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Automated root cause analysis is the missing link between autonomous detection and autonomous remediation. Bridging the gap holds, on the face of it, the true realization of AIOps. Alas, in reality, uncovering a root cause is conceptually complex and still impossible without a man in the loop, even using today’s bleeding-edge AI technology.

If you are in the market for AIOps technology, these are the 6 key areas to evaluate to reap the full benefits of the platform for your business. Feel free to download our AIOps Request for Proposal (RFP) document to help guide your decision making process. 

Many companies have tried to feed business data, such as business activity, into IT or APM monitoring solutions, only to discover the data is too dynamic for static thresholds. Some companies choose to depend on analyze BI dashboards to find issues, but that leaves anomaly detection to chance. As companies have tried to solve these challenges, AI is driving a future where monitoring business data is monitored autonomously.

Anodot is a proactive way to run your IT Operations, used by the world’s leading data-driven companies. Our Autonomous Analytics platform uses AI to continuously scan all ETL metadata to monitor changes in behavior. Billions of events are filtered into just the alerts you need.