Track 4: AI, DL & ML

Details on this session will be announced shortly.

Enterprise IT is in “perpetual beta” mode. The job is never finished as needs evolve, expand, and embrace new areas. There are some general strategies and practices that exist within any business that has customers — including, of course, health care. One of those is the use of containers within new cloud-native applications and services. This session examines why containers are essential and what they offer in terms of flexibility, scalability, reliability, and creation of intuitive user interfaces that can accommodate AI/ML/Predictive functionality as well. Details on this session will be announced shortly.

Edge Computing builds upon a decade and more of distributed cloud-computing architectures to place compute, storage, and networking where it’s needed. Some applications and services may need its resources in a single location; others may need it in as many as 100 locations. This session describes how Edge Computing can be thought of as a front-and-center resource for a vast number of use cases, large and small, wherever highly flexible, adaptable resources are required.

IoT sensors deployed in many different ways—and the emerging edge computing architectures that support them—show great promise in the world of medical services. This session from a prominent Red Hat Technology Evangelist and long-time Cloud Expo speaker addresses the promises and challenges of connected devices in the medical spaces and shares repeatable patterns that are starting to emerge.

Details on this session will be announced shortly.

Details on this session will be announced shortly.

Details on this session will be announced shortly.

Details on this session will be announced shortly.