Explore a real-world business case study on big data analytics in this 22-minute conference talk from GOTO Stockholm 2017. Delve into the power of graph technology and fast big data ingestion for solving complex problems like anti-money laundering and fraud detection. Learn how legacy systems, data management challenges, and the evolution of big data impact modern business solutions. Discover the potential of deep learning and innovative approaches like NeoConnections in tackling fraud and AML issues. Gain insights from Paul Smith, Data Science Director at Trifork, as he shares his experience and expertise in leveraging advanced analytics for practical business applications.
Overview
Syllabus
Introduction
Pauls background
Antimoney laundering
Welcome Calls
Fraud Detection
Corruption
Getting Lazy
Legacy Systems
Data Management
Big Data
Deep Learning
Neo
Connections
Fraud AML
Questions
Taught by
GOTO Conferences
