Reactive to Preventive: Managing Fraud with Databricks, OpenCV, and GenAI
Transformación de detección de fraude reactiva a preventiva en tiempo real utilizando IA, visión por computadora y análisis de datos avanzados para mejorar la precisión y velocidad en la industria de seguros.
Event Streaming Applications with Kafka Streams, Spring Kafka, and Actuator
Explore event streaming with Kafka Streams, Spring Kafka, and Actuator. Learn to build scalable, fault-tolerant applications using live coding examples for consumers, producers, and fraud detection streams.
Saving Lives and Money - Fighting Human Crimes and Financial Fraud
Explore how financial crime prevention experts can combat human trafficking, child exploitation, and fraud, leveraging their skills to save lives and stop human crimes.
Look Far Afield - Metaverse Security Secrets from the Gaming Industry
Discover security strategies for virtual worlds by examining fraudster tactics in online gaming. Learn to deter adversarial attacks where identity verification is challenging, even for legitimate users.
Real-time Fraud Detection Challenges and Solutions
Explore real-time fraud detection challenges and solutions using machine learning and the Hazelcast platform for rapid, scalable decision-making in microseconds.
Data and ML Takeaways After One Year in Fraud Decision Making at Monzo
Explore key insights on data and machine learning in fraud detection from a Monzo ML scientist's year-long experience in digital banking.
Identities as the Bedrock for Google Cloud Security
Explore identity choices, workload federation, access policies, and policy intelligence tools for enhanced Google Cloud security. Learn from L'Oreal's implementation.
Clean Code for Data Scientists - MLOps Coffee Sessions
Explore clean coding practices for data scientists, Shopify's real-time serving platform Merlin, and insights on LLMs in production with Matt Sharp, Data Developer at Shopify.
Anomaly Detection for Finance
Explore advanced techniques for identifying financial irregularities, enhancing risk management, and safeguarding assets in the complex world of modern finance.
Building a Fraud Detection Model with Feature Stores - Includes Shopify Case Study
Develop a real-time fraud detection system using ML data pipeline tools. Learn to build, deploy, and serve data pipelines with Feast and Tecton. Explore architectural patterns and model stages.
Fraud Detection Use Case with Red Hat OpenShift Data Science
Explore hands-on fraud detection techniques using a practical GitHub repository, guided by experienced software engineers.
Enhancing Privacy and Security with ZKP and Encryption in Hyperledger Fabric
Explore advanced cryptographic techniques for data privacy in Hyperledger Fabric. Learn about Zero Knowledge Proof, Homomorphic Encryption, and their applications in various industries.
Leveraging Machine Learning to Create a Reliable Anti-Fraud System
Discover how to build effective ML-based anti-fraud systems, exploring implementation challenges, ensemble models, and operational workflows for mobile gaming and fintech applications.