In recent years, the use of certain terms to refer to new technology trends has become normal. We can find plenty of news on artificial intelligence (AI), machine learning, Big Data and advanced analytics, for example. But what does each of these terms mean? And, what do they mean in a business sense?
Description For the Challenge de Diciembre 2014 – Enero 2015 , Decision Management Community web proposes participate in the “UServ Product Derby”. Over 10 years ago BR vendors had a chance to demonstrate their product capabilities at Business Rules Forums, using the same use case known as “UServ Product Derby”. The majority of BR vendors openly competed…
On February 26th, Javier Lafuente, CEO of decide soluciones, together with IBM presents the webinar “Optimizing replenishment processes in the Fashion Industry”.
Stochastic Optimization seeks the best decision in a scenario involving random events, those that depend on chance, whether those events are product prices, task durations, the number of people queueing at an ATM, the number of breakdowns in a fleet of trucks, or even the adoption of regulations.
When it comes to trying to apply an agile methodology to our projects, we usually ask ourselves whether it is the right decision, whether it is the right project to use this method. In this article, we shall try to offer some keys to identify whether a project is capable of taking advantage of everything this type of methodology has to offer.
In today’s globalised world, where we are competing against many different companies located in various continents and with limited resources (both material and financial), businesses need to react quickly to new challenges and situations in order to be as competitive as possible.
In general, studying the properties of linear systems and their solution is much simpler than for non-linear systems. Throughout history, linearization of functions around certain values is a highly used technique to analyse the performance of non-linear systems.
In previous entries we saw there are cases in which Integer Linear Programming is not the most appropriate approach to solve routing problems, and we proposed the option of using metaheuristic algorithms to obtain feasible solutions, and in many cases close to the optimal solution.
As already mentioned in this blog, integer linear programming is often not useful in the real world to find the optimal solution to routing problems.One of the most common metaheuristic techniques to solve this problem is known as Ant Colony Optimisation (ACO).
After reading Puget’s post, I decided to write this one, where I will try to explain the difference between Predictive and Prescriptive Analytics and, within the latter, the difference between a System based on Business Rules and one based on Optimisation.