This break turned out to be very productive. I managed to go through 2.5 books. When I started MLTrain I was very enthusiastic about helping all the engineers to adopt AI in their companies. Soon I realized that lack of AI/datascience adoption is mainly a business problem and has to do with changing the mentality on the executive level. Unfornutely the majority of the companies are not startups or tech giants that drive innovation. When you run a company that carries legacy products and has routine problems to take care, how do you make the turn to AI first? The book “What to do when machines do everything” is a great resource that describes the process step by step. That book is not enough though, because it describes what to do, once you are sold to the value of change. “The challenger sale” is a book that would help you complete the sale successfully. It was recommended by my good friend Molham Aref and I would never have thought I would have enjoyed it that much. Yes, this book is recommended even for theoreticians! I couldn’t have spent 4 days without reading a technical book. “Fermat’s enigma“ froze the time. Fundamentals are always priceless!