the role of the COE in a federated structure. Additionally, it discusses the balance between control and enablement in the COE, the long-term mandate of the COE, and ultimately defines the purpose of the Data COE.TakeawaysData COE's real job is to make good behavior easy to repeatCOE should build the foundation, codify what works, build capability, and make governance something teams work with🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 89: Data Ownership Is Still Broken (And Why That Matters) 24.06.2026 7min

  In this episode, Roland discusses the concept of ownership and its impact on behavior within an organization. He emphasizes the importance of real ownership, accountability, and value-driven ownership. The conversation delves into the challenges of ownership in federated models and the need for clear ownership to enable effective decision-making and reliable systems.TakeawaysOwnership is defined by behaviorOwnership without accountability creates activity, accountability creates actionReal ownership is tied to value, not activity🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 88: Centralised vs Federated: What Actually Works in Practice 26.05.2026 20min

  The conversation explores the debate between centralized and federated operating models, highlighting the impact of behavior on the success of these models. It emphasizes the need for a mature hybrid operating model that balances consistency and agility, with a focus on clarity and coordination across distributed ownership.TakeawaysCentralized vs. federated operating modelsBehavioral impact on operating models🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 87: Architecture Is Not an Operating Model 09.05.2026 14min

  In this episode, Roland Brown discusses the critical distinction between architecture and operating model, emphasizing the importance of aligning these two layers for successful execution of data and AI initiatives. The role of architecture in enterprise transformation, the significance of operating models in data and AI initiatives, and the impact of aligning architecture and operating models are explored in detail.TakeawaysArchitecture vs Operating ModelExecution and StrategyAlignment of Architecture and Operating Model🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 86: Why Data & AI Strategies Fail in Execution 22.04.2026 7min

  The conversation delves into the journey of data products as intentional units of value, the gap between architecture and execution, the role of the operating model in execution, friction in the operating model, the danger of execution failure, and the importance of the operating model in creating value through consistent execution.TakeawaysData products as intentional units of valueExecution is where value is realized or lost🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 85: From Experimentation to Production AI 14.04.2026 11min

  The conversation delves into the challenges and considerations of transitioning AI systems to production, emphasising the organisational commitment, alignment, and maturity required for successful operation. It highlights the importance of trust, context, and intelligence in production AI, and the distinction between experimentation and real systems.TakeawaysAI in production is a commitmentProduction AI requires organisational alignmentTrust, context, and intelligence are crucial in production AI🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 84: AI Value vs AI Theatre 07.04.2026 10min

  The conversation explores the concept of AI theater, where visibility masquerades as progress, and the value of AI is measured by sustainable impact rather than impressive demos. It emphasizes the importance of discipline in AI, focusing on trust, context, and intelligence as key factors in building real value.TakeawaysAI TheaterValue of AIDiscipline in AI🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 83: When Not to Use AI 02.04.2026 10min

  The conversation explores the role of AI in architecture, emphasising the importance of architectural decision-making, complexity, clarity, data patterns, AI in policy-driven environments, risk and consequences of AI, ownership and governance of AI, and restraint in AI implementation.TakeawaysArchitectural decision-making is crucial in determining the necessity of AI implementation.Restraint in AI implementation is essential for maintaining coherence and trustworthiness in systems.🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 82: Explainable AI Starts With Architecture 27.03.2026 10min

  The episode introduces the concept of explainability and its importance in AI systems. It emphasizes that explainability is not an AI feature but an architectural outcome, and it's about being able to retrace intent. The conversation sets the stage for a deep dive into the topic of explainability and its practical implications in the context of customer 360.TakeawaysExplainability is not an AI feature, it's an architectural outcomeExplainability is about being able to retrace intent🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 81: Governing AI Like a Product 24.03.2026 6min

  The conversation explores the failure of AI governance, the need to move governance closer to where decisions are made, and the shift to product-centric governance. It also discusses the importance of specificity and context in governance, grounding governance in architecture, and enabling speed and scalability through product-based governance.TakeawaysAI governance fails due to a product problem, not a policy problemGovernance needs to move closer to where decisions are madeProduct-based governance enables speed and scalability🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 80: Human-in-the-loop Design 20.03.2026 9min

  The episode explores the concept of responsible AI and the role of humans in AI systems. It discusses the seduction of automation, the danger of full automation, effective human in the loop design, and common anti-patterns in AI systems. The importance of context, trust, and governance in AI systems is emphasized, highlighting the need for operational governance of AI as a product.TakeawaysHuman in the loopResponsible AI🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 79: Observability for AI Systems 17.03.2026 10min

  In this episode, Roland introduces the Data Journey and discusses the importance of observability in AI systems. He explains the significance of observability in detecting gradual failures in AI systems and emphasizes the need for observability in data, model, and decision behavior. Roland also highlights the importance of ownership and response in observability and its role in supporting the AI ready architecture framework. He concludes by discussing the challenges of retrofitting observability and the critical role of observability in keeping AI systems aligned with reality.TakeawaysObservability is crucial for detecting gradual failures in AI systems.Observability in AI systems encompasses data behavior, model behavior, inference data, ownership, and response.🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 78: Data Quality for Machine Learning (Different Rules) 13.03.2026 7min

  The podcast episode explores the critical importance of data quality in the context of AI and machine learning. It delves into the nuances of data quality for training and inference, the impact of contextual quality, and the need for continuous quality observation and observability in AI systems.TakeawaysData quality for machine learning follows different rules than traditional data quality frameworks.Quality in AI systems is inseparable from observability and is more precise, contextual, dynamic, and architectural.🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 77: Metadata and Lineage for AI Explainability 09.03.2026 7min

  In this episode, Roland Brown discusses the importance of explainability in AI systems, emphasizing that it begins in the architecture. He highlights the significance of metadata as the architecture of meaning and lineage as a key factor in establishing trust and responsibility in AI systems.TakeawaysExplainability begins in the architectureMetadata is the architecture of meaningLineage is about responsibility🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com
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  Episode 76: Training Data vs Inference Data 05.03.2026 6min

  The podcast episode explores the distinction between training data and inference data, highlighting the architectural discipline required for each type of data. It emphasises the challenges and root causes of architectural issues, and introduces the three-layer model for trust and the importance of metadata and lineage for AI systems.TakeawaysTraining data and inference data require different architectural discipline and trust guarantees.Metadata and lineage are crucial for AI systems, more so than for analytics.🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com