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.
The Real-Time Journey from Raw Streaming Data to AI-Based Analytics
The Journey to Intelligent Payment Operations
In today’s payments ecosystem, the ability to monitor and use payment data effectively represents a real and essential competitive advantage. Intelligent operations should be a strategic goal for the entire company, and when executed properly, will enable you to build a future-proof payment operations infrastructure. With the increased proliferation of AI technologies, the payment operations […]
Customer Success Spotlight: PUMA
The core value Anodot delivers to customers is AI-powered, autonomous monitoring of critical business KPIs in order to protect revenue and manage costs. But Anodot’s value extends beyond our product — to our people. Each Anodot customer has a dedicated Customer Success Manager (CSM) to ensure they are getting maximum value and ROI from Anodot’s […]
AI-Powered Monitoring Could Have Saved Millions for Global Bank
AI-driven business monitoring could have prevented expensive glitch for Santander Bank As most people were preparing to celebrate the new year, the UK’s Santander Bank was dealing with a crisis. On Christmas day, roughly 75,000 people who received payments from companies with accounts at Santander Bank received a duplicate payment transaction. The total damage amounted […]