Scaling AI at the Edge

The intersection of Artificial Intelligence (AI) and edge computing is resulting in a fundamental change in how we perceive, access, learn from, and employ data across a wide range of industries. The need for edge computing, or using a distributed computing architecture to shift data processing and storage closer to where the data is created to provide faster access to insights, is critical for low latency, privacy, and cost-effective movement of data. Despite all the advances, scaling of AI at the edge remains a challenge with many deployments stuck in the pilot phase. In this talk, we will discuss what is AI at the edge, its challenges, and what it takes to reach scale deployment.