IT production environments are an essential part of any modern business organization. Today, it’s virtually impossible for an enterprise to function effectively without a defined set of IT solutions. The amount of data managed and needed to run business is growing exponentially, congruent with the amount of data needed to guarantee that these IT environments are always available. These two facts alone create a strong case for the Intelligent Automation (IA) of IT, because data really is the lifeblood of modern business. However, simply generating and managing reams of data is not enough. To derive tangible value from any data, organizations must ensure that the data generated is comprehensive, verifiable, and accurate. Failure here can render data meaningless and lead to poor decision making.

The quality and depth of data can be a game-changer for businesses, and while the human brain is an amazing organ, it can only do so much at once and maintain consistent performance levels. AIOps, the integration of AI in IT operations, on the other hand, leverages the power of machines to enable organizations to accurately comprehend and control the growing complexities of data-driven business ecosystems As more organizations embrace complete operational digital transformation, it’s critical that the data generated is intelligently gathered, organized, analyzed, and optimized. This is where AIOps delivers exponential value through the ability to take data and add context, intelligence and value, driving actionable insights and better-informed decision making. AIOps underpins the drive towards maximized ROI, minimal loss, and delivering complete customer satisfaction.

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IT infrastructure has become incredibly complicated -- intensified by the investment in digital transformations encouraged by the pandemic. One of the unintended consequences? IT teams and incident responders are stressed, and stretched farther than ever. PagerDuty’s The State of Digital Operations lays out the increased burden on these teams, the results in terms of burnout, and the impact having a more mature digital operations can have on minimizing that stress.

AIOps is an essential component to any mature digital organization, and it’s clear a new approach is needed. The sheer volume of IT events, from changes, warnings and incidents, to tickets for more routine activity are increasing 70 percent year-on-year. At a moment when increases in budgets won’t keep pace with the explosion of incidents or the complexity of IT infrastructure (if the budgets aren’t being reduced outright), leveraging AIOps to serve teams and customers is critical.

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Development teams are being forced to 'shift left'-- under pressure from the business to move more and more work closer to the design and development phase, earlier in the process.

The idea is to catch bugs earlier, before they turn into costly production outages, and should improve efficiency while minimizing risk within the software development cycle. Yet this demand puts even more pressure and responsibility on developers.

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IT systems run around the clock, and sometimes, so do the employees who support these systems. After all, our digital world is incredibly sensitive to system failures and downtime. But how does this perpetual stress affect IT professionals?

A recent study found that 83 percent of software engineers experienced professional burnout. And, the COVID-19 pandemic only exacerbated the issue with 81 percent of software engineers reporting elevated fatigue due to growing pandemic-related workloads. Technology doesn’t have to be the root cause for this burnout, and in fact, tech can actually combat these issues. Let’s dive into what’s causing DevOps and site reliability engineering (SRE) teams to get burnt out in the first place and how solutions like AIOps can alleviate some of their stress.

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Since 1955, 88 percent of Fortune 500 companies have fallen off the list or gone bankrupt, including major brands like American Motors and Detroit Steel, while others like Boeing and Campbell Soup have withstood the test of time. More telling, the average "lifespan" of a company on the list has dropped from 75 to 15 years, indicating that today, a business’ longevity is less to do with industrial decline and leadership, and more influenced by technology and trends. Digital transformation has occurred in waves, and those who have adapted and survived are often those who embraced innovation and implemented new technology to enable success. As we continue riding the current wave of digital change, next-generation platforms for observability and AIOps can help businesses keep pace.

Although many industry leaders see observability with AIOps through a technical lens, every feature and function solves a real-world problem for companies. Here are the top business use cases for observability with AIOps:

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