<ivm />

Insights on data, architecture, and cloud technology.

Featured Articles

July 3, 2026

How we built EU-resident family-finance on GCP

Family money is the most sensitive data we hold. Here's how we built nestbalm on GCP — data in Europe, a schema per household, and a key per family.

June 22, 2026

FERC just gave AI data centers a fast lane to the grid — and the grid had nothing to give them

The Federal Energy Regulatory Commission ordered six grid operators to fast-track interconnection requests from data centers, with 30- and 60-day deadlines to defend rate structures. Wholesale electricity is already up 267% in some regions, AI demand is projected to triple through 2035, and the interconnection queue for new generation already exceeds the entire existing U.S. power plant fleet. The order accelerates plugs-in time without adding a single watt of new capacity. The 'fast lane' is a regulatory illusion that papers over the real constraint — generation, not interconnect — and the next 18 months of AI infrastructure buildouts are about to hit a wall that policy just made more visible. The moat in this phase isn't pipes, it's electrons, and there is no policy lever that mints electrons.

June 19, 2026

DeepMind is scared of what happens when millions of agents meet — and you should be too

Google DeepMind has launched a dedicated multi-agent safety research investment the same week MIT Technology Review profiled the team's warnings about emergent behavior once agents reach internet-scale populations. The risks are qualitatively different from single-agent risk: coordination failures, collusion, market manipulation, and cascading errors that no isolated eval can catch. While the industry is still funding single-agent benchmarks, the real threat surface is the interactions between agents — and the governance gap is not going to close itself. The same 'decision traces' framework this blog has been arguing for as an enterprise concern is about to become a civilizational concern, and the protocols for capturing it are still being sketched in whiteboards.

More Articles

June 15, 2026

Visa Just Gave AI Agents a Credit Card — and Nobody Asked Who Pays When They Go Rogue

Visa has opened its payment rails to AI agents acting on behalf of consumers, settling transactions initiated by software rather than humans. The move is positioned as a convenience upgrade, but it quietly collapses the human-in-the-loop control that has defined card-network fraud and dispute frameworks for six decades. Agent-driven payments will be the first real test of whether 'decision traces' and 'permission systems' — concepts most enterprises have been treating as theoretical — become mandatory infrastructure overnight. The reckoning that PSD2 forced on European banks is coming for the agent economy, only faster and without geographic containment.

June 12, 2026

The Human-as-Orchestrator Shift: Why Middle Management Is the Last Role AI Will Eat

For two years, the loudest AI debate has been whether models will replace individual contributors. The wrong fight. The actual restructuring is happening one layer up — in the work of coordinating people, tools, and now agents. The 'human-as-orchestrator' shift means the manager's job is no longer to delegate tasks but to design the system that delegates itself. Companies that get this right will collapse management layers and multiply output. Companies that get it wrong will produce a generation of 'agent babysitters' whose only job is to clean up the model's mistakes.

June 5, 2026

The Protocol Wars: Why AAMP and MCP Will Decide Who Owns the Agentic Economy

While the AI industry burns billions chasing bigger models, the real fight for the agentic economy is being waged over protocol standards. AAMP (Agentic Advertising Management Protocol) and MCP (Model Context Protocol) are quietly determining which platforms capture the infrastructure layer that every autonomous agent will run on. The winners won't have the best models — they'll have the protocols everyone else has to support.

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 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 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.

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

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 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

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 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...