Where will automation and AI go in 2019?

No one know what the future might hold, but we’re taking our best stab at it with some pretty educated guesses. The new year is just around the corner and we’ve asked a number of experts what they think is in store for developers in 2019.

Obviously, nothing is set in stone. However, we’re spending the next week talking to experts in the field about where the tech world will go in 2019. Today, we’re hearing from Richard Whitehead on the future of AI and other kinds of automation. Will the rise of automation technologies put us all out of a job? Not necessarily!

Without further ado, let’s see what our experts had to say!

god rest ye merry gentleman

As we look forward to 2019, its difficult to ignore the role that AI is going to play in replacing legacy systems and being part of new deployments. It is now generally accepted that IT Operations teams are going to have to learn new data science skill sets at some point. If you implement technologies like AIOps, then decisions need to be made based on the results these new technologies present. Therefore, it is crucial that teams fully understand why they are making decisions on what can be very complex issues. After all, these decisions impact both IT and the business as a whole.

However, for the foreseeable future, I don’t see IT teams shrinking in size. There has been an industry-wide push for efficiency, but what we can expect in the next few years is re-skilling our employees to accomplish new and innovative initiatives.

We’ve been hearing the same IT-related complaints for the last twenty years, and with the rise and implementation of AI technologies, we’re finally able to circle back to those issues. The biggest wins we’ll see for the industry next year is that we’ll finally be able to resolve decades-old challenges in infrastructure observability and noise reduction. In a modular IT system, components act independently of one another. Therefore, to understand what the system is doing you have to be able to observe it from end-to-end.

Modularity also means that the overall performance of the system can’t be analysed by viewing a single snapshot. Consequently, organizations require more data from IT systems to be able to get an insight into what is going on. However, datasets have become so large and diverse it is impossible for the unaided human eye to process data patterns intelligently. This is where AI can really make a difference, providing IT Ops teams with the tools and eyes they need so that they can fully evaluate how the system is performing.

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When we apply automation technologies to IT operations today, we’re able to see up to a 99 percent reduction in noise. Over the next decade, experts and innovators will continually be pushing to eliminate that extra one percent. While at first that might sound like such a minimal accomplishment, the exponential increase in data and information makes this a monumental task.

Finally, implementing automation and IoT in our lives has plenty of benefits, but the opportunity for weaponization is also present. This isn’t unique, though, as all technology has faced weaponization in the past. What’s absolutely necessary for the future is that data scientists and security experts work in unison to ensure safety and protection.

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