Roy Ben-Alta, solution architect and principal business development manager at Amazon Web Services, and Anodot’s Chief Data Scientist Dr. Ira Cohen present various design patterns and share a solution implemented using Amazon Kinesis as a real-time event data processing pipeline. It feeds Anodot’s AI analytics service, discovering and alerting on the anomalies in the data in real time and helping you avoid costly business incidents.
Webinar: The Real-Time Journey from Raw Streaming Data to AI-Based Analytics
Featured resources
Elevating Banking Excellence: Anodot’s Real-Time Monitoring Revolution
In a recent article published by Economic Times on Dec 29, 2023, titled “Banks Told to Explore Dashboard with Real-Time Info on Services,” the Reserve Bank of India (RBI) has urged banks to embrace real-time transparency through the creation of an online dashboard. Anodot, a leader in business monitoring, is at the forefront of transforming […]
Safeguarding Cryptocurrency Exchanges: The Power of Machine Learning Monitoring
Companies that use artificial intelligence and machine learning to independently monitor databases and the data that’s being stored are reaping huge wins in saved time and costs. And it’s typically the DataOps teams that can take this project on to success.
Alert Tuning Recommendations: Reinventing Anomaly Alerts with Anodot
In the complex and dynamic realm of data analytics, real-time anomalies serve as insights to issues a business faces. A pervasive and enduring conundrum persists: accurately discerning between anomalies of significant importance and those of lesser consequence. This distinction is a nontrivial task as not all anomalies bear the same weight. Certain deviations signal crucial […]