There’s a ton of hype surrounding the topic of artificial intelligence, and unfortunately, where there’s hype, there’s also usually a good amount of misinformation. Sadly, many of the mistruths being perpetuated are causing undue fear and trepidation. The good news is, these myths and misconceptions about AI can easily be debunked. Let’s tackle a few of the more common ones below.
Myth #1 – AI is going to eliminate the need for humans in the workplace.
This is, by far, the biggest fear around artificial intelligence, and thankfully, it’s mostly false. Yes, AI is going to automate mundane, boring and repetitive tasks. Yes, intelligent automation is even capable of taking on complex and multifaceted processes and workflows. But the reality is, for every job AI replaces, several more will be created in its place. After all, someone’s got to manage and oversee all that advanced technology, right?
(Note: if you’re a worker who is concerned about how AI will impact you, our free Automation Academy is a great way to shore up your skills and future-proof your career.)
Myth #2 – AI is smarter than people.
Another frightening idea that’s being perpetuated is that artificial intelligence is somehow capable of outsmarting its human counterparts. This is simply not true. In fact, AI is really only as smart as you program it to be. You see, intelligent automation requires data. And not just any data, either. It requires a steady stream of high-quality, relevant information. As long as you provide this, the outcome will be successful. But don’t worry. Robots are not about to go rogue and take over the workplace autonomously. That’s the stuff of science fiction.
Myth #3 – AI is nice to have, but not really a necessity.
Perhaps this was true a few years ago, but today, organizations that are not prioritizing a plan for artificial intelligence will undoubtedly find themselves behind the curve before they even realize it. In fact, experts predict that over the next decade, there will be no company or industry that isn’t touched by AI in some way. The fact is, AI and intelligent automation make it much easier to innovate, scale and quickly pivot based on market changes. Failing to have a strategy in place is a risky proposition, especially since your competition likely does.
Myth #4 – There’s no way to know what AI is up to, and therefore, it’s impossible to trust.
When the concept of AIOps was first introduced, admittedly there was a sense of ambiguity surrounding it. For early adopters, it was this mysterious system that somehow produced results without providing any real insight as to what its underlying algorithms were doing and why. As time passed, however, these solutions have matured and become much more transparent. In fact, AIOps platforms like Ayehu place a significant emphasis on providing insight and maximum visibility. The result is a solution users can easily understand and – more importantly – trust.
Myth #5 – As long as I test well, my AI project will be successful.
All AI initiatives should start with test projects. But it’s important to recognize that just because the results are great during the testing phase, doesn’t mean they’ll stay that way once you deploy AI into production. Remember that point we made above about the importance of quality data. The truth is, real world data changes often, and sometimes at a breakneck speed. If your AI and machine learning models aren’t being continuously fed up-to-date and accurate information, your accuracy level will begin to decline. The key to consistent, sustainable success with AI is ensuring that your training data is the same as your production data.
Have you fallen victim to one or more of the above AI myths or misconceptions? It’s never too late to learn the truth and course-correct. Get started with intelligent automation, powered by AI and machine learning, by downloading your free 30-day trial of Ayehu today.