Abstract: Know your customers—to keep an eye on them or to serve them better. Harnessing AI to streamline data harvesting for deeper insight-driven business decisions and rules helps organizations do both. See our demos that show both use cases based on the same hybrid cloud platform built completely from open source software.
One demo shows how to augment batch and real-time transaction processing with analytics and machine learning models derived from data and then how to integrate into investigations and suspicious activity reporting.
The second demo shows how to maintain a 360-degree view of the customer over various digital channels for communication, payments and any number of transactions by creating event-driven architectures for immediate response to customer situations. Embedding into these architectures AI and ML, and rules-based decision management can dramatically improve the customer experience
Bio: Sadhana is a Specialist Solutions Architect at Red Hat. She has extensive experience in creating solutions for Banking, Healthcare and Insurance customers across the globe. With Interests ranging from Automation to Enterprise Integration, her passion is creating solutions and documentation around technology and real-world problems in a manner that is easy to assimilate and extend.
Specialist Solutions Architect | Red Hat