Empowering Digital Twins with Streaming Analytics

Combining intelligent streaming analytics with real-time digital twins for aggregate analysis offers several benefits in a variety of real-world applications. Digital twins are finding broader use and playing a more important role in innovation. Many digital twins rely on continuous intelligence (CI) and artificial intelligence (AI) to ingest streams of data from sensors. The real-time analysis of that data use then used to make sense of current conditions, the status of different elements in a system, and determine what actions should be taken (if any). Their rising importance was noted in a recent MIT Sloan Management Review article.