Tristan Zajonc, cofounder of Sense Platform, gave a recent thought-provoking talk at Data Driven NYC. He spoke about the future of data science productivity. According to Tristan:

In the next 2 or 3 years, everybody doing data science should be using a data science productivity platform…a cloud-based data science platform.

In addition to the productivity platforms, the power methods will see some improvements. Here are 2 that Tristan mentions:

  1. Probabilistic Programming – matching of computer science and Bayesian statistics
  2. Deep Reinforcement Learning – making optimal decisions via deep learning

It is an exciting time for data science. I think the next few years will see much better productivity tools, workflows, and platforms. More on that in an upcoming blog post.

The other videos from Data Driven NYC are also available on Youtube.