"When we talk about Big Data, it is still common to hear that Big Data is about processing large volumes of data. Although this might be true and reflected in many Big Data definitions, I would like to state that this is an outdated concept and probably the last concern for anyone that is about to start a Big Data project."

"Managers getting into Artificial Intelligence should not surrender to simple explainability because it means limiting the goals to elementary tasks. The value of AI application is, naturally, behind those simple tasks. It is on building a representation of our business environment. What AI implementations mean is developing and improving the company's capabilities in understanding those representations because that would lead to an indirect but solid Artificial Intelligence."

"The 4th Industrial Revolution is a complex and multi-factor process which blurs the classical boundaries between the physical, digital and biological worlds. It brings together advances in technologies like Artificial Intelligence (AI), Big Data and Analytics, Blockchain, Robotics, the Internet of Things (IoT), 3D Printing, Genetic Engineering or Quantum Computing."

"Optimization systems are a reality, feasible and reliable. The question then becomes: is all this added complexity necessary to answer the needs of day-to-day operations? Human know-how and experience can go a long way towards implementing a good-enough solution without incurring extra costs, but there are decisive benefits to using systematic optimization algorithms."

"Unstructured data does not have, in fact, any defined relationships between data points and is stored typically in a non-relational database, or a data lake, depending on the structure of the non-relational database. Unstructured data is difficult to analyze and withdraw value of unstructured data often involve the analysis of little datasets."

"Demand Forecasting should be included on the agenda of any organization that aims to have a current and clean commercial operation, but also better risk management, maximizing the organization's financial results and competitiveness.
Forecasting models are therefore essential to optimize planning and minimize losses, allowing you to understand the specific needs of what to produce, for what customer profile, when and with what priority. And all of this at the right price. Something that will certainly please organizations’ stakeholders."