India, Nov. 14 -- Open source technology really sparked a renaissance in data and analytics over the last 10 years: from data storage and management tech like Hadoop; to streaming data tech like Spark; and to languages for data science, advanced analytics, and machine learning, like R and Python.

Today, enterprise organizations are experimenting with and piloting machine learning and other artificial intelligence projects.

But even though open source sparked a new era of possibility and innovation, the technology offered has come as a DIY assemble-your-own toolkit. You need to put together your own enterprise-grade platform from a jumble of open source parts available. After all, that's how you did the pilot. While that may be how digit...