Past Meetup

Big Data Analytics and Machine Learning

This Meetup is past

158 people went

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6:00 pm – 6:30 pm: Registration & Networking
6:30 pm – 7:00 pm: Data Analytics in the Gaming Industry
7:00 pm – 7:30 pm: Machine Learning for Big Data Cybersecurity
7:30 pm – 8:00 pm: Q&A

Lewis King, Lead Analyst for Mobile Gaming at Kixeye will talk about what it's like having recently joined the gaming industry, and how important data analysis is in the game development process. Examples from KIXEYE will be given to illustrate how data is used at every stage of development. An overview of KIXEYE analytics tools will be given, along with the tools they plan to leverage in the coming quarters. Lewis is the Lead Analyst for KIXEYE's mobile division. He helps game product teams and executives understand the massive amount of data produced by RTS games, using tools such as Hadoop and MySQL. Lewis holds a B.S. degree in Operations Research & Engineering from Cornell University, and worked as a management consultant before joining KIXEYE.

John Trobough, President of Narus (a subsidiary of The Boeing Company), will be discussing the importance of machine learning for big data cybersecurity solutions. With the growing volume of data flowing within and across networks, using human analysis alone no longer enables cyber experts to protect their organizations' critical data and network infrastructure. John will speak in depth about how Narus is pioneering big data security solutions that leverage machine learning. Additionally, John will walk through the company's partnership with academic institutions around the world and explore why broader trends in technology, like BYOD ("bring your own device"), and application proliferation are shifting the cybersecurity paradigm for organizations around the world.

This event is held at KIXEYE. KIXEYE is located at 333 Bush Street, 19th floor
San Francisco, CA 94104 Because this event is during business hours a NDA is required by everyone. Please note that we will end entrance into the event approx 30 -45 minutes prior to the event ending