Building an Operational Machine Learning Organization from Zero and Leveraging ML for Crypto Security

Introduction to BlockFi and what we do as a crypto company. Our journey with Databricks:

  • Building a cross functional ML team
  • Scoping business problems to get executive buy in
  • Conveying a strategic vision for ML at your organization
  • Operationalizing ML & Data Science to solve business challenges
  • Building clear business objectives for your ML Projects

Blockchain Analytics for security and risk identification

  • Unique security problems in crypto
  • Estimated costs of fraud, account take over, and possible regulatory fines (eg: OFAC Sanctioned entities)
  • Graph theory and blockchain analysis problems at scale
  • Using Nvidia Rapids, Apache Arrow & Graphistry with Databricks
  • Onboarding business teams into Databricks for collaboration

Using ML to improve platform stability and ITOps

  • Crypto never sleeps: 24x7 trading
  • Cost of an outage
  • Forecasting techniques and libraries + tradeoffs (simple regression, prophet, sarimax)
  • Integrating non-traditional indicators/features to forecast IT infrastructure and platform behaviors
  • Operationalizing predictions for early warning to O11y tools l

Video Slides