SEATTLE – May 3, 2017 – ExtraHop, the leader in real-time IT analytics, today announced that Matt Cauthorn, Vice President of Systems Engineering at ExtraHop, will present a session on the application of cloud-based machine learning to streaming network data at the Gartner IT Operations Strategies & Solutions Summit (IOSS). Session attendees will learn how to leverage the power of machine learning to detect performance- and security-impacting anomalies in real time, enabling IT teams to take a proactive, data-driven approach to supporting and securing the digital experience.
Session Title: Cloud-Based Machine Learning Meets Streaming Data on the Network
Who: Matt Cauthorn, Vice President of Systems Engineering, ExtraHop, @mcauth
When: Monday, May 8, 12:45 PM – 1:05 PM
Where: Show Floor Theater, Orlando Ballroom 11, Hilton Orlando
Session Details: The world's most sophisticated IT organizations have data science teams applying machine learning to vast amounts of IT data. What about the majority of organizations who can't afford dedicated teams and infrastructure? New cloud-based anomaly detection solutions apply the power of machine learning to IT's richest real-time data source: their network. In this session, you will learn how IT can easily and affordably apply the power of cloud-based machine learning to their streaming network data.
Cauthorn will also appear on This Week in Tech (TWiT) on Friday, May 5th at 1:00 PM PT.
ExtraHop makes data-driven IT a reality. By applying real-time analytics and machine learning to all digital interactions, ExtraHop delivers instant and unbiased insights. IT leaders turn to ExtraHop first to help them make faster, better-informed decisions that improve performance, security, and digital experience. Just ask the hundreds of global ExtraHop customers, including Sony, Lockheed Martin, Microsoft, Adobe, and Google. To experience the power of ExtraHop, explore our interactive online demo. Connect with us on Twitter, LinkedIn, and Facebook.