Blockchain technology represents a new paradigm for applications in fintech and beyond. It requires new approaches to age-old problems: How do you track criminals, derive BI insights and fight fraud in a blockchain-powered world? While the decentralized nature of the blockchain presents challenges to easily understanding the movement of money, the immutable, shared ledger also represents a tremendous opportunity for behavioral analytics at scale. As blockchain adoption continues to accelerate, organizations big and small need to understand the systems required to efficiently and quickly analyze the wealth of complex information available.
Since 2014, BlockCypher has been on the forefront of blockchain infrastructure. This session will describe how BlockCypher built machine-learning and graph traversal systems on Apache Spark to help both government organizations and private businesses stay informed in the brave new world of blockchain technology. The speakers will share their experiences and the lessons they learned combining these two bleeding-edge technologies, and how these techniques can be applied to private and federated chains.
Session hashtag: #SFexp11
Karen Hsu is the Head of Growth at BlockCypher. With over 20 years of experience in software applications and infrastructure, Karen is co-inventor for four patents and worked in a variety of engineering, marketing, and sales roles. At Siebel System, Informatica, Datameer and SugarCRM, she has led teams to bring new products to market. She has also worked closely with financial standards organizations, such as SWIFT, ACORD, and FpML.
Bryan is a backend developer and analytics lead at BlockCypher. Since 2015, he has worked on infrastructure powering bitcoin and other blockchains. As analytics lead, Bryan works to combine BlockCypher's experience with blockchains of all sizes with the latest in machine learning and big data analytics to help governments and private industry stay informed and secure. Prior to BlockCypher, Bryan co-founded a startup and lead a network access control team at UC Berkeley, where he graduated with a BS in Materials Science and Mechanical Engineering. When not hacking in Spark or writing golang, Bryan can be found learning Rust, riding