Companies today are incorporating artificial intelligence into every corner of their business. The trend is expected to continue until machine-learning models are incorporated into most of the products and services we interact with every day. As those models become a bigger part of our lives, ensuring their integrity becomes more important. That's the mission of Verta, a startup that spun out of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). Verta's platform helps companies deploy, monitor, and manage machine-learning models safely and at scale.

Oracle has released an open-source tool called Graphpipe to facilitate the deployment of machine learning models. Graphpipe will simplify the use of machine learning for mobile apps and IoT devices, end user services, and internal corporate functions. Graphpipe could obviate the need for developers to create custom APIs to deploy AI models or to tailor their work to a specific framework. "Graphpipe is an attempt to standardize the protocol by which you speak to a remotely deployed machine learning model, and it includes some reference servers that allow you to deploy machine learning models from existing frameworks very easily in an efficient way," says Oracle's Vish Abrams. Although developers have several framework choices to build AI models, fewer options exist for how to serve or deploy AI models, Abrams says.