Data is the most important element of artificial intelligence, but how is that data managed and stored? In this episode of Utilizing AI, Adi Gelvan of Speedb goes deep under the hood to take a look at the data engine along with Frederic Van Haren and Stephen Foskett. Facebook’s RocksDB provides the basic storage for many webscale projects, managing metadata in a massive scale. Because of the inherent limits of RocksDB, most cloud applications shard data across many data engines. But Speedb takes a different approach, bringing more advanced storage technology to build a compatible data engine. A good data engine can massively improve overall performance, and data scientists and AI engineers would be wise to consider the storage engine, not just the processing components and model

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