Pat McGarry is an edge computing pioneer and expert in heterogeneous computing technologies moving beyond von Neumann models. He leads the team that architected the world’s first small form-factor product to deliver ultra high performance and efficient IoT data search and analytics at the edge. He brings extensive technology and leadership experience in hardware and software engineering to his role as Vice President of Engineering at Ryft. He joins Ryft from Ixia Communications, where he was responsible for the company’s Federal security systems engineering programs. During his tenure at Ixia and BreakingPoint Systems, Pat spent several years working in the cyber security industry within the DoD and the Intelligence communities conducting experimentation and analysis of cyber-related performance and security concerns on arbitrary network infrastructures. Prior to BreakingPoint, Pat held key roles in product and engineering management in the realm of embedded systems design, network systems analysis and design, and cyber security.
IoT data loses value when it can’t be analyzed fast enough and that means taking real-time analytics closer to the source of data at the network edge. The seemingly impossible challenges associated with edge computing are forcing organizations to re-think data search and analysis tools in an attempt to instantly extract meaningful intelligence from a broad range of diverse IoT data. All while reducing real estate and power requirements to a small fraction of conventional tools.
The IoT Slam 2015 closing keynote will be presented by Pat McGarry, a pioneer in the world of edge computing. This session will provide practical insights into the five key obstacles that trap IoT insights beyond the reach of most enterprises. Pat will examine how big data innovators in a range of industries are rethinking the way they leverage IoT sensor and video data to bring advanced services to customers, streamline operations, harden security and reduce costs. Pat will provide a glimpse of how to use business-centric APIs and heterogeneous computing platforms to overcome roadblocks to IoT success.
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