Data Science Productivity Platform

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.

[youtube https://www.youtube.com/watch?v=_AhX30ZAC2w&w=854&h=510%5D

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

About Ryan Swanstrom

Creator of Data Science 101

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