Machine learning: platforms and developers will set the pace

Despite having removed its search engine from China, Google appears to be actively promoting its TensorFlow machine learning platform there, rightly seeing it as the market of the future for this service. After appearances at several private events, use in universities and by opinion leaders TensorFlow looks set to become the development platform of choice for students, academics and workers, in an environment where the development of all things machine learning is a national priority, and where there seem to be fewer privacy limits on data generation. Google's interest highlights the importance of the burgeoning machine learning market, one that is taking shape as we speak. This is the top priority at Google: the company believes it will define competitiveness, with companies redefining their activities around it, while having to provide competence and skills in machine learning to all staff at practically all levels: acquisitions, platforms, a presence on third-party platforms such as Amazon's AWS and an apostolic zeal for a tool that many developers who use it regularly criticize harshly, but one that Google has committed itself to obtaining leadership in. The future of machine learning will largely be determined by developers, who will adapt applications to make use of it.