Machine learning is fast becoming a ubiquitous technology—but if you don’t fully understand what it is and how it works, you’re not alone. It’s an evolving idea with complex functionality.
But our guests on this edition of UpTech Report figured out a way to conceptualize machine learning in a way that is easier to understand and apply in real-world settings.
Jorge Torres and Adam Carrigan are the co-founders of MindDB (CEO and COO, respectively), a company that treats machine learning as a database layer, allowing you to retrieve predictive analysis by performing a simple SQL query. With their technology, obtaining insights on future sales is as easy as checking your inventory.
On this edition of UpTech Report, Jorge and Adam explain how their implementation of machine learning works and its intriguing potential.
More information: https://mindsdb.com/
Jorge Torres (Co-founder and CEO of MindsDB) is an entrepreneur, academic, AI/machine-learning expert, and Visiting Research Scholar at the University of California, Berkeley. Before Co-Founding MindsDB Jorge was a senior software engineer at CareJourney and Skillshare and the second full-time developer at CouchSurfing.com – a platform he helped to grow from a few thousand to a few million users. Jorge specializes in creating software that transforms cultural exchange and is passionate about democratizing Machine Learning. His new venture MindsDB completed the YCombinator Accelerator program in March 2020 and recently announced their $4 million seed funding round led by OpenOceanVC.
Adam Carrigan (Co-founder and COO of MindsDB) is an entrepreneur and former Management Consultant at Deloitte. After completing his studies at the Australian National University and the University of Queensland. Adam completed his dissertation at the University of Cambridge – specializing in the use of NLP to predict equity pricing. With significant operational experience in various industries and extensive knowledge in finance, marketing and strategy Adam co-led his newest venture MindsDB through the YCombinator accelerator and has recently announced $4 Million in seed funding.