AI for IT Operations Management
The vision of self-aware, self-healing, and self-managing Information Technology (IT) systems has remained elusive till recently. Recent advancements in cloud computing, Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) in general, are making it possible to realize this vision now. AI can optimize IT operations management processes by increasing application availability, predicting and detecting problems early, reducing the time it takes to resolve problems, proactively avoiding problems, and optimizing the resources and cost of running business applications on hybrid clouds.
In this talk, I will give a glimpse of the AI behind the IBM CloudPak for Watson AIOps. I’ll describe how semi-structured application and infrastructure logs are analyzed to predict anomalies early, how entities are extracted and linked from logs, alerts and events to reduce alert noise for IT operations admins, how NLP is put to use on unstructured content in prior incident tickets to extract next-best-action recommendations to resolve problems, and how deployment change request descriptions are analyzed in combination with past incident root cause information to predict risks of deployment changes to prevent issues from happening in the first place.
IBM Fellow, CTO – AI for IT Operations. Master Inventor, IBM Academy Member.
Prior to becoming CTO of AI operations, Rama led the AI mission of enabling natural, personalized and compassionate conversations between computers and humans where she and her team developed and delivered several differentiating AI Services such as Personality Insights, Tone Analyzer, Emotion Analysis, and Sentiment Analysis services to the IBM Watson platform. Before this, Rama led various projects and Research teams at IBM Watson Research Center and IBM Almaden Research Center in the areas of AI, analytics, business process optimization and delivered innovative analytical assets to IBM’s Global Business Services (GBS), and Global Technology Services (GTS) organizations. Rama has been named by Forbes as one of the ‘Top 20 Women in AI Research’ in May 2017, has been featured in ‘A-Team in AI’ by Fortune magazine in July 2018 and named ‘Top 10 pioneering women in AI and Machine Learning’ by Enterprise Management 360 in April 2019. Rama is the also the recipient of the University of California, Berkeley’s Athena award for Technical and Executive Leadership for 2020.