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Many companies have tried to feed business data, such as business activity, into IT or APM monitoring solutions, only to discover the data is too dynamic for static thresholds. Some companies choose to depend on analyze BI dashboards to find issues, but that leaves anomaly detection to chance. As companies have tried to solve these challenges, AI is driving a future where monitoring business data is monitored autonomously.

While it certainly isn't meant to capture the full range of the Anodot platform, it does give you a sense of how you can dig deeper into your metrics to find hidden anomalies you may not have known were there.

Anodot Chief Data Scientist Ira Cohen covers the five alert settings you should adjust to get more relevant and actionable alerts for your business metrics.

To maintain a competitive edge, fintech players must deliver reliability and availability 24/7. Learn how Autonomous Business Monitoring can accelerate time to detection and remediation and the financial impact it can have on your business.

As CSPs realize the benefits they can achieve from AI-based network monitoring they are faced with the immediate question: build our own system — or buy one? We outline the benefits and drawbacks of each approach, providing both the calculations and conceptual considerations you need to weigh in order to achieve the right decision for your organization.