Artificial Intelligence
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…
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…
From Ledgers to Intelligence Part 10: The Lakehouse Delta Lake, Apache Iceberg, and the Convergence of Lake and Warehouse
Digital Transformation | June 2026 The data lake had solved the storage problem cheap,…
From Ledgers to Intelligence Part 9: Data Lakes The Promise of Storing Everything (and the Mess That Followed)
Digital Transformation | June 2026 In 2010, James Dixon the then-CTO of Pentaho wrote…
From Ledgers to Intelligence Part 8: The Modern Data Stack dbt, Fivetran, and the Composable Analytics Era
Digital Transformation | June 2026 By 2016, the cloud data warehouse was established. Snowflake,…
From Ledgers to Intelligence Part 7: The Cloud Data Warehouse How Redshift, BigQuery and Snowflake Rewrote the Rules
Digital Transformation | June 2026 The data warehouse had been the centrepiece of enterprise…