AI intersects with edge computing at the enterprise edge for a subset of applications & use-cases, and for other use-cases it builds a data-lake for AI computations to be performed in the cloud. Correlated decision making with robotic process automation (RPA) has transformed to an AI-ML based analytics that allow anomaly detection, predictive and preventative network and security handling of events, and result in better business outcomes. Video analytics, and AR/VR use-cases require more local processing, whilst Production and QA type of infrastructures a mix of local and cloud based AI-based predictive analytics. In this session, we will describe real-world AI-based scenarios, highlighting the relevant technical challenges, security considerations, solutions adopted, business benefits and future directions with AI/GenAI.
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