The use of autonomous vehicles promises to achieve a significant reduction in the transport costs of the final section of distribution.
Game theory can provide a valuable point of view for decision making. On a daily basis, each company faces complex decisions about its operations. For some of these decisions, the outcome of the decision is not conditioned by the decisions of others, but in many cases, it is. The result not only depends on the action or strategy adopted but is also affected by the decisions of others.
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.
Federated learning is the set of techniques that allow training Machine Learning models without sending users data from their devices.
Computer vision is a set of techniques that deal with how computational processes can obtain high-level information from digital images or videos, trying to understand and automate tasks that the human visual system is capable of performing.
David Sánchez is the latest talent to join baobab. Get to know him better in this interview.
Climate crisis, energy transition, new mobility, digitization, e-commerce boom, demographic growth, material transition, national and supranational strategic lines ... these are challenges and opportunities typical of nowadays to which the ports of the world are looking for an answer.
All companies, especially the larger ones, are undertaking an unstoppable digital transformation process. And it is not about incorporating technology for its own sake, but for their own survival: companies that will fall behind will disappear. Among the most disruptive technologies is Artificial Intelligence with Advanced Data Analytics, which is playing an ever more important role in this digital transformation.
The Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science is considered as the Nobel Prize in its field.
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.