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Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
This week on Making Data Simple, we have Davit Buniatyan. Davit is founding CEO of Activeloop, he started his PhD at Princeton University, his research involved reconstructing the connectome of the mouse brain. In this research he dealt with large-scale unstructured data which was extremely expensive (amounting to millions of dollars) to manage. Later on, he realized that this problem is a real pain point, not only in the lab setting but also for many companies across industries. This made him think of a radically more efficient, and a machine-learning native way to work with data. The idea of changing how an ML team can create and manage datasets got him into Y Combinator, where he started Activeloop, a startup that has attracted the investment of prominent Silicon Valley VC firms and angel investors, and the attention of the open-source community, with the framework trending number 1 in Python on GitHub worldwide earlier this year.
2:05 – Davit’s experience
6:44 – What is your success criteria in the mouse connectome?
8:44 – What did you learn from this?
10:00 – Could this solve ALS?
13:19 – What is the problem you’re solving
17:17 – How do you prepare the data?
24:00 – Why are the naysayers wrong?
25:21 – What is the name of the technology?
31:19 – What problem have you not solved?
37:44 – What keeps you up at night?
38:42 – How are you finding talent?
41:06 – What do you do for fun?
Activeloop - Twitter
Davit Buniatyan - LinkedIn