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Insights on data, architecture, and cloud technology.
Featured Articles
March 27, 2026
Vertex AI in Production: The 5 'Gotchas' You Need to Watch For
Moving from a notebook to production on Google Cloud's Vertex AI is rarely a straight line. Here are the five key architectural and operational moments where things usually break, and how to stay ahead of them.
March 23, 2026
The Rise of Autonomous Research and Coding Agents
AI agents are transitioning from simple chat interfaces to deep research and autonomous coding systems. This shift is redefining how we build software and analyze markets, turning AI from a passive assistant into a proactive partner.
March 18, 2026
AI Governance: Why the DAMA Principles are More Relevant Than Ever
How the established DAMA Data Management Principles provide the essential foundation for governing the next generation of AI agents.
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March 16, 2026
The Microservices Moment of AI: Multi-Agent Orchestration
Why the future of AI isn't one giant model, but coordinated squads of specialized agents working together.
March 13, 2026
The 5 Layers of AI they discussed in Davos
A concise summary of the 5 layers of the AI ecosystem (Compute, Models, Fine-Tuning, Agents, Applications) as discussed by tech leaders at the World Economic Forum.
March 11, 2026
The End of the 'Data Engineer'? The Evolution to AI Engineer
As AI agents replace static dashboards, the traditional 'Data Engineer' is rapidly evolving into an 'AI Engineer'. Are we witnessing the end of an era, or just a major rebrand?
March 9, 2026
The Mandate for 'AI-Ready' Data Foundations and Governance
The tech industry has hit a hard realization in 2026: AI is only as good as the first-party data powering it. Fix your foundation, or your LLMs will stay in the toy box.
March 2, 2026
The Shift to Agentic AI and Autonomous Workflows
We are seeing a massive transition from simple, conversational AI pilots to full-scale agentic workflows in production. This isn't just an evolution; it's a paradigm shift in how enterprises leverage artificial intelligence. The days of siloed chatbots handling basic queries are rapidly giving way to sophisticated, autonomous agents capable of complex, multi-step tasks.
February 27, 2026
The Rise of Small Language Models: Why specialized > generalized for enterprise
While the world fixates on trillion-parameter behemoths, the real enterprise revolution is happening in the 'small' category. Specialized, fine-tuned Small Language Models (SLMs) are outperforming generalized LLMs in cost, speed, and privacy.
February 20, 2026
Data Mesh Governance: How to Enforce Policies Without Becoming a Bottleneck
Data mesh promises decentralized ownership, but often delivers decentralized chaos. The fix isn't more meetings—it's automated, federated governance that acts as a guardrail, not a gatekeeper.
February 18, 2026
SQL vs. NoSQL in 2026: The Pendulum Swings Back
The 'NoSQL by default' era is over. With Postgres becoming a universal database and NewSQL solving the scaling problem, relational is cool again.
February 16, 2026
Technical Debt as an Asset: When Ugly Code is a Strategic Advantage
Perfection is the enemy of done. We explore why startups should treat technical debt like a financial loan—leverage it for speed, but have a plan to pay it back.
February 13, 2026
The 'Data Product' Fallacy: Wrapping Garbage in a Gift Box
Calling a table a 'product' doesn't make it valuable. We explore why the Data Mesh hype is failing where it matters most: data quality and usability.
February 11, 2026
AI and the Market Sentiment: From Hype to Reality
The initial gold rush is cooling, but the real work is just beginning. We examine how market sentiment towards AI is shifting from blind optimism to pragmatic scrutiny.
September 4, 2025
On Data Management
As a Data Professional with over two decades in the trenches of enterprise data, I can tell you that the current excitement around AI, while invigorating, is putting immense pressure on the very foundations of our work.
August 15, 2025
The Visionary Data Architecture
For too long, we've been designing data systems as passive repositories. A warehouse. A lake. These are static, historical metaphors. We need to stop building data museums ...
July 4, 2025
From Big Data To ...
For the last decade, the big story in data was 'Big Data' — the V's: Volume, Velocity, and Variety. It was a story about infrastructure,...
January 20, 2025
Navigating the Data Frontier
A Senior Strategist's Guide to Enterprise Data Management Assessment
April 28, 2018
Digitalisation Simplicity
There are two dimensions that matter most to the people...