News

Artificial intelligence is no longer a distant technological frontier, but a transformative force reshaping industries, economies, and daily life at unprecedented speed. The rapid advancement of AI models, from large language models to multimodal agentic systems, has ushered in remarkable capabilities. But this progress carries a hidden cost: an exponentially growing demand on the world's physical infrastructure, energy, rare earth metals, and water.

Most organizations don’t fail at AI because they lack ideas. They fail because they start in the wrong place.
It usually begins with momentum. Leadership teams gather, inspired by what AI could unlock. Use cases emerge quickly: automation, copilots, predictive models, optimization. The list grows. Investment follows. Activity accelerates.
And yet, despite all this movement, something doesn’t click. Because what looks like a strategy is often just a collection of initiatives.

As AI becomes embedded in core business processes, leaders can no longer treat it as just another digital tool. The question is not only which AI solutions to adopt, but who controls the data, the technology, the decisions, and the future direction of the organization’s AI capability.

Most organizations approach AI through the familiar lens of digital transformation: identify use cases, build a roadmap, launch pilots, and hope value will follow. But AI does not behave like traditional software. Narrow use cases and rigid roadmaps may create activity, but they often fail to unlock the true transformative potential of artificial intelligence.

AI is scaling fast. But so are its costs and environmental impact. What was once an innovation advantage is quickly becoming a challenge for infrastructure, budgets, and sustainability targets.

I’ve explained that I implemented Azure Cosmos DB for storing save-games for a private project. As a software developer, I’ve found the technology Cosmos DB to be deceptively tricky to grasp, and hopefully my last blog has helped you wrap your head around designing your database in terms of partitioning and scaling. This time I’ll dive deep into securing the database and how to make data available at lightning-fast speeds all over the world!