Cisco: IoE - Using Elasticsearch to Unlock an Analytical Goldmine

The true value of IoE starts to be realized not when you connect things, but when you are best able to use the data generated by those things. Not only is the final impact of a device event important, but the ability to analyze the cascading effects felt throughout the device ecosystem and different layers of the business is paramount. The Cisco Analytics Incubation Center developed a real time, data-driven, and rules-based framework to identify these cause-effect relationships. This talk will showcase how Elasticsearch has helped make it easy to utilize IoE data in real-time, and how critical it is to do so given the flood of IoE device data expected in the future.

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The true value of IoE starts to be realized not when you connect things, but when you are best able to use the data generated by those things. Not only is the final impact of a device event important, but the ability to analyze the cascading effects felt throughout the device ecosystem and different layers of the business is paramount. The Cisco Analytics Incubation Center developed a real time, data-driven, and rules-based framework to identify these cause-effect relationships. This talk will showcase how Elasticsearch has helped make it easy to utilize IoE data in real-time, and how critical it is to do so given the flood of IoE device data expected in the future.

Vikram Kalyanaraman

Vikram Kalyanaraman is a Senior Product Manager at Cisco's Analytics Business Unit, responsible for the software product, Connected Analytics for Network Deployment. Previously, he was a Solution Architect at the Analytics Incubation Center where he defined the architecture for several analytic solutions. Vikram's passion is in using analytics to drive business outcomes. For R&R, Vikram indulges in music, audiophilia, and photography.

Connie Brett

Connie Brett, Ph.D. is an accomplished technologist curating projects in the Analytics Incubation Center for Cisco's Analytics Business Unit. She leads a data science team and administers a custom hardware-based lab containing the latest analytics and big-data processing tools. Connie's passion for creating insightful analytics coupled with extensive industry experience drives her relentless pursuit of new ideas; she finds increasingly disruptive ways to agglomerate disparate tools and technologies to solve a variety of analytics problems.