The world is increasingly digital. The U.S. Census Bureau estimates e-commerce grew 14.2% from 2020 to 2021, for a total of $870.8 billion in sales. And just look at the trends in remote work. According to a FlexJob and Global Workplace Analytics report, remote work has grown 44% over the last five years and an astonishing 159% over the last 12. Indeed, much of America relies on a slew of digital apps and services to get business done every day. So what does this mean for businesses?

There are a common set of key performance indicators for incident management, such as MTTR and MTTA. What do these metrics mean, and why are they important?

For years, Artificial Intelligence for IT Operations (AIOps) applications have helped organizations streamline and improve their IT processes for better business results. But today, with rising disruptions and BCG research noting that 70% of digital transformations fail, these incidence response applications alone are no longer enough to maintain digital service uptime and ensure customer satisfaction.

According to Norton’s Cyber Safety Pulse Report, India faced over 18 million cyber threats in only Q1 2022, roughly 200,000 threats every day. Of the bulk, 60,000 were phishing attempts, and 30,000 were tech support scams. For perspective, phishing attempts around the world during the same period counted for approximately 16 million. CERT-In also reported over 2.12 lakh (~0.1 million) cybersecurity incidents until February 2022.

In this video, I explain the key difference between Generation 1 and Generation 2 AIOps platforms. As organizations develop strategies for implementing AIOps and as they consider different vendor approaches, it’s critical to understand the differences between those approaches. This brief video will help arm you with a key question you need to ask to easily identify the difference between Gen 1 platforms and Gen 2 platforms. It’s all about the types of data being collected.

In this video, Sean McDermott of the Find Flow podcast sits down with Ani Gujrathi, chief technical officer for Zenoss, and myself. We dive into the original approach to AIOps, how that has evolved, and how it continues to evolve. We start by exploring the entire purpose of AIOps — figuring out how to accelerate problem resolution in modern, complex IT environments while dealing with the pervasive problem of monitoring tool silos.