According to Gartner, the impact of AIOps on IT operations will be transformative. But what are the Building Blocks of AIOps - and how can you validate the value and feasibility for your organization?
Download “The AIOps Building Blocks” to find the answers and to learn about the 5 essential components of AIOps.
AIOps can be broken down into key capabilities, or building blocks, from collecting data to taking action - each one delivering incremental value.
Just as when building a house you need a floor, walls, a ceiling, and a roof, these capabilities must function together in order to fully capture the value of AIOps.
The five (+1) capabilities of AIOps — each one delivering incremental value — should initially be implemented sequentially with later iterations.
The use of artificial intelligence is becoming a necessity for IT operations. As businesses go digital their use of more complex technologies like cloud architectures puts them at risk of failing with crucial governance and monitoring requirements that can impact revenue- and productivity loss.
While only a small percentage of businesses adopted AIOps, Gartner predicts that a larger majority will be taking it on in the near future. Here’s what other IT professionals think about AIOps:
As businesses grow and data increases along with the sources from which it’s collected, so do their technology needs. If you don’t leverage the automation power of machine learning and artificial intelligence, then you’ll find that your team won’t be able to handle big data.
AIOps helps you to nip the issues in the bud before they have a chance to wreak havoc on your IT operations, which can lead to disastrous consequences for your customers and overall business.
Companies rely on increasingly complex IT infrastructure, software applications, and microservices to drive digitalization, revenue and improve productivity. Meanwhile, some businesses have been ill-equipped to deal with looming technical issues, which has caused many to lose revenue or incur significant costs.
To address problems before the business is impacted companies must make a shift towards automation. Artificial Intelligence (AI) is the new driver for transforming traditional ITOps into AIOps.