Building an Operational Machine Learning Organization from Zero and Leveraging ML for Crypto Security
Type
- Session
Format
- Hybrid
Track
- Industry and Business Use Cases
Industry
- Financial Services
Difficulty
- Intermediate
Room
- Moscone South | Upper Mezzanine | 159
Duration
- 35 min
Overview
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 like Grafana & DataDog
In closing: revenue generated and cost savings calculations.
Session Speakers
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