"While global productivity growth seems to slow down steadily on average, a closer look shows clearly that the most agile and innovative companies, the frontier firms, are accelerating their competitive advantage. To which one does your company belong? Are you leading Digital Transformation or still trying to catch up?"

"It does not matter how deep your learning is; how big your data is. Copying whatever the human brain is doing does not lead you anywhere. It is straightforward to show that whatever inflationary system we are dealing with - doesn’t matter if it is the universe of galaxies, subatomic particles, economic agents – that system will be interconnected and highly heterogeneous. Those systems cannot be learned, even if we try to assume them flat Euclidean geometries. And it is not only artificial intelligence that is on hold due to this problem"

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 Although this might be true and reflected in many Big Data definitions, I would like to state that this is an outdated concept and probably the last concern for anyone that is about to start a Big Data project."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