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Hybrid IT environments produce an immense amount of data, that can pose a difficult management challenge for even the most skilled ITOps teams. But with these challenges also comes opportunity. Patterns hidden within these data can reveal opportunities to automate, but you need the tools to help you parse it.
A great way to detect these patterns is to first detect anomalies in the data. Typically, organizations set either static thresholds or manual rules to define and manage deviations from normal behavior. The problem with status thresholds is that first, it takes a long time for subject matter experts (SME) to distill them from their experience and to create them and second, they don’t adapt to changes and therefore, tend to get outdated and irrelevant quickly. Operations teams waste time and effort in managing these thresholds and end up missing important clues.
Join IBM Fellow and CTO of AI for IT, Rama Akkiraju as she chats with Anbang Xu, the Chief Architect of the anomaly detection and action remediation functionality built into Watson AIOps, about how Watson AIOps was designed to leverage anomaly detection from both metrics and logs, and how you can integrate this powerful tool into your own ITOps strategy.
Rama Akkiraju is an IBM Fellow, and Director at IBM's Watson division. Rama is also a Master Inventor and a member of the IBM Academy of Technology. Rama has been named ‘Top 20 Women in AI Research’ by Forbes Magazine in May 2017, top 6 'A-team for AI' by Fortune Magazine in July 2018 and 'Top 10 pioneering women in AI and Machine Learning' by Enterprise Management 360 in April 2019. Rama has been awarded YWCA Technical Women in Industry (Twin) award in 2014. Rama served as the President for the International Society for Service Innovation Professionals (ISSIP) in 2018. Rama holds a Master's degree in Computer Science and an MBA. Rama has received a Gold medal for the highest academic achievement in MBA from New York University's Stern School of Business.
At IBM, Rama is presently leading the Artificial Intelligence (AI) Operations mission at IBM Watson group. AI Operations is concerned with making AI work of enterprises. Rama is also the lead for the People Insights initiative at IBM's Watson division. She and her team have developed and released multiple AI services such as Personality Insights, Tone Analyzer, and Emotion Analysis at IBM Watson by employing psycho-linguistic, Machine Learning (ML) and Natural Language Processing (NLP) techniques.
Anbang Xu is a Data Science Manager, leading Log Anomaly Detection and Action Recommendation in Watson AIOps. He has led the team to train and enhance various Watson AI services through the development and integration of techniques in Machine Learning, NLP, Crowdsourcing, and Visualization. His research is a mix of AI and HCI. He has published 50+ research articles and received 1,500+ citations. He is the Associate Editor of ACM Transactions on Interactive Intelligent Systems. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign.