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ML Data Pipelines for Real-Time Fraud Prevention @PayPal

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Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2LTonez.

Mikhail Kourjanski focuses on the architectural approach towards PayPal’s internally built real-time service platform that leverages Machine Learning models and delivers performance and quality of decisions. This platform has established a balance between Big Data and sustainable support for a high volume of real-time decision requests. Filmed at qconnewyork.com.

Mikhail Kourjanski is the lead data architect at PayPal, responsible for the data architecture of the PayPal real-time decisioning platform that handles billions of events per day and maintains dozens of petabytes of data. He has over 20 years of work experience, including high-tech software engineering, academic research, and consulting for the Financial Services industry.

Publicada em: Tecnologia
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ML Data Pipelines for Real-Time Fraud Prevention @PayPal

  1. 1. InfoQ.com: News & Community Site • 750,000 unique visitors/month • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • News 15-20 / week • Articles 3-4 / week • Presentations (videos) 12-15 / week • Interviews 2-3 / week • Books 1 / month Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ paypal-ml-fraud-prevention-2018
  2. 2. Presented at QCon New York www.qconnewyork.com Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide
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