One of the most significant sales moments of the year is coming up. Everyone is preparing for this moment by loading warehouses, reinforcing teams in physical shops, reviewing e-commerce, data management, pricing, and picking or lead time to meet the expected demand. But are we doing it correctly?
In a single-price electricity market, a utility can - and should - work to optimise its energy sales. In this post, we will look at how artificial intelligence improves the decision-making process and can in the context of electricity markets.
Artificial Intelligence to Fight Fake News Collaboration with UPM, UOV and baobab soluciones, supported by RIS3, for the research and development of a public tool for the detection of fake news.
The industrial sector has always worked to reduce energy costs in production processes. At times when the price of energy is very high, this is even more important and can often lead to factory shutdowns while waiting for prices to fall.
As you have been able to read in several posts we have published, our work consists, among others, of the development of mathematical models, machine learning models and even visual computing or language understanding models.
The energy transition towards renewable energies is inevitable nowadays, and in this process, advanced and predictive analytics play a vital role for its correct implementation in electricity networks
While energy mix and technology improvements are the most influential aspects of power generation, advanced, predictive, and prescriptive analytics can play an important role in getting more out of existing or future installations.
Can Artificial Intelligence write a blog? Why has Natural Language Processing grown so much? What are its uses?
Within the framework of the National Artificial Intelligence Strategy, the Ministry of Economic Affairs and Digital Transformation has awarded a grant of 12 million euros to the Iberdrola-led consortium of which baobab is a member.