Recommendation Engine for Real-Time Processing Use Case (Yuri Bogdanov)
465 views · Published 28 September 2018 · 22:10 · Indexed 8 November 2026
Channel: Databricks · 2018 · Science & Technology
Yuri Bogdanov, the Director of Engineering at Capital One, talks about how Capital One disrupts Financial Services industry uses real time big data processing. Use case implementing and productionizing Machine Learning will be covered displaying how Capital One applies a Machine Learning Approach to help customers getting notified in real time on incorrect charges on their credit cards. Example of analyzing and processing over 20 million transactions per day with Capital One Streaming platform and building a machine learning model to identify merchant white and black lists for real time alerts will be presented. Learn more here: https://databricks.com/session/a-machine-learning-approach-recommendation-engine-for-real-time-processing-use-case-at-capital-one Article you might like: https://databricks.com/session/old-meets-new-with-the-all-purpose-data-lake About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
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