Whether you are reading the news, going to the store, dealing with customer service or sending a package, it has become apparent that AI is becoming part of our daily lives. We can see this on more of a macro level with the automotive industry and its adoption of AI to improve the overall driving experience, as well as the healthcare industry as it uses the technology to automate the process of identifying and ultimately diagnosing high-risk patient groups. Even the agriculture industry is taking advantage of AI to improve operating efficiency and assist with the automation of essential farming processes.
When speaking of AI and its use by organizations, it’s easy to see the technology’s influence on the evolution of the chatbot. The intuitive service has been transformed in the past few years and can now easily communicate with customers and provide contextually relevant information 24x7. Aside from chatbots, AI has the ability to benefit companies in various ways in relation to speeding up identification of threats and the delivery of new services decreasing the time spent repairing problems.
Jumping Into AIOps
Incorporating AIOps is not as easy as flipping a switch, and it is important to recognize your organization’s key requirements for an integration to be a success. Before getting started, ensure that your AIOps solution includes:
- A platform for collecting all monitoring data, as well as support for various cloud environments
- Access for all monitoring data types
- The ability to consolidate all monitoring tools into a single view
There is Going to Be Some Data
We live in a time in which every device needs an internet connection, especially as it seeks to send important usage analytics back to help the development teams in their ongoing quest to improve their service and/or device. With this fact comes the accompanying truth that data loads are becoming larger and its distribution across hybrid IT environments means that IT teams can’t always manually assess all of the data.
Because of this, it’s vital that teams understand what data is a priority. This can be done by incorporating a platform that assists teams in collecting, analyzing and then storing all monitoring data from a variety of cloud sources (traditional, private, public and multi-cloud) into a single consolidated data lake. Through this action, the quality of data is improved and a key AIOps integration hurdle is removed from your organization’s path.
As you continue on your AIOps journey, you will need to ensure that all available monitoring data types have access. Monitoring data can be invaluable with a variety of types that collectively gives perspective to how the organization’s business services are running and performing. Due to this, it is vital that IT operations teams not only collect all of the data types, but that they also provide access to get a better picture of the data’s correlations and its effect on applications, services and the organization as a whole.
The accuracy of AIOps is assisted by the amount of relevant data available in the systems. With more relevant data, AIOps increases in its accuracy as it is, and always has been, primarily data-driven. As a result, the AIOps solution will be able to predict, identify, and develop prescriptive recommendations for issues through the use of automation.
The Big Picture on Monitoring Tools
There is an overwhelming amount of monitoring tools available for teams these days. They are of course necessary as they provide monitoring across various networks, databases, applications and cloud infrastructures. While only a few monitoring tools may have been used by teams before, it’s no secret that most teams are using 20 or more of these tools at a time now. Sure, there are team preferences when it comes to software, and integration limitations are also factor, but the excess of monitoring tools has the potential to lead to a time-wasting activity of attempting to assign responsibility to a specific group for an outage or incident.
To avoid such situations in your AIOps quest, it’s important to bring all of the data from these various monitoring tools into a single view. The tool chosen by teams to provide this single view should be able to not only collect all available data, but it should be able to identify redundant data and actions, as the end-to-end view provides an enhanced level of visibility into a company’s applications and overall operations. In little to no time, your teams see an increase in productivity as workloads are better aligned to business priorities.
But Wait, There’s More (Benefits)
The adoption of AIOps comes with several benefits that should be enticing to IT teams looking to improve their processes and services. Whether it is quicker identification of advanced threats, better correlation between change and performance, improved efficiencies within IT or faster time to deliver, AIOps leads to better alignment with IT services and business service outcomes, resulting in an improved employee and customer experience. Knowing the benefits, it is no surprise that AIOps projects are increasing globally as organizations look to improve their visualization and automation capabilities to stay competitive and ultimately, relevant.