By Tom Palmieri, Director of Operational Intelligence and Service Management
Many people tend to think of artificial intelligence and machine learning in rather hackneyed, sci-fi movie terms: Robots are coming to take our jobs, and eventually, our places.
In reality, there is no machine thinking going on here. There are just the applications of various theories and algorithms based on the learned experiences in the operations realm over the last several years and the discovery of new techniques really focused on separating signal from noise. And that’s all it’s really about today.
But our perception of AI and machine learning is slowly changing.
Machines are good at correlating events or automating a reaction to a particular circumstance. Or, they can trigger a cycle that automates an action. Software can automate repetitive human tasks, faster and more accurately than a human. Software--and machines--can do things more efficiently, sometimes by applying data processing techniques that haven’t traditionally been used. But, make no mistake, we’re not replacing thought.
By understanding what’s tried and true and recognizing what’s common, eventually, you can turn that into an algorithm. And, if you’re really good, you can turn that into a generic algorithm that applies to more circumstances.
Humans are excellent at pattern matching and making educated guesses. However, artificial intelligence can also do much of that type of work. In the early days of AI, even when businesses were under pressure to downsize, managers were reluctant to give the “reasoning” part of the job to a machine. Chalk it up to job insecurity. After the inevitable cuts came, the workload increased; there is only so much fat to cut before you get to muscle. So the remaining employees and managers started to see things differently. They began to realize AI wasn’t going to replace them, it was going to help them. If we can use artificial intelligence as a tool that will conduct and complete mundane, repetitive tasks and free us up to implement strategies and think creatively, then bring it on!
Machine learning powers artificial intelligence, which is the “brains” behind intelligent IT operations. Operational Intelligence provides real-time understanding of what’s happening within your IT systems and technology infrastructure. The only way you can make informed decisions is to be armed with operational visibility and insights. One way we do that at Melillo Consulting is with Splunk IT Service Intelligence, a next-generation monitoring and analytics solution that uses machine learning and event analytics to simplify operations, prioritize problem resolution and align IT with the business. Splunk’s ability to aggregate, analyze, correlate and use data can identify patterns in a fraction of the time it would take humans to complete the same tasks.
Machine learning (ML) and artificial intelligence are enjoying the same rise seen by cloud computing and big data five years ago. Those were leading-edge technologies back then -- but today they are well incorporated into every day business life, just as AI, ML and operational intelligence will be in the next decade.
At Melillo, we are exploring ways that our clients can best employ new technologies so they can spend their time coming up with innovative ideas and working smarter, while leaving the data analytics to machines. Our future posts will discuss how AI, along with machine learning and operational intelligence, can boost productivity, raise infrastructure awareness and help you grow your business.
Want to discuss how to incorporate Machine Learning in your organization?
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