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Baobab Sunset: celebrating fifteen years with the people who have been part of our journey

This year’s Baobab Sunset was especially meaningful. In addition to bringing together clients, partners, and friends once again, the event marked the celebration of Baobab’s 15th anniversary, shared with many of the people who have been part of our story. The…

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GenAI vs. Decision AI: understanding the differences and applications

I’ve spent over seven years leading optimization projects across logistics, energy, retail, manufacturing, and pharma. Throughout this time, I’ve noticed a recurring theme at the start of almost every engagement: companies arrive fully convinced they need “Artificial Intelligence,” yet they lack…

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Keys to managing Artificial Intelligence projects: why aren’t they like traditional projects?

Artificial Intelligence (AI) has ceased to be a promise and has become the engine of modern efficiency. Today we find it everywhere: from recommendation systems that decide our next series, to virtual assistants that manage schedules or predictive models that anticipate…

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The danger of averages in business decisions

How Bayesian inference enables decisions with risk-adjusted metrics. Let us start with a simplified example that allows us to isolate a common problem in business decision-making. Imagine a purchasing committee that must award a six-month logistics contract for 15,000 shipments, with…

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Introducing Baobab AI Hub: bridging academia and industry

On February 12 and 13, we held the first Baobab AI Hub meeting. This initiative formalizes a stable collaboration network between Baobab and a group of leading professors in optimization, operations research, and advanced analytics. The Hub is not conceived as…

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Decision AI: the real impact on strategic and operational decisions in industrial sectors

In today’s industrial landscape, having access to data is no longer a competitive advantage; the real differentiator lies in the decisions made with it. According to McKinsey’s The State of AI in 2025 report, leading industrial organizations have moved beyond basic…

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Modelos explicables de IA

When understanding AI makes the difference: explainability as a driver of trust and growth

Artificial intelligence is transforming the way companies make decisions. From banking to manufacturing, more and more organizations are using AI models to anticipate, optimize, and compete more effectively. One of the concepts that emerges when we talk about AI is machine…

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How AI helps banks fight fraud?

Credit card fraud is one of the biggest threats to the financial system. In the European Economic Area alone, losses reached around €2 billion in the first half of 2023, according to a joint report by the ECB and the EBA….

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Decision AI: where business reality meets theory — over a decade of getting it right

On August 18, 2025, Fortune published a hard-hitting piece: according to the MIT report The GenAI Divide: State of AI in Business 2025, 95% of generative AI pilots in companies are failing to deliver real business impact (read the full article…

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Baobab AI, Certified Gurobi Training Center in Spain

At Baobab AI, we continue advancing our mission to help companies always make the best decision. Today we are taking that commitment one step further: we have become a Certified Gurobi Training Center, placing us among the small group of companies…

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