Coffee Talk: Digital Transformation & AIOps: The Future of IT

“Hmmm, I hadn’t thought of that!” When you implement AIOps, you’ll find yourself saying that often! The rise of automation has helped network operators do a better and better job optimizing their networks and providing reliable service. One of the most influential drivers of those improvements is you're learning more and more about your networks as you manage them, and applying that learning where and when you can. Thanks to Machine Learning (ML), Artificial Intelligence (AI) connected to your network learns more about it faster than we humans ever could. When such AI becomes one of your partners in managing the network, it is referred to as AIOps. AIOps collects, analyzes, and makes recommendations based on a variety of sources, including the network traffic itself, environmental factors, and data coming from other systems connected to yours. In many cases, AIOps will identify opportunities for network improvement that you hadn't thought of! In this session, we’ll examine the growth of AIOps, discussing not only how it can be applied to accelerate improvement to networks, but also how cautious humans can assure that it remains under control and positively productive.