BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Columbia Entrepreneurship - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://entrepreneurship.columbia.edu
X-WR-CALDESC:Events for Columbia Entrepreneurship
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20170101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20180926T170000
DTEND;TZID=UTC:20180926T183000
DTSTAMP:20260505T190216
CREATED:20180907T143344Z
LAST-MODIFIED:20180907T143344Z
UID:14380-1537981200-1537986600@entrepreneurship.columbia.edu
SUMMARY:Cross-device User Clustering at Adobe
DESCRIPTION:OPEN TO ALL\n\nREGISTER HERE\n\nWednesday\, September 26\, 2018\n5:00PM – 6:30PM\nSchapiro CEPSR\, Davis Auditorium (412)\n \nABSTRACT: As people now engage with digital properties using a myriad of devices such as laptops\, smart phones\, tablets\, connected TVs and gaming consoles\, the traditional cookie-based or device-level views of online user interaction are too narrow. Even when using a single device\, a person may be assigned multiple IDs due to cookie churn or the use of different browsers. Marketers are looking through a fragmented lens and are spending their marketing dollars without understanding more than a fractional part of consumer interactions.\n\n\nThis talk will give an overview of how Adobe is tackling this problem using graph processing techniques\, going over our journey from the initial research ideas to a fully productized product that works at scale running in the cloud while respecting user privacy. Focus will be on our open-source technology stack\, including Apache Spark\, GraphX\, OpenTSDB\, … along with a description of our algorithms and the challenges we went through to run them at very large scale on Amazon Web Services.\n\nBio: Charles is a data engineer/scientist at Adobe\, where he has been involved on many projects revolving around big data\, infrastructure and data science. Passionate about data\, Charles is constantly on the lookout for the newest technologies and applications related to data science at scale. After graduating with a Master’s degree in Computer Science and Artificial Intelligence from EPITA\, France\, in 2010\, Charles has since focused his career on the online advertising industry\, working at an ad network\, a Demand-Side Platform\, and currently Adobe’s Data Management Platform.
URL:https://entrepreneurship.columbia.edu/event/cross-device-user-clustering-adobe/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
END:VCALENDAR