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Insights on data, architecture, and cloud technology.
Featured Articles
June 3, 2026
AI Agents and Always-On Workflows: The Next Evolution Beyond Chatbots
AI agents are evolving from simple chatbots into autonomous, always-on workflows that operate across tools and time boundaries. But with this power comes a new class of security risks that enterprises must address before deployment.
June 3, 2026
Embodied AI Is Moving From Demos to the Control Plane of the Physical World
Sony's table-tennis bot, the Beijing humanoid half-marathon, and Hyundai's robotics push all point to the same shift: embodied AI is graduating from staged demonstrations to the control layer of factories, warehouses, and consumer hardware. The winners will be the companies that treat physical AI as an infrastructure problem, not a hardware problem.
June 2, 2026
AI Agents Aren't Hitting a Model Wall — They're Hitting a Permissions Wall
While the AI industry obsessively benchmarks GPT-5 scores and context windows, enterprises deploying agents at scale are discovering the real bottleneck isn't capability — it's authorization. The companies that solve permissioned autonomy will win the agentic AI race, not the ones with the highest MMLU scores.
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May 30, 2026
12 AI Automation Examples That Deliver Value
Most AI projects stall because use cases sound impressive in workshops but never map cleanly to business processes. This article walks through 12 automation examples — from document processing to executive reporting — that reduce delay, remove repetitive work and improve decision quality where data foundations allow it.
May 26, 2026
What Is Google Cloud Platform Used For?
Google Cloud Platform is a collection of cloud services that help organisations run applications, store and process data, build analytics workflows, improve security, and put AI into production. For small and mid-sized businesses, the real value is not simply moving servers into the cloud but creating an operating model where data is easier to manage, teams can work faster, and systems can scale without constant rework.
May 25, 2026
What Google Cloud Data Platform Architecture Should Actually Solve
Most data platforms fail not because cloud tools are weak, but because architecture was treated as a product checklist rather than an operating model. A sound Google Cloud data platform must support analytics, operational decision-making, and AI use cases without becoming expensive or chaotic.
May 25, 2026
Hyperscale AI Architecture: Why Data Center Connectivity Is the New Competitive Moat
The AI infrastructure race has a hidden bottleneck that most enterprises are just starting to understand: it's not GPUs or power, it's the network fabric connecting them. Here's why data center connectivity is becoming the decisive factor in who wins the AI race.
May 25, 2026
AI Services Sovereignty: The True Cost of Every Hosting Model
When AI services touch sensitive data, where they run matters as much as what they run. We break down the sovereignty premium embedded in every hosting model—from bare metal to public APIs—and show what it actually costs as a percentage of your project budget.
May 20, 2026
Embodied AI: From Table-Tennis Robots to Factory Floors
Exploring the shift from chatbots to physical AI systems that perceive, act, and learn in the real world—humanoid robots, industrial automation, and the integration of AI into tangible hardware.
May 18, 2026
The Pivot to 'Agentic AI' & Usage-Based Pricing
GitHub's shift to usage-based pricing for Copilot and the blocked Meta Manus acquisition signal a pivotal move from chatbots to autonomous AI agents. This article explores the implications of agentic AI, the economic pressures driving usage-based models, and what it means for enterprises adopting AI at scale.
April 28, 2026
AI Agents and Autonomous Workflows: The Next Evolution Beyond Chatbots
AI agents are moving beyond simple chatbots to execute complex, multi-step workflows autonomously. This article explores the shift, real-world applications, challenges, and what it means for businesses.
April 20, 2026
Common Architectural Patterns in the Age of AI
As AI becomes the default compute paradigm, architectural patterns are shifting. This post explores key AI-first patterns like Orchestrator-Worker, RAG Pipeline, Feedback Loops, and Multi-Modal Fusion.
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 20, 2026
Physical AI: Agents Beyond the Screen
The next frontier of agentic AI isn't in your browser—it's in the real world. Exploring the transition from LLMs to Physical AI.
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.
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 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...