Embedded AI

Embedded AI refers to the integration of artificial intelligence (AI) capabilities directly into hardware or software systems, devices, or products. Rather than relying on external servers or cloud-based services for AI processing, embedded AI brings the power of AI algorithms and models directly to the device or system where it's needed. This enables real-time processing, reduces latency, enhances privacy and security.

Embedded AI is critical to retain and enhance existing functionalities for workflows. Enterprise workflows, as discussed earlier, are run through a collection of software applications. These are feature- and functionality-rich applications that have evolved to a mature stage over the past few decades. Increasingly, they are becoming service- and cloud-based. To bring AI to such workflows, it is essential that enterprises embed it within existing workflows rather than creating new ones. The natural way to achieve embedding is through API-based integration. This type of embedding is critical to rapid adoption because it naturally retains existing functionalities while making them AI-powered. ​