The stunning successes of artificial intelligence would not have happened without the availability of massive amounts of data, whether its smart speakers in the home or personalized book recommendations. And the spread of AI into new areas of the economy, such as AI-driven marketing and self driving vehicles, has been driving the collection of ever more data. These large databases are amassing a wide variety of information, some of it sensitive and personally identifiable. All that data in one place makes such databases tempting targets, ratcheting up the risk of privacy breaches.

ABBYY has announced the launch of NeoML, an open-source library for building, training, and deploying machine learning models. Available now on GitHub, NeoML supports both deep learning and traditional machine learning algorithms.