AI at the Edge: Segment 2
Red Hat Device Edge Technical Overview, Part 2 - RHEL
AI at the Edge: Segment 1
AI at the Edge: Segment 1 Video Series With consistent, reliable, and flexible infrastructure and tooling, Red Hat helps customers adopt AI at the edge. Red Hat’s collaborative, open source platforms allow customers to use their existing hybrid IT technology stack to implement AI at the edge to solve business challenges. From in-vehicles, devices, endpoints, and gateways to edge services, on-premise datacenters, and to the cloud—Red Hat’s ready-to-use AI/ML solutions provides customers the end-to-end support for managing industry-specific use cases at the edge, accelerating decision-making and improving operational efficiency. When customers are ready to implement an AI-centric approach across their organization, Red Hat has the expertise and robust hybrid platforms to support their modernization at the edge.
Presentadores
Daniel Froehlich | Principal Product Manager, Red Hat
Daniel works as a Principal Product Manager at Red Hat. He is responsible for defining and managing the Red Hat OpenShift edge related aspects. That includes MicroShift, Red Hat Device Edge and Single Node OpenShift products. He considers himself a catalyst to bring together the necessary resources (people, technology, methods) to make projects and products a success. Daniel has more than 25 years of experience in IT. In the past years, Daniel has been focusing on Hybrid Cloud and Container Technologies in the Industrial space.