Skip to Content


Artificial intelligence

The AIOps mission: Simplify the complex

The technology allows businesses to manage large volumes of data across distributed IT systems and reduces the time it takes to perform and respond to daily operational tasks.
The AIOps mission: Simplify the complex
The AIOps mission: Simplify the complex

Produced in association withAppDynamics

For Sergio Puga, an undetected problem in information technology (IT) can have disastrous consequences. Puga is a senior technical program manager at FedEx Services, which provides IT for the global shipping company. Issues like not enough computing power getting to applications could trigger hours of expensive downtime, lost productivity, and troubleshooting. This means delivery personnel don’t get the right information, packages don’t get delivered, and customers get angry.


The AIOps mission: Simplify the complex

“FedEx can’t fail; reliability is paramount. We can’t have any service interruptions,” Puga says.

As companies like FedEx rapidly transition to digitization, they are grappling with the daunting challenge of managing and processing massive volumes of data that live in siloed, disparate systems. IT teams that manually oversee and monitor these complex data sets are drowning in a sea of often inexplicable data and, as a result, end up expending a great deal of time and money troubleshooting issues and completing routine operational tasks.

One solution to the problem may be AIOps technology, which combines artificial intelligence and machine learning to automate data correlation, enable root-cause analysis, and deliver predictive insights across the corporate ecosystem. AIOps increases IT departments’ operational efficiency by accessing companywide data, extracting insights about IT systems, monitoring operational and usage statistics, and proactively solving application performance problems. That way, IT can avoid crippling outages that negatively affect customers and damage the bottom line. And since AIOps makes connections across data silos, business users can reap the benefits, making informed, intelligent decisions based on real-time data. 

FedEx, for example, is in the early stages of AIOps deployment. Using the technology to monitor applications allows Puga’s IT team to troubleshoot, solve, and avert potential problems “in seconds.” 

“If our team investigated the same CPU utilization problem using current monitoring tools, it would take six to 10 full-time employees two to five hours to find the source and perform remediation,” Puga says. 

Deep Dive

Artificial intelligence

DeepMind’s cofounder: Generative AI is just a phase. What’s next is interactive AI.

“This is a profound moment in the history of technology,” says Mustafa Suleyman.

Deepfakes of Chinese influencers are livestreaming 24/7

With just a few minutes of sample video and $1,000, brands never have to stop selling their products.

AI hype is built on high test scores. Those tests are flawed.

With hopes and fears about the technology running wild, it's time to agree on what it can and can't do.

You need to talk to your kid about AI. Here are 6 things you should say.

As children start back at school this week, it’s not just ChatGPT you need to be thinking about.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.