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…
The User Experience in Predictive Analytics: Simplicity and Speed in Making Better Decisions
Global digitalisation is undeniable and has become increasingly apparent in recent years. We are facing the fourth industrial revolution. This means, among other things, that we have to work with more and more data, requiring more complex techniques to analyze it, leading to the need to improve how information is displayed to the user and how the user interacts with digital products.
What is a solver? The Mathematical Engine that Solves Complex Problems
In Industry 4.0 context and, in general, the 4.0 world, appear products and services whose organisation poses extremely complex problems. Dealing with them well or badly can be the difference between a profitable business and an unprofitable one.
Three Essential Signs that Mathematics can help you Improve your Business Operations
The first step in developing an optimisation solution is to find out where there is a suitable scenario to work on, where and why a business process is lacking, and what are those indications that will help us to focus the shot, to bet on projects that will be clear winners.
The Pricing Problem
How can we know if we have set the optimal price for a product to achieve our business objectives and generate the most value for our company?
School Timetabling
Did you know that calculating university or college timetables is one of the most difficult problems to solve? In this post, we present the fundamental aspects of this problem and explain how we can improve the schedules of educational institutions.
Present and Future of Artificial Intelligence in Logistics – Round Table
Last 16th of December, baobab soluciones organised a round table together with the Innovation Centre for Logistics and Merchandise Transport (CITET) in which we had three executives from leading companies in the sector.
Autonomous Vehicles: A Potential Solution to the Last Mile Problem
The use of autonomous vehicles promises to achieve a significant reduction in the transport costs of the final section of distribution.
Machine Learning Automation Tools (AutoML)
What is AutoML? What tasks does it facilitate? What limitations does it have? Introduction to Automated Machine Learning technologies from the analysis of all phases of a Machine Learning project in production.
Artificial Intelligence in Logistics 4.0
The term “Logistics 4.0” was coined a few years ago in close association with the wider known “Industry 4.0” concept, which refers to successive industrial revolutions: from mechanization with steam engines, through electrification and computerization, and reaching the use of intelligent and automated systems based on data in the 4th revolution. In Logistics, the same evolution has been followed and it is now the moment in which Artificial Intelligence is beginning to be used to improve processes.











