What really changes when data no longer waits for the nightly batch?...
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Data & AI Insights
Ideas for building modern, governed, and AI-ready data platforms.
Explore Data & AI Insights through practical perspectives on data architecture, engineering, governance, data products, AI-ready foundations, and the leadership decisions that turn data platforms into business capabilities.
Architecture · Platforms · Governance · Data Products · AI-Ready Data · Leadership
THEMES I WRITE ABOUT
Ideas across the modern data and AI landscape
From architecture foundations to AI-ready platforms, these are the areas where technology, operating models, governance, and business outcomes come together.
Data Architecture
Patterns and decisions for designing scalable, resilient, and trustworthy enterprise data ecosystems.
Data Platforms & Engineering
Practical thinking on pipelines, integration, storage, platforms, and the foundations of modern data engineering.
Data Governance & Quality
Making enterprise data trusted, discoverable, controlled, and fit for analytics, operations, and AI.
Data Products & Contracts
Designing data as a product with clear ownership, expectations, interfaces, and reliable consumer experiences.
AI-Ready Data
Building the data foundations required for analytics, GenAI, intelligent applications, and responsible AI adoption.
Data Strategy & Leadership
Connecting architecture and platform decisions to operating models, transformation, business outcomes, and change.
FEATURED INSIGHTS
Start with these ideas
Three perspectives that capture the themes at the heart of modern data architecture, AI-ready foundations, and data products.
DATA ARCHITECTURE
Illuminating the Enterprise Data Path: How to Build a Scalable and Trustworthy Data Architecture
A practical look at the architectural foundations required to build enterprise data ecosystems that can scale without sacrificing trust, governance, or usability.
DATA FOUNDATIONS FOR AI
Data Foundations for AI
Why AI ambition depends on strong, governed, trustworthy data foundations—and what organizations need to get right before scaling intelligent systems.
DATA PRODUCTS
From Data Assets to Data Products
A shift from simply owning data to deliberately designing reusable, reliable data products that create value for consumers across the enterprise.
LATEST FROM DATA & AI INSIGHTS
Recent ideas, patterns, and perspectives
Explore the latest articles across data architecture, platforms, governance, engineering, AI-ready foundations, and modern data leadership.
From Copilot to Production: A Practical Architecture for AI-Augmented Data Engineering
Moving an AI assistant from code generation into production requires much more...
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AI-Augmented Data Engineering: Beyond Code Generation
AI-Augmented Data Engineering is about much more than generating SQL. The real...
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Context Is the New Data Layer for Agentic AI
Agentic AI needs more than access to data—it needs the right context...
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Stop Building Pipelines. Start Building Data Capabilities.
Data teams often rebuild the same ingestion, quality, governance, and monitoring foundations...
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Your Data Platform Is Not a Technology Project.
A modern data stack does not automatically create a modern data platform....
Read MoreCONTINUE LEARNING
Take the ideas further.
Move from insight to deeper practice through structured learning and long-form thinking on modern data platforms, governance, and data products.
LEARN BY DOING
Explore Courses
Build practical understanding through structured courses on data architecture, data engineering, data mesh, and modern data practices.
GO DEEPER
Data Contracts in Action
Explore a practical guide to creating governed, reliable, and scalable data products through well-designed data contracts.