As businesses become increasingly digital, IT operations now deal with more extensive and more complex data than before. Traditional tools and strategies might no longer be enough to help them cope with their growing workload. Hence, many organizations are tuning in to the various AIOps trends available.
AIOps is short for Artificial Intelligence (AI) for IT Operations. This is where they use Machine Learning(ML) to enhance and automate IT functions. Through it, they can handle more comprehensive data and intricate tasks in a shorter time.
With 54% of companies globally head towards AI adoption, it is high time you also consider your options. With that, here are some of the AIOps industry trends you should watch for this 2021 and beyond.
1. Increased adoption of AIOps due to remote work
The past year alone saw an incredible boost in remote work. This forced businesses to deploy more hardware and software to accommodate the change in setup. This poses a new challenge for IT teams. They must now deal with large amounts of data coming from different areas all at once. Working remotely can put a strain on their productivity and efficiency as well.
Hence, there will be an increased demand for AIOps implementation among businesses. Though it doesn’t matter where the users are coming from, once the algorithms are in place, it can operate independently by accepting and extracting data, predicting incidents, and providing insights for your IT team. As a result, your IT can put preventive measures and resolve issues immediately as your workforce adjusts to a fully remote setup. You can also integrate it with other IT software similar to this list where FinancesOnline compiles some examples of IT asset management software.
2. Accelerated Incident Response
With AIOps, IT teams can perform root cause analysis faster than ever. This is because AIOps platforms automate analysis procedures for events, logs, and other metric data. It can also provide relevant and real-time context to accelerate triage. As technologies continue to advance in AIOps, many platforms will strive to accelerate their incident response and improve their respective algorithms.
CloudFabrix, for one, provides an accelerated incident resolution by having all critical data in one place. This includes incident context, causing alerts, CI/stack impact assessment, triage data, and root cause insights. This makes it easier to track incidents and diagnose them accordingly.
3. Integration with Observability Platforms
Recently, AIOps solutions are integrating with Observability Platforms. This empowers your IT to have a deeper understanding of your organization’s operational data and systems. It allows them to gather actionable data and perform better diagnosis.
By looking into metrics, dependencies, and logs, Observability Platforms can draw different data types and connect the dots between them. There are three components, namely: customer experience, employee productivity, and overall digital infrastructure. This helps you understand how the organization is performing. By incorporating AIOps into Observability Platforms, your IT can reduce the time to predict and fix problems before they can affect your organization. They can automate the analysis of streams of data and instantly turn them into actionable insights. Moreover, your AIOps becomes part of the DevOps toolchain.
4. Smarter and broader Automation
AIOps most significant strength is its automation capabilities. It offers numerous functions to automate specific IT processes and reduce the workload on your team. While the types of automation it can do used to be limited, most AIOps statistics predict that platforms will have more innovative and more advanced tools in 2021.
In the past, AIOps tools can only handle a single data type at a time. But nowadays, there are new AI algorithms that can handle multiple data types at once. Likewise, most platforms now have automation that adheres to problem-resolution type of use case or workflow. Some companies utilize data fabric such as Robotic Data Automation (RDA) to tame data problems. This dramatically reduces the need for human intervention in the process and also reduces the data management efforts by up to 70% – 80%.
5. Boosted Cybersecurity
Even with all the advancements in technologies, the fight for cybersecurity remains a top priority among businesses. This is especially true now that more companies rely on digital workflows and tools. Thus, there is a need for advanced and integrated security platforms within organizations.
AIOps 2021 presents more integrated security and IT operations. Using AI allows them to instantly detect issues and put in preventive measures even before they can happen. It can also further boost system uptime and reliability in the process. For example, you can program your AIOps to differentiate regular access from hacker access or insecure access. Once detected, it can automatically block the IP address of any suspicious user.
Get on with the trends
Businesses nowadays are heading towards digital transformation. To ensure a smooth transition, they need robust and reliable IT operations. Hence, many organizations are now implementing AIOps into their current processes.
With new technologies always waiting around the corner, AIOps platforms continue to evolve and improve. So keep your eyes open for recent trends to make sure that your IT operations remain future-proof.