One of the most important challenges that Energy Trading departments face is how to deal with uncertainty regarding purchase and sale decisions. In this post we will explain, with a very simple example, what it entails to optimize these decisions in uncertain volatile markets, where predictions are not sufficiently reliable.
Example of how digital transformation in two Peruvian hospitals began with small steps in the right direction.
A few years ago we published on this blog a riddle attributed to Einstein that only 2% of people are said to be able to solve. Here we explain how to solve it using prescriptive analytics.
Esther Fernández-Bravo, top of her class and 1st AECOC prize.
baobab soluciones is pleased to announce that we are now a Gurobi Premier Partner.
Prescriptive analytics bridges the gap between insight and decision and supports mobile data monetization.
Optimization and simulation are two very powerful tools that allow you to tackle complex problems and make better decisions.
The average times on the waiting list for surgical interventions by the National Health System (SNS) in Spain began to increase around the year 2012 and, after slight fluctuations, reached…
Although the word "trading" is usually associated with the stock market, in which Prescriptive Analytics is used extensively to optimize purchases and sales of securities such as stocks or bonds, it also exists in other markets, including energy.
The travelling salesman problem (TSP) consists on finding the shortest single path that, given a list of cities and distances between them, visits all the cities only once and returns to the origin city.