Implementing a Multi-Agent KYC System
This article explores the challenges of traditional KYC systems and introduces a multi-agent approach that leverages AI agents to automate document verification, risk assessment, and compliance decisions. The system...
Read moreAI on the Fly: Real-Time Data Streaming From Apache Kafka to Live Dashboards
This article explores the importance of real-time data streaming for AI models, emphasizing how it enables instant decision-making in applications like self-driving cars and fraud detection. The author, Gautam...
Read moreChange Data Capture for Apache Phoenix Stream
This article explains how Apache Phoenix, a relational database built on HBase, has implemented Change Data Capture (CDC) to enable real-time tracking of row-level modifications. The CDC feature allows...
Read moreImplementing Write-Through Cache for Real-Time Data Processing: A Scalable Approach
This article explains how implementing a write-through cache can improve performance and data consistency in real-time data processing systems. The author, Rohith Narasimhamurthy, shares insights on using this caching...
Read moreDigital Twins Reborn: How AI Is Finally Fulfilling the Promise of IoT
Digital twins are undergoing a transformation thanks to AI, which is helping overcome past integration challenges and delivering real-world business value. This article by Tom Smith explores how AI...
Read moreDebugging Distributed ML Systems
A developer faced an issue where their ML model misclassified groceries as entertainment expenses. By implementing distributed tracing using OpenTelemetry and Jaeger, they were able to quickly identify a...
Read moreAmazon EMRFS vs HDFS: Which One Is Right for Your Big Data Needs?
This article explores the differences between Amazon EMRFS and HDFS, two storage options for big data processing on Amazon EMR. It explains how each system works, their strengths, and...
Read moreAnalysis of the Data Processing Framework of Pandas and Snowpark Pandas API
This article explores the migration of Pandas workflows to Snowpark Pandas API, emphasizing a lift-and-shift approach for scalable data processing. Prasath Chetty Pandurangan, the author, details how developers can...
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