Big Data technology was created by Yahoo and two companies came out of Yahoo-Cloudera and Hortonworks. Those 2 companies merged in 2019 to better compete with cloud providers like AWS. I was a Vice President in Hortonworks, responsible, for Hortonworks Data Platform (~80% of Hortonworks revenue)-the classic Big Data distribution that was adopted by Global 1000 companies such as PayPal, Target, GM, Ford, Exxon, Goldman, JPMC, etc. During my tenure, we worked with a variety of Big Data use cases across global leaders in manufacturing, Automotive, Energy, Finance – pretty much any vertical you can imagine. One common theme I saw across the board – was all of these companies had large Data Science teams, and access to LOTS of data, which their internal teams used to create AI solutions for quality inspection, pricing, forecasting, predictive maintenance, etc.
But the majority of the companies in the world don’t have the luxury of an in-house data science team and access to lots of data. The business impact was that they were not able to undergo the “AI transformation” that the big companies were. This left them less competitive, missing out on opportunities and potentially hundreds of millions left on the table each year- which got me thinking – how can we create a Data Science team in a box? And that’s when Borde was born. We first set off to solve the problem for the “non-Fortune 1000” companies, but as we proceeded we saw multiple opportunities for the Enterprise as well.