Skip to main content

AIOps to Solve The World's Biggest IT Problems

Contributed by Richard Whitehead, Chief Evangelist at Moogsoft over at vmblog.

In a new world of emergent and automated technologies, artificial intelligence for IT operations (AIOPs) stands out as a practical leader of the pack. The benefits of implementation have already enhanced daily tasks like performance analysis, anomaly detection and noise reduction, but 2019 looks to be a stellar year for an industry already able to cut through the buzzwords with real success.
With Gartner recently reporting that, "by 2022, 40% of all large enterprises will combine big data and machine learning functionality to support and partially replace monitoring, service desk and automation processes and tasks, up from 5% today," here are two examples of how AIOps will make strides in the industry next year.
Overcoming the To-Do List of Decades-Old IT Challenges
We've been hearing the same IT-related complaints for the last twenty years, like data management and analysis, and with the rise and implementation of AI technologies, we're finally able to circle back to those issues with a proper solution. The biggest wins we'll see for the industry next year is that we'll finally be able to resolve decades-old challenges in infrastructure observability and noise reduction.
Reducing the Final 1% of IT Operational Noise
When we apply automation technologies to IT operations today, we're able to see up to a 99 percent reduction in noise. Over the next decade, experts and innovators will continually be pushing to eliminate that extra 1 percent. While at first that might sound like such a minimal accomplishment, the exponential increase in data and information makes this a monumental task.

Ronald Bartels on LinkedIn

Comments

Popular posts from this blog

Why Madge Networks, the token-ring company, went titsup

There I was shooting the breeze with an old mate. The conversation turned to why Madge Networks which I wrote about here went titsup. My analysis is that Madge Networks had a solution and decided to go out and find a problem. They deferred to more incorrect strategic technology choices. The truth of the matter is that when something goes titsup, its not because of one reason only, but a myriad of them all contributing to the negative consequence. There are the immediate or visual ones, which are underpinned by intermediate ones and finally after digging right down, there are the root causes. There is never a singular root cause for anything but I'll present my opinion and encourage everyone else to chip in. All of them together are more likely the reason the company went titsup. As far as technology brainfarts go there is no better example than Kodak . They invented the digital camera that killed them. However, they were so focused on milking people in their leg

Flawed "ITIL aligned"​ Incident Management

Many "ITIL aligned" service desk tools have flawed incident management. The reason is that incidents are logged with a time association and some related fields to type in some gobbledygook. The expanded incident life cycle is not enforced and as a result trending and problem management is not possible. Here is a fictitious log of an incident at PFS, a financial services company, which uses CGTSD, an “ITIL-aligned” service desk tool. Here is the log of an incident record from this system: Monday, 12 August: 09:03am (Bob, the service desk guy): Alice (customer in retail banking) phoned in. Logged an issue. Unable to assist over the phone (there goes our FCR), will escalate to second line. 09:04am (Bob, the service desk guy): Escalate the incident to Charles in second line support. 09:05am (Charles, technical support): Open incident. 09:05am (Charles, technical support): Delayed incident by 1 day. Tuesday, 13 August: 10:11am (Charles, technical support): Phoned Alice.

Updated: Articles by Ron Bartels published on iot for all

  These are articles that I published during the course of the past year on one of the popular international Internet of Things publishing sites, iot for all .  These are articles that I published during the course of the past year on one of the popular international Internet of Things publishing sites, iot for all . Improving Data Center Reliability With IoT Reliability and availability are essential to data centers. IoT can enable better issue tracking and data collection, leading to greater stability. Doing the Work Right in Data Centers With Checklists Data centers are complex. Modern economies rely upon their continuous operation. IoT solutions paired with this data center checklist can help! IoT Optimi