Álvaro García Sánchez, Guillermo González-Santander de la Cruz and Antonio González Suárez, from the Baobab team, have contributed as authors to the new Springer Handbook of Data Engineering with the chapter “Predictive Analytics Models and Machine Learning”. The handbook brings together…
MTTR and downtime costs: the RAG model that turns manuals into actionable knowledge
A recurring challenge in the manufacturing and industrial sectors is the fragmentation of information. IDC analyses show that engineers can spend up to 30% of their workday searching for scattered data. To address this issue, adopting Generative AI technologies—specifically Retrieval-Augmented Generation…
Don’t waste resources: streamline your MRO processes with AI
Maintenance, repair, and operations (MRO) are at the core of industries like aviation, energy, and logistics. For years, managing these operations has been a complex task, plagued by high costs and frequent disruptions due to reactive maintenance. However, the adoption of…
AI-Powered Cobots: Revolutionizing Industry 4.0
How much does your plant’s productivity increase with Intelligent Robotics? How does this new scenario impact your factory costs?Collaborative robotics, driven by artificial intelligence (AI), is transforming the industrial landscape. Collaborative robots, or cobots, are tools designed to work safely and…
Smart industry summit: AI and digital transformation
According to Minsait’s report, 67% of industrial sector companies are already using Decision AI or Decision Intelligence in their decision-making processes. Recently, at Baobab, we had the opportunity to bring together industry leaders at our event, “Smart Industry: AI and Digital…
Can the cybersecurity of your smart factory be improved with AI?
We’ve all heard about IoT, sensors, connectivity—the buzzwords of Industry 4.0. Today, it’s clear that these technologies are no longer just a way to stay ahead of the competition—they’ve become a necessity for simply remaining relevant in the market. But with…
Maximize the success of your digital transformation initiatives with Explainable AI
Artificial intelligence has been transforming the way businesses and society function. However, its accelerated advancement has also raised concerns about the transparency and reliability of these technologies in decision-making processes. According to the 2024 Edelman Trust Barometer, only 54% of business…
Improve operational efficiency with Decision AI for infrastructure maintenance
Machinery and personnel form the backbone of operations, and preventing failures in these two areas eliminates potential production issues while safeguarding a company’s finances. This is where predictive maintenance comes into play, providing businesses with the ability not only to react…
Energy efficiency and data science: the essential combination for sustainability
The regulatory framework that puts on the table the 2030 agenda promotes an imminent transition to a more sustainable future. The link between energy efficiency and Artificial Intelligence (AI) is positioned as a promising fundamental alliance to transform the way we…
Artificial vision in the energy sector
Computer vision is a branch of artificial intelligence that focuses on training machines to interpret and understand the visual world in a similar way to how humans do. It uses algorithms and computational models to analyze and process images and videos,…
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