Abstract: 

MindsDB makes it very simple to incorporate Machine learning into today’s products.
Developers today are more aware of the capabilities of Machine Learning, however, from ideas of using ML to actual implementations, there are many hurdles and therefore most ideas of using Machine Learning never even start.
Thanks to MindsDB developers can focus more on:
-Understanding what problems/predictions are interesting for their products.
-What data can be of interest for a given prediction?

Less on: spending countless hours building models, making data fit into such models, training, testing, validating, tunning hyperparameters, .... MindsDB takes care of all that.

Bio: 

Jorge Torres Is currently Co-founder & CTO of MindsDB and a visiting scholar at UC Berkeley researching machine learning automation and explainability. He has worked for a number of data-intensive start-ups, most recently working with Aneesh Chopra (the first CTO in the US government) building data systems that analyze billions of patients records and lead to highest savings for millions of patients, he started his work on scaling solutions using machine learning in early 2008 while working as first full time engineer at Couchsurfing where he helped grow the company from a few thousand users to a few million. Jorge had degrees in electrical engineering & computer science, including a masters degree in computer systems (with a focus on applied Machine Learning) from the Australian National University.