MindsDB, an open-source company that applies machine learning to databases, was named Forbes's AI 50 list. Forbes' AI 50 is a list of private, U.S.-based businesses that impact artificial intelligence. By taking explainable machine learning to the source of the data, MindsDB reduces the complexity of machine learning workflows. Jorge Torres, MindsDB's co-founder, and CEO is honored to be named to Forbes' AI 50 list as one of the industry's leading innovators. Torres believes that by accelerating machine learning development speed, lowering costs, and enhancing model accuracy insight, they will help future AI innovators.

If you missed the live event, you can watch the complimentary recording and download the slides by filling out the form. Jorge Torres, CEO of MindsDB, has co-hosted the webinar with Borne to demonstrate how organizations can reduce machine learning complexity by bringing models directly to the data source. Using standard SQL queries and a new type of database table called AI Tables, users can apply machine learning models straight in the database to automatically generate predictions as simple tables.

Machine learning is one area that cannot succeed without data. Traditionally, machine learning frameworks read it from CSV files or similar data sources. This brings an interesting set of challenges because in most cases the data is stored in databases, not simple raw files. It takes time and effort to move data from one format to another. Additionally, one needs to write some code (usually python) to prepare the data just like the ML framework expects it.