Programming bubble will pop. Automated Machine learning is taking over. Even at google, Jeff Dean has recently stated that his Perceptual AI project is aimed at reducing feature engineering in their machine learning projects. In plain terms this means eliminating the need for programming in their search engines and other machine learning focused projects like google now and google goggles (the mobile app, not google glass). The only programmers left will be to manage cloud computing infrastructure and front end programmers. As things like siri and google now take off, front end programmers will also be in less demand. Microsoft, Apple, and Amazon are also increasingly focusing on machine learning. Automated analysis of text will take over the role of sql databases as demonstrated in IBM watson. In manufacturing, the role of programming also diminishing as vision guided robots like Baxter by Rodney Brooks's team take off.
All this is a good thing though, programming is slow and data is agile, as talked about by Peter Norvig in his startup school 2008 speech http://www.youtube.com/watch?v=LNjJTgXujno
Startups should aim at doing as little programming as possible and leaving it to data crunching.
All this is a good thing though, programming is slow and data is agile, as talked about by Peter Norvig in his startup school 2008 speech http://www.youtube.com/watch?v=LNjJTgXujno
Startups should aim at doing as little programming as possible and leaving it to data crunching.