Ideas on Data, AI and decision-making
Applied insights on data engineering, machine learning, generative AI, advanced analytics and business intelligence — for leaders who turn data into decisions.
95 articles
Is Your Company Actually Using AI? The 3 Levels Every Leader Must Know
In today’s business ecosystem, "using AI" has become the ultimate buzzword. However, there is a massive gap between those who simply mention the concept and those who truly understand the technological architecture they are implementing. Not all Artificial Intelligence is created equal. To build a…
How Companies Are Actually Using AI: What Gets Used… Gets Repeated
In the world of applied artificial intelligence in business, there’s a key distinction between what gets tested and what truly creates value. Many organizations experiment with AI: they run pilots, try tools, or explore isolated use cases. But that doesn’t necessarily mean transformation. Real…
In 12 Months, “Using AI” Won’t Be the Point
Artificial intelligence didn’t “arrive” as a brand-new tool you have to learn how to use. It quietly embedded itself into the applications you already rely on: search engines, online stores, productivity suites, internal systems, and customer service platforms. That’s why something interesting is…
Machine Learning: Learn Without Mistakes
Machine Learning in Your Everyday Life If, in 2026, you use a maps app to pick the fastest route, a platform that recommends what to watch, or a bank that asks for an extra verification step when something “doesn’t look right”, you’ve probably interacted with Machine Learning (ML). The issue is…
How technology enables scale without collapse
There comes a point where growth alone is no longer just “good news”. When everything is manual, growth brings chaos, errors, and burnout. What once worked starts to break under pressure, and every new sale adds complexity instead of momentum. The challenge is no longer how to sell more—but how to scale without collapsing.
Automating with AI: why not all automations deliver the same ROI
Today, everyone wants to “automate with AI.” The technology is available, tools are everywhere, and the promises are compelling. But not all automations create the same business impact. Before choosing a tool, there’s a more important question to answer: Which process should be automated first?…
Predictive Maintenance: Reacting or Anticipating?
In a company, not everything needs to fail for the impact to be significant. Sometimes it’s enough for one area to slow down without warning for the rest of the operation to start feeling it: delays, rework, rushed decisions, and unexpected costs. In modern organizations, operations don’t depend…
MCP: The Standard for Connecting AI Agents to Systems
By the end of 2025, models kept getting better. But the shift that’s most felt in 2026 isn’t “which model do I use?”—it’s what system do I build around it. Because when the goal is to move a real operation (data, processes, tools), the difference isn’t made by a benchmark: it’s made by friction.…
From dashboards to dialogue: a new way to make data-driven decisions
Conversational BI: from dashboards to decisions For years, companies invested in dashboards, reports, and scorecards to gain visibility into their business. And it worked… up to a point.Today, many leaders face a paradox: they have more data than ever, yet less clarity when it comes to making decisions. In key meetings, under operational pressure and
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