Artificial intelligence (AI) is revolutionizing IT and many other sectors. Increasingly complex data environments are driving the rapid adoption of AI in IT operations (aka AIOps) for improvements in areas from operations to security and customer experience. Other factors include expanded edge networking, IoT devices, and the continued migration of infrastructure to cloud-based environments. Another driver is the need for fast technical support ticket resolution.
A recent report from Accenture showed that 43% of customer service agents often have a queue of 100 or more tickets. AIOps provides valuable insight when managing complicated data architectures and networks.k
While many fear the availability of AI will eliminate jobs, AIOps is a powerful set of tools that help existing IT personnel to do their work more efficiently and proactively address potential issues. AI gathers, organizes, and filters incredible amounts of data to home in on the root causes of network traffic slowdowns, bottlenecks, and other problems. And machine learning helps AI get better at understanding what issues are important.
With the guiding hand of a seasoned IT provider, AI is an extremely valuable portfolio of tools for improving efficiency, security, support, and customer experience.
Gartner coined artificial intelligence for IT operations (AIOps) to identify how machine learning and natural language processors are deployed in IT environments. AI operations include big data, analysis solutions, automated processes, and machine learning.
AIOPs have five main functions:
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At first glance, AIOps might only seem useful for an IT team. But a closer look reveals that AI provides multiple benefits for customers by creating better end-user experiences, including:
AIOps provides IT teams with incredibly stable experiences with solutions, such as proactive problem management and real-time monitoring. Another benefit is enhanced collaboration in an organization after removing data from departmental silos. When each member of a company's workforce has access to data, insights can be analyzed and transformed into action.
AIOps provides significant benefits for IT teams, as well, including:
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When a car broke down in years past, a visit to the mechanic might take several days to diagnose the issue. But now, a mechanic plugs a device into the car that communicates with the onboard computer to pinpoint the cause of the breakdown.
Similarly, you can think of AIOps as a diagnostic tool. IT professionals can utilize AI to identify "breakdowns" in the environment efficiently. Just as you need an experienced mechanic to read and interpret the diagnostic machine correctly, AIOps need an experienced IT professional to "read" the AI tools, sort out the false alarms, and "teach" machine learning solutions what to look for.
At OnX, our team utilizes AIOps tools to execute vulnerability scanning. A scan may identify hundreds of thousands of vulnerabilities. Without context, an organization may panic and throw money at the problem. But AIOps is not good at understanding which "vulnerabilities" are already secured. One of our certified engineers can pinpoint if any of the vulnerabilities are concerns and quickly fix them.
AIOps, unfortunately, lack the finesse that comes with years of experience. Just as a smart doorbell can't differentiate a delivery driver from a home invader, AIOps can generate much more unnecessary data that gum up the works.
Like students, AI can "learn" the wrong lesson. For example, an AIOps tool might be trained to recognize that the MDU of a switch is incorrect and take steps to lower it. However, this would affect traffic for every other system connected to that switch.
AI tools can only be directed, optimized, and "taught" to make the correct assumptions through expert management.
Gartner predicts that AIOps adoption will grow 30% this year, which marks 25% growth since 2019. Evolving IT environments are pushing organizations to look to AIOps for greater visibility, automation, protection against malware, and data insights. Many companies rely on AI to boost customer experience by providing improved product access and speeding up tech support resolution. It is becoming increasingly clear that when IT departments and organizations as a whole take advantage of the greater collaboration and insights provided by AI, the team can better serve their end-users.
But poor implementation of AIOps can lead to adverse side effects. OnX experts can advise your team on which AI tools to adopt to drive greater efficiencies and business outcomes. But OnX also puts you in the driver's seat of AI by pairing the speed and efficiency of AIOps with the deep experience of our engineers.
Reach out to our team today to learn more about adopting AI to enhance customer experience.