Virtual Panel: Data Science, ML, DL, AI and the Enterprise Developer

AI is making a huge comeback. It's fascinating to be part of an era where a machine (or a cluster of machines) can take on a chess champion or a Jeopardy contestant and be able to win those contests handily. The increased ease of availability of computing and huge amounts of data is helping immensely. In this seemingly futuristic battle of man versus machine, enterprises have realized that they are sitting on a wealth of data that has not been effectively used so far. Whether it's predicting buying patterns or detecting faults in consumer equipment in advance, it's clear that adapting AI techniques would yield a significant competitive advantage to enterprise solutions. The race for cognitive solutions has thus already begun. Are microservices really just "SOA done right"? Download this exclusive O'Reilly Report to find out. There are many reasons why enterprises are playing catch up. First and foremost, developers consider AI in the same realm as rocket science i.e. very hard to learn and with a significant learning curve. The traditional methods of software development break down, since a set of input(s) might yield different output(s) depending on other ambient factors, and it would be hard to do test driven development, for instance.