SEATTLE – May 10, 2017 – ExtraHop, the leader in real-time IT analytics, today announced that Jenn Briden, Senior Product Manager at ExtraHop, will present a session at Interop 2017 on how enterprises can leverage machine learning to tap into the full potential of their network data. As many IT teams struggle to keep up with the vast amounts of data and complexity that result from operating a digital business, session attendees will learn how cloud-based machine learning can be used to sort through and analyze all streaming data, and proactively detect the issues that need attention in real time.
Session Title: Machine Learning Meets Streaming Data on the Network
**Who: **Jenn Briden, Senior Product Manager for Cloud & SaaS, ExtraHop
When: Thursday, May 18, 1:45 PM – 2:15 PM
Where: AI Theater, MGM Grand, Las Vegas
Session Details: While some of the most sophisticated IT organizations may have data science teams constantly analyzing and processing IT data, what about the majority of organizations who can't afford dedicated teams and infrastructure? Session attendees will learn how IT can easily and affordably apply the power of cloud-based machine learning to the most objective source of data: the network. New cloud-based anomaly detection solutions that apply machine learning to rich streaming data empower IT teams to be more proactive with powerful, real-time insights.
In addition to her Interop session, Briden will speak at the inaugural Women in Healthcare IT event on May 19 at Presidio Golden Gate Club in San Francisco.
This year, ExtraHop is a Best of Interop finalist for the third consecutive year, in the Data and Analytics category, for its machine learning service AddyExtraHop was named a Best of Interop finalist in both the Networking and the Performance, Management, and Monitoring categories.
ExtraHop will showcase Addy at Interop booth 517 during the expo May 15-19, 2017.
Not attending Interop this year? Explore the ExtraHop Addy interactive online demo. You can also follow the company on LinkedIn and Twitter.