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
Overcoming Data Challenges in Payment Monitoring
The total transaction value of digital payments is projected to exceed $1.7 billion by the end of 2022. Each one of these transactions generates masses of data that contains critical insights for merchants, payment service providers, acquirers, fintechs, and other stakeholders in the payments ecosystem. Having real-time access to these insights has the power to […]
Intelligent Payment Operations
In today’s payment ecosystem, the ability to monitor and use payment data effectively represents a real competitive advantage. Intelligent payment operations enables organizations to build a future-proof operations infrastructure. In a recent webinar hosted by Anodot, we talked to a panel of experts in payments operations to discuss how to leverage data to optimize payment […]
How merchants can protect revenue with AI-powered payment monitoring
Smooth payment operations are critical for every merchant’s success. At its most basic level, a seamless and reliable payment process is the key to assuring transaction completion, which is at the very core of a merchant’s financial strength. However, when payment data systems fail to deliver insights about issues regarding approvals, checkouts, fees or fraud, […]