Submission #16: Intelligent applications on OpenShift from prototype to production ================================================================================== Authors ------- 1. Rebecca Simmonds (Red Hat) 2. Mike McCune (Red Hat) Abstract -------- Users demand tailored, dynamic, and constantly refined experiences: they expect intelligent applications that will learn from data and improve with longevity and popularity. Application intelligence can take many forms, including anomaly detection, recommendations, natural-language understanding, and speech and image recognition. All of these capabilities need to be put into production and managed alongside conventional application components. In this session you will learn how OpenShift enables cross-functional teams to develop intelligent applications. We’ll cover microservice architectures for creating, sharing, deploying, and reusing intelligent application components as containerized microservices. We’ll discuss how development teams can add intelligence to applications without dedicated AI developers. The talk will conclude with an extended case study showing just how OpenShift enabled a senior engineer to go from prototype to production with an intelligent application. You will leave with a solid inspiration for how to take your applications to the next level with intelligent features and concrete suggestions for getting started with OpenShift.