Mary is currently a Java Developer Advocate at IBM, specializing in Reactive Java systems. She started working as a software engineer with C and Unix, then got into Java, Open Source, and web development in the new Millennium, and now she is venturing into Reactive, Mobile, and the DevOps space. In her previous incarnations, she worked for several technology product companies in the Route 128 Boston Technology Corridor as well the San Francisco Bay Area. She now resides in the Greater Chicago area, and is an Executive Board member and the Director of Meetings for the Chicago Java Users Group (CJUG). She is also an active co-organizers for the Big Data Developers in Chicago, Chicago Cloud, and IBM Cloud Chicago meetup groups. Mary continues to be amazed by how software innovations can dramatically transform our lives. Despite the many challenges in an ever-evolving technical world, she gets energized by the constant change and believes that she has uncovered the pathway to stay young. She can’t wait to see what the next tech wave will be like.
Today the adoption of Machine Learning is enormous. We use it almost everywhere: on clusters, on our phones, on hand watches and even on the teapots. But, who knows how challenging could be the development of the continuously improved (or even real-time) machine learning. Servers' capacity, stability, performance, along with a proper ML algorithm selection and many other properties must be taken into account. In this presentation, we will be demonstrating bots education for multiplayer Pacman game. We will show how elegant could be the development of such a problem with Kafka, Akka, RSocket and IBM Watson.
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