This takes us to the most recent cycle, the Data Science / AI / Blockchain epoch. The final areas that have seen the most dramatic growth have been in machine learning and deep learning, areas that fall into the general domain of artificial intelligence (AI). In the 1970s, tech went through a period called the AI Winter, in which interest in artificial intelligence dried up almost completely. Funding into artificial intelligence won't stop altogether - think AI Late Fall rather than a full blown AI Winter, where the landscape will be dreary and grey, but not completely iced over. While it has nothing (much) to do with AI, industry standardization of components is a very large part of IoT adoption.

Source: Forbes January 04, 2019 04:07 UTC