The company CB Insights has recently published a document named “Lessons From The Failed Chatbot Revolution”. This ominous title reveals a hard truth: chatbots have not been the revolution we expected.

A few days ago, Amazon Web Services organized AWS re:Invent, one of the world biggest IT events, focusing on everything Amazon has to offer. Among the great amount of novelties that were announced, some of them were very interesting for us. 

These days the COP25 Climate Summit is being held in Madrid. Many subjects are being discussed on the matter of a possible climate crisis, and how to face it. Has Machine Learning (ML) and Natural Language Processing (NLP) something to say about it? Surprisingly, yes, it does!

Is this the era of Fake News? We could say that fake news are one of the most prominent (and dangerous) phenomena on social media. Since they are spreading to traditional media as well, having a reliable way of identifying fake news is more relevant than ever.

All companies that have a large number of clients want to be “customer-centric”, always placing the customer as the center of their strategies. This translates into taking good care of them, promptly and 24/7, without increasing costs, if possible.

Data scarcity is one of the major bottlenecks that AI practitioners have to deal with when training production-level models. Obtaining additional data typically involves costly manual annotation processes which, as we described in a previous post are fraught with problems.