Operations | Monitoring | ITSM | DevOps | Cloud

September 2021

How organizations handled incidents before and after deploying AIOps - Part 2

In this highly dynamic environment, organizations are looking for ways to innovate and manage resources efficiently. In the first part of the two-part blog series, we saw how organizations handled incidents without an AIOps solution and how long it took to resolve that incident — a scenario representing different steps to resolve an incident. In the second part of the two-part blog series, we look at how organizations were able to handle incidents after deploying AIOps.

Face Detection using Robotic Data Automation(RDA) in 4 mins

Perform real-time face detection through a webcam/recorded video using Robotic Data Automation(RDA) in 4 mins. This method is so quick that we can start getting real-time reports on the faces of every person/object in the video without much performance overhead. The best part is it's a low code tool. Intriguing enough?
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Robotic Data Automation (RDA): Top 5 emerging opportunities for CXO/IT leaders

As per Gartner, Hyper Automation is the top strategic technology trend for Enterprises. “The shift towards hyper automation will be a key factor enabling enterprises to achieve operational excellence, and subsequently cost savings, in a digital-first world,” said Cathy Tornbohm, Distinguished Research Vice President at Gartner. Businesses want to enable employees to make better decisions in the most cost effective way.

How organizations Handled Incidents Before and After Deploying AIOps - Part 1

Organizations are always looking for new ways to innovate and reduce costs and allocate resources more efficiently. In this blog post, we will look at how enterprises handled incidents before and after deploying AIOps.