Transforming cx with embedded real-time analytics

Stripe relied on embedded real-time analytics to handle peak Black Friday traffic and to stop millions of fraud attempts, enabling services such as usage-based billing and inventory monitoring. Firms that operate in real time report stronger revenue growth and margins, according to an MIT Center for Information Systems Research and Insight Partners survey.

A generative Artificial Intelligence approach to predicting chemical reactions

MIT researchers developed FlowER, a generative Artificial Intelligence system that uses electron-flow matrices to enforce conservation of mass and electrons when predicting chemical reaction mechanisms. The open-source model improves validity and mechanistic fidelity compared with prior approaches, while noting limits on metals and catalytic cycles.