[Deep Learning] Fresh Data in Days Instead of Months
[Deep Learning] Fresh Data in Days Instead of Months


91% of teams take at least 1 month to create their first “Seed” Dataset - and many months to get into Beta. Learn what the top bottlenecks and blockers causing this are. Learn how to solve them - reducing the process from months to days.

According to a July 2020 survey, 97% of projects iterate on their Datasets. 85% construct more than 1 Dataset. Yet only 12% use software to manage this process.

First we will explore the common blockers with creating and updating a single Major Dataset. Then we will zoom out and look at how many Datasets are needed to ship a Beta. We will introduce a novel non-blocking way to create Datasets in days instead of months. 10x your Development speed by digitizing the manual processes and using a novel Deep Learning specific Database.


Anthony is the lead engineer on the Training Data Product and Founder of Diffgram. Prior he was a Data Engineer at Skidmore, Owings & Merrill and Co-Founded DriveCarma.ca - an Automotive Data Platform.

Open Data Science




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