Hybrid use cases to dominate machine learning in 2018, part 2

Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018. The following is part two of a two part interview (read part one). BDAH: As we've discussed, the multicloud is a reality for many of our clients. What would be some of the challenge of doing data science in the multicloud and how do you overcome the challenges? JT: Whatever is the driving force, the multicloud is happening.