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Today, the most common fix for a major IT service outage is still to turn it off and turn it back on. Considering the vast breadth of data that enterprises keep, like log and metric data, incident reports, and service tickets, the Watson AIOps team believes that we can do much better. Built with machine learning at its core, Watson AIOps uses this data to deliver data-driven actionable insights to SREs in time to help them prevent outages.
Akhil Tandon is an Advisory Data Scientist working on Watson AIOps, IBM’s newest AI-powered offering. Within Watson AIOps, Akhil works on components spanning anomaly detection, correlation analysis, and data preprocessing, all of which are used to help system administrators prevent outages. Previously, Akhil worked on IBM’s Watson Studio offering, and led several engagements that helped clients leverage the power of machine learning and AI. Akhil is passionate about travel and photography, and has recently taken up an interest in gardening.