Taming IT Chaos Leveraging Advanced ML and AI

Thursday, July 9 – 11am PT / 2pm ET

Information Technology (IT), like many other industries, is tapping into the latest advancements in Machine Learning and Artificial Intelligence to solve a decades-old problem in the IT management world. Netreo believes there is a systematic way to design and implement AIOps.

This webinar will demystify AIOps and introduce how Netreo leverages AI and ML to augment IT management capabilities. The methodology Netreo is introducing includes 4 steps, Distill, Analyze, Predict and Act, abbreviated as DAPA. The presentation will walk through the DAPA methodology and present related IT capabilities of each step.

Special Offer

Sign up with your work email & attend the live webinar to qualify for a free YETI tumbler. **Limit one per person. (Following the webinar, you’ll get a custom link to confirm your address.) **Offer valid for US attendees only. International attendees will receive an Amazon gift card.

Can’t make it? No sweat. Everyone who registers will receive access to the recorded webinar.

Webinar Presenter

Xin Han

VP, Product Management

Netreo

Dr. Xin Han is VP of Product Management at Netreo – an award-winning AIOps platform for IT infrastructure management and one of Inc. 5000’s fastest growing companies.

Dr. Han is an entrepreneur and business strategist with a pragmatic focus on applied AI and ML technologies. A former product management leader for AWS CloudSearch and eBay, Dr. Han also co-founded and sold 2 companies: Jian24 (a leading artificial intelligence company) and dmall.com (the largest mobile grocery shopping platform in China, with a 250-strong product and engineering team that achieved 17 million registered users with $70 million monthly revenue within two years). Before dmall.com, Dr. Han established the VIPShop (NYSE: VIPS) Silicon Valley R&D center in 2013 and served as General Manager until 2015.

Dr. Xin Han received his MBA from UC Berkeley Haas School of Business, and PhD in Computer Science from Tsinghua University.