Why most Artificial Intelligence projects fail, and how to change this scenario
This question may seem simple, if you consider that the answer is that most projects are based on hypes approaching Artificial Intelligence (AI) solutions, mainly regarding the cognitive capabilities for solving complex or general problems. However, if we ignore this possibility, and …. Read More
Chaos, the perfect environment for disruptive innovations
Nobody, in rational argument, wants chaos, at least for themselves. And, for common sense, for the suffering and social problems that it has the potential to cause, as we are living today, I think that it should never be desired for any …. Read More
Joining intelligence and simulated reality in people and machines in the new normal Capital Market
The reality of the new normal is that it has never been more necessary to simulate the most varied markets, their features, and their actors. And tools for that are not lacking, leveraged precisely by this condition. And, unless you consider and …. Read More
From VUCA to IVUCA
Good times when the biggest problem was VUCA, an acronym created by Warren Bennis and Burt Nanus to bring up the Volatility, Uncertainty, Complexity, and Ambiguity of general conditions and situations. Unfortunately, I believe that we are living in an IVUCA, i.e, …. Read More
Combining the old and the new techniques to face chaos
Although they do not use modern intelligence and machine learning techniques, some older methods of analyzing complex problems can be useful in facing chaos. A good example of this is the Monte Carlo Method (MMC), which uses the brute force of a …. Read More
