Operations | Monitoring | ITSM | DevOps | Cloud

June 2024

Understand AIOps use cases to ensure maximum value

The complexity of modern IT environments and the volume of data they produce have increased by orders of magnitude. According to predictions from UBS, the data universe will grow by more than a factor of 10 — reaching 660 zettabytes — from 2020 to 2030. This explosive growth exceeds the abilities of legacy event-management tools and human operators. AIOps augments human activities within IT operations using AI, data, and machine learning.

Harness AI for financial services IT

IT operations teams in the financial services industry face serious challenges. Customers expect a seamless experience across a complex landscape including online platforms, mobile devices, and ATMs. Competition is fierce. Technology evolution continually disrupts the marketplace. These factors create obstacles for the teams tasked with ensuring near-perfect service availability while continuing to innovate.

The power of context in root-cause analysis

The ability to quickly and accurately identify the root cause of IT incidents is paramount. According to EMA Research, more than 80% of IT professionals said a solution that could generate an accurate summary of alerts and incidents, including the likely root cause, would be transformational or high value. Respondents noted that such a solution would reduce mean time to resolution (MTTR) by 10 to 30 minutes.

AIOps use cases: Technical, operational, and business

ITOps stands at a crossroads: Teams need help managing high volumes of alerts and coordinating between different tools and teams. They must balance the agility offered by cloud technologies and the stability provided by on-premises solutions. Success relies heavily on adaptability and clarity, requiring flexibility, with synchronized technology stacks for seamless IT operations. AIOps, a term coined by Gartner, provides a straightforward way to improve IT operations.

What is IT incident management? How does AIOps help?

Imagine you’re in the middle of a critical project, and suddenly, your system crashes. Or perhaps it’s the middle of the night, and your server goes down, affecting countless users. While you can’t avoid all IT incidents, how you handle them can significantly reduce their impact. You know that proper IT incident management is critical — and that incidents can become costly.

Six key capabilities of an AIOps platform

Unplanned downtime can cost large enterprises almost $1.5 million per hour, according to a recent survey by Enterprise Management Associates. AIOps offers a solution. With an effective AIOps platform in place, you can decrease the frequency and cost of outages by 30% and reduce their duration to under an hour. AIOps platforms apply AI and machine learning to complex IT data to enhance and automate IT operations.