Data & AI
From Ledgers to Intelligence Part 17: The Unified Intelligence Platform When BI, AI, and Data Engineering Converge
Digital Transformation | June 2026 The Modern Data Stack assembled a best-of-breed architecture from…
From Ledgers to Intelligence Part 16: Generative AI Meets Analytics Text-to-SQL, Copilots, and Natural Language Dashboards
Digital Transformation | June 2026 In November 2022, OpenAI released ChatGPT. Within weeks, data…
From Ledgers to Intelligence Part 15: AI and ML Enter the Stack Feature Stores, MLflow, and Analytics That Learn
Digital Transformation | June 2026 For the first fifteen years of the data warehouse…
From Ledgers to Intelligence Part 14: The Semantic Layer One Definition to Rule Them All
Digital Transformation | June 2026 By 2021, most organisations with a mature data stack…
Rayfin on Microsoft Fabric: The End of Backend Boilerplate for AI Apps
On June 2, 2026 — during the opening keynote of Microsoft Build — a…
From Ledgers to Intelligence Part 13: Data Mesh Decentralising Ownership and the Domain-Oriented Data Architecture
Digital Transformation | June 2026 In March 2019, Zhamak Dehghani then principal technology consultant…
Claude Fable 5 & Mythos 5: Anthropic’s Most Powerful AI Models Are Here — What It Means for Everyone
The AI frontier just opened to everyone. On June 9, 2026, Anthropic released Claude…
From Ledgers to Intelligence Part 12: Real-Time Analytics Kafka, Flink, and the Move from Batch to Stream
Digital Transformation | June 2026 The entire history of data analytics described in the…
From Ledgers to Intelligence Part 11: Self-Service Analytics When Tableau, Power BI and Qlik Put Dashboards in Everyone’s Hands
Digital Transformation | June 2026 For the first two decades of enterprise analytics, dashboards…
The Invisible Scaffold: Why AI Agent Harnesses Define Real-World AI Success
Everyone is racing to deploy AI agents. But without the right harness — the…