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: Marius is a Chief Solutions Architect in the Financial Services team at Red Hat, where he acts as trusted advisor on industry trends, technology strategy, and best practices to more than 30 Fortune 500 banks in the US and Canada. Using his expertise in modern application development and data strategy, Marius is helping customers accelerate their digital transformation using artificial intelligence and machine learning techniques.