What is customer experience monitoring? Why is it so difficult? Dive into this webinar with Customer Success Engineer, Steven Kirkpatrick, to better understand what it means to effectively monitor your user’s experience from start to finish.

One of the problems with statistical outliers is that they can be difficult to detect within the context of time series data. In this post, we’ll discuss how we can tune automated detection systems so that they become integral when it comes to identifying outliers across thousands to billions of metrics.

Telcos are under tremendous pressure to reduce churn and increase ARPU. Break free from manual tracking and time-consuming root cause analysis: Anodot’s AI-driven monitoring is dynamic and adaptive enough to easily accommodate all your network complexities. Customer Success Specialist Daniel Tub shows how leading telcos use Anodot to autonomously monitor their OSS and BSS.

A recent Gartner report on AIOps, a fast-growing area of technology fusing IT operations and analytics for automated IT management, mentions Anodot as an established AIOps provider.

Looking to improve your marketing ROI? Reduce up to 10% of ad costs with automated business monitoring. Customer Success Team Lead Yonatan Lapid shows how adtech companies and marketing teams are using Anodot

How do we track and monitor the performance of machine learning algorithms? Simple - with machine learning algorithms.

This webinar gives a behind-the-scenes look at how Anodot uses its own product to monitor its customers’ health and engagement. More than 60% of tickets handled by Anodot’s support team are generated from monitoring alerts that notify us about real-time changes in our customer’s data rate and data usage. This immediacy allows our customer support team to take a proactive approach, as we often find issues before customers do.

If you’re already using Kubernetes, you’ve clearly made a commitment to digital transformation. So it hardly makes sense to be manually setting alerts, a key process in your AIOps workflow. AI monitoring is a must for a fully autonomous workflow.

Use AI to monitor your customer experience in real-time. Find and fix issues before they impact your usage, conversions, retention and revenues.