A real-time fraud intelligence platform requires machine learning capabilities, instant response times, and to be truly effective – customizability by industry and the right level of human intervention. Simility has implemented a sophisticated platform, both as a service as well as on-premises software, delivering rapid fraud analytics across millions and billions of data points. To ensure high performance and rapid response times, Simility incorporated Redis in a complex scale-out microservices-based architecture to process millions of transactions per hour, as experienced by their more intense financial services and travel customers. Redis provided the reliable seamless scaling and high availability they needed for effortless operation of their powerful application.
Join this session to learn more about how Simility implements real-time detection of fraudulent behavior and their use of Redis to maximize scale and availability.
|When:||January 31st, 2017|
|Featured Speaker:||Ravi Sandepudi, VP of Engineering, Simility|
Leena Joshi, VP of Product Marketing, Redis
|Audience:||Redis and NoSQL Users|
Ravi is the Head of Engineering at Simility, a startup developing cutting-edge fraud detection and prevention solutions. His team is responsible for building state-of-the-art rule and AI engines that analyze billions of transactions a day. Before Simility, Ravi was an engineer and a manager at Google’s Trust & Safety group. There, he worked on systems that helped prevent various forms of fraud and abuse on Google’s search and ad products.
Leena has spent over fifteen years in the high tech industry in a variety of product marketing and product management roles. Most recently, she spent five years leading the Splunk solutions marketing team for IT operations, application management, and application development. Prior to Splunk, she led product marketing for VMware’s flagship product VMware vSphere. She has also held product management and business operations roles at VMware, Intel, and Accenture. Leena has a Bachelor of Engineering degree in computer technology from VJTI (the University of Mumbai), and a post-graduate degree in management from the Indian Institute of Management Calcutta.