Operations | Monitoring | ITSM | DevOps | Cloud

You probably have been hearing a lot about automation and artificial intelligence (AI) these days, with a vision of some kind of AI-driven world that will take all of our jobs away. The reality is that there’s always too much work to do. AI and automation are more likely to help people get their jobs done more efficiently rather than take them away. Basic automation can have large returns for the network – and improve the quality of work.

Network monitoring is a challenging job because networks continue to evolve to meet ever-changing client requirements. Businesses today heavily depend on their networks, and even a short outage can lead to penalties and lost profits. This is why your monitoring tool must also transform itself to not only scale as you grow but offer new features that address new challenges posed by the increasing usage demands placed on your network.

Customer expectations aren’t what they used to be. Emerging technology trends have elevated the customer experience by bringing personalization and automation to the forefront. With these strides, companies have increased their customers’ expectations ten-fold. To meet rising customer expectations, the only solution is AI. While we’re only scratching the surface, here are a few ways AI can help improve your customer engagement.

Unlocking the full potential of monitoring through ML integration, anomaly detection, and innovative scoring engines. Machine Learning has been making waves in various industries, but its adoption in the monitoring and observability space has been slower than expected. Many “ML” features remain gimmicky and do not provide actual real world value to users that encourages their further use.