It made it into our IT Operations Glossary for 2021 blog last month but got rejected by Wikipedia. Gartner included it in its Top 10 Strategic Technology Trends for 2020 list and business process management software vendor Appian published a book about it.
We’re talking about Hyperautomation. Wikipedia’s reservations aside, hyperautomation is a technology trend that’s moving beyond the business process management (BPM) world and into IT operations.
What is hyperautomation?
In our blog we defined it as the “use of advanced technologies, like artificial intelligence (AI), Machine Learning (ML), and robotic process automation (RPA), to automate tasks that were once done manually.” Hyperautomation refers not just to the tasks and processes that can be automated but the level of automation.
Organizations that elevate their automation game to hyperautomation incorporate innovative new technologies like RPA, machine learning and AI to streamline Workflows, boost productivity and make their systems smarter with less human intervention.
5 Steps for Getting Started with Hyperautomation in IT Ops
- Leverage RPA attended or unattended workflows to automate routine operational and housekeeping tasks.
- Automatically correlate alerts at scale using AI for immediate root cause identification.
- Combine decision tables with machine learning for automated first response actions to suppress noisy alerts or to run auto-remediation workflows.
- Predict and prevent incidents through AI/ML driven data analysis to identify and report alert patterns. Integrate with RPA workflows to take preventative actions before users and customers are affected.
- Enrich log events using natural language processing (NLP) to understand their true meaning.
This post first appeared on Simplifying Cloud Management With OpsRamp: Part 1, please read the originial post: here
