What does it really take to build a data product? Recall and relevancy are only parts of the challenge. In fact, an entire new approach is required to build consistently great data products. This includes new paradigms of design, web development, engineering, and testing that allow a team to prototype for 1x, build for 10x, and engineer for 100×. I’ll explain the Data Jujitsu approach which is an agile approach that supports all these scales.
Dr. DJ Patil has been the VP of Product at RelateIQ and the Data Scientist in Residence at Greylock Partners.
He has held a variety of roles in academia, industry, and government, including Chief Scientist, Chief Security Officer, and Head of Analytics and Data Teams at the LinkedIn Corporation. Additionally he has held a number of roles at Skype, PayPal, and eBay.
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