Declarative Machine Learning Alone isn’t Enough for the Data Science Community
Use cases for ML are seemingly infinite, from automatic responses to queries and automated stock trading, to recommendation engines and customer experience enhancements
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Jorge Torres
Jorge Torres is the Co-founder & CEO of MindsDB, the leader in in-database machine learning. He was also a recent visiting scholar at UC Berkeley researching machine learning automation and explainability. Before founding MindsDB, he 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 patient records and lead to the highest savings for millions of patients. He started his work on scaling solutions using machine learning in early 2008 while working as the 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 master's degree in computer systems (with a focus on applied Machine Learning) from the Australian National University.
Data Storytelling: Meshing Narrative Techniques with Data Science Smarts
Alongside the explosion in enterprise data analytics is the growing realisation that insights, without action, are not enough.