Database technology evolves to combine machine learning and data storage

When Bob van Luijt, the CEO of SeMI Technologies, looks at the history of databases, he highlights a few distinct waves. First, there was the world of SQL, where all the data fit neatly into rectangular tables. Then came the NoSQL revolution that brought the flexibility of the document model, where each entry didn't need to have the same fields. Now, his company is bringing Weaviate to the market as part of a wave of AI-centric databases that merge the power of machine learning with data storage. The new model offers not just the potential for tapping the power of AI algorithms, but also a more flexible search engine that isn't locked into searching for exact matches.