Opportunities & Challenges

There is an exponential increase in the technological complexity required to develop and deliver new products and services integrated with AI. AI algorithms are resource-heavy and the accuracy of AI algorithms is crucial for prediction and decision making.

AI is widely used to improve business and bring in consumer context be it in Automotive, Home appliances, Retail, Healthcare, or Media. Intelligence brought on to the device (Edge) can be very effective and productive. AI processing at the Edge has allowed semiconductor companies and electronic device manufacturers to redefine themselves with innovative solutions. Edge AI is witnessing a surge in adoption with AI automation tools, accelerators and associated technology stacks facilitating wider adoption and a faster development cycle. AI on-chip brings efficiency through decentralization of data processing from the cloud, thereby providing low latency, data security, and remote monitoring capability with reduced operational costs over cloud services.