Cat-Insights

Remote vs. RTO: A Practical Framework for Business Leaders

The debate between remote and return-to-office often misses the point. It's not about location, it's about whether the structure of work aligns with how the team delivers value. A co-located team building a high-risk product under tight deadlines may outperform a remote one, because the environment supports fast iteration and trust. Conversely, mature teams with strong autonomy, clear interfaces, and asynchronous processes often thrive remotely.

Sep

2025

How A2A Protocol Will Change Regulated Industries

You’ve probably seen the viral video where two AI agents start talking in English, then realize they’re both machines and switch to their own language made of strange sounds and signals. That was a live demo of A2A, the agent-to-agent protocol. Some immediately imagined apocalyptic “machines speaking to each other” scenarios. But if we strip away the sci-fi layer, this way of interaction has very real implications: it can radically simplify and at the same time complicate how businesses in regulated industries operate.

Sep

2025

FinOps Misused: You Focus on Efficiency at the Expense of Effectiveness

If you are in that group (or your partners or clients), you instinctively turn to FinOps with one goal: to bring the bill down. That reaction makes sense, but it also traps FinOps in the role of cost policing. What you need to ask is whether every dollar spent is driving outcomes that the business can feel.

Sep

2025

FinOps vs DevOps: A Startup Guide to Scaling Cloud with Speed and Accountability

You know the startup mantra: move fast, ship features, listen to users, and iterate quickly. The cloud makes this possible: no upfront hardware costs, instant scaling, and tools that let small teams operate like big ones. This speed is mainly powered by DevOps practices, which bring development and operations closer together to deploy software faster and more reliably.

Sep

2025

When Growth Consumes Itself: Why Generative AI Burns Billions Without Returns

In 2025, investors poured $33.9 billion into generative AI, convinced it could anchor the next wave of technological growth. The expectations rest on a familiar playbook: accelerating adoption curves, high-value enterprise contracts, and promises of productivity lift. The underlying financial performance tells a different story.

Sep

2025