We’re happy to announce that we’re open sourcing one component of our Kafka operations toolkit: an algorithm that computes a […]
This post is the first in a series that describes our experience in adopting Apache Kafka. Here at Sift Science, […]
This week, we hosted the first session of our new summer speaking series (Turn Up The Bayes). I gave a talk on how we leverage a distributed database, HBase, to power an infrastructure that enables performant, distributed online learning. The following is a brief summary...but first, a quick introduction.Fraudsters always search for new ways to exploit opportunities at the expense of companies that provide legitimate goods and services. At Sift Science, we use real-time supervised machine learning to sabotage fraudster plots. As it turns out, the “real-time” portion of our product brings significant infrastructure challenges.