"Advanced Analytics is an umbrella term for a group of high-level methods and tools that can help us get more out of the available data, using predictive modeling, machine learning algorithms, deep learning, business process automation and other statistical methods to analyze business information from a variety of data sources."

"The new generation of BI tools allow greater agility in implementing solutions and in their use by adopting intuitive interfaces. This evolution is continuous and looking a little into the not-too-distant future, we will see the consolidation of the concept of Augmented Analytics with the appearance of virtual BI assistants, analogous to the personal assistants we already know, such as Alexa, Siri, or Google Assistant. However, instead of looking on the internet for answers to the questions they are asked, they will do so in the analytical models of organizations."

"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 Although this might be true and reflected in many Big Data definitions, I would like to state that this is an outdated concept and probably the last concern for anyone that is about to start a Big Data project."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."