The profitability of a battery depends both on its technical characteristics and on the decisions that determine how it is used. An energy storage system can charge when prices are low and discharge when they rise. It can also participate in…
How to assess the viability of a green hydrogen project with Decision AI
Green hydrogen has become a major focus of the energy debate. Governments, industrial companies and energy producers are exploring its potential to replace fossil fuels in hard-to-electrify activities, from certain chemical processes to fertiliser production, refining and other energy-intensive industrial applications….
What is a digital twin and what is it used for in manufacturing?
In today’s industrial ecosystem, intuition and spreadsheets are no longer viable tools for ensuring business survival. In this context, the adoption of dynamic technologies that make up what we have been calling Industry 4.0 for years is becoming increasingly decisive. The…
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…
Regulatory compliance with AI: from mandatory cost to competitive advantage in the pharmaceutical industry
According to a Deloitte report, 65% of pharmaceutical companies say that monitoring and maintaining regulatory compliance has become unsustainable without technological support especially due to the exponential growth of global regulations and the increasing digitization of quality control processes. A regulatory…
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…
Pharma 4.0: digital maturity in pharmaceutical industry.
Digitalization is a key factor and a prerequisite for the use of artificial intelligence in the pharmaceutical industry. Digitization allows the collection and analysis of large amounts of data, being an essential requirement for the development of precise and effective Artificial…
Prescriptive Analytics, the aeronautical industry’s next step towards Industry 4.0
The aeronautical industry has participated in digital solutions since its appearance, but not all. Acronyms like CAD, PLM, ERP, MES etc. are well known in the sector, whose companies have been implementing commercial tools as they emerged. However, prescriptive analytics has…
Optimization applied to the improvement of european air traffic control
An air traffic control system is not something that can be described as simple. If you add to that the fact that the European network manager has around twenty countries to coordinate simultaneously, things do not get any easier. Not very…
Air Liquide has selected Baobab
Air Liquide has chosen Baobab to develop its optimization platform in support of medium- and short-term business decision-making. Air Liquide is a global leader in the production of gases for industry (such as refining, chemicals, and metals), healthcare, and the environment….
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