Join us to learn how leading organizations like Coinbase, Plaid, and Tide are improving their fraud detection capabilities by modernizing their data infrastructure. Through technical deep-dives and real-world examples, we’ll explore:
Common challenges and best practices for productionizing fraud detection data:
– Approaches to unifying batch and streaming data processing
– Methods for ensuring the delivery of fresh features at scale
– Strategies for reducing data engineering complexity without compromising reliability
source
