DataVisor’s David Ting, VP of Engineering, shares how DataVisor optimizes AWS to protect over 4B accounts with Unsupervised Machine Learning. David discusses how modern, coordinated fraud has rendered existing fraud detection solutions ineffective, and why DataVisor’s platform offers the next level of detection by combining unsupervised machine learning algorithms with big data technology. Next, he covers how DataVisor has optimized its AWS instance to be able to efficiently analyze billions of events in real-time. Click here to get more information about the session >> Session Abstract: Today’s cyber criminals are growing more sophisticated than ever. They use large armies of fraudulent user accounts to conduct widely distributed attacks against consumer-facing online services. Join us as David Ting, VP of engineering at DataVisor, shares how his company uses AWS technology to power the next generation of online fraud detection and protect some of the largest internet properties in the world. Interested Unsupervised Machine Learning and Big Data? Follow us on LinkedIn and Twitter. View posts by tags: DataVisor Related Content: Stay up-to-date on the latest fraud insights and intelligence. Thank you for subscribing.