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.
Tweet: #GartnerIOM: #MachineLearning helps ease #IT performance and #security concerns @ExtraHop @mcauthSession 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 will showcase the new Addy machine learning service at Gartner IOSS booth 207 during the expo May 8-10.
Not attending Gartner IOSS this year? Explore the ExtraHop Addy interactive online demo. You can also follow the company on LinkedIn and Twitter.