Seminar

Cross-device User Clustering at Adobe (CANCELLED)

Thursday, November 29, 2018 - 11:00am to 12:30pm
Schapiro Hall (CEPSR) Davis Auditorium
Columbia University
New York, NY 10027
United States

Columbia Data Science Institute Industry Innovation Seminars


Charles Menguy, Senior Computer Scientist

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.

People centric approach to optimize Data Science, Commercial impact and Leadership

Wednesday, November 14, 2018 - 10:30am to 12:00pm
New York, NY 10027
United States

Columbia Data Science Institute Industry Innovation Seminars

Amel Lageat, Senior Director, Consumer Business

Abstract: In a world of Infobesity, analysts, engineers, professionals, executive leaders, and people now have access to more data and analytics opportunities that we can ever make sense of. However, a genuine people centric approach can provide the sharpest guidance in designing relevant strategies and solutions: it makes data, models, and analytics more meaningful and purposeful, and also leads to marketing and commercial impact in global organizations.

Going Further: Changing the Airline Industry Beyond the Aircraft

Thursday, October 4, 2018 - 4:00pm to 5:30pm
New York, NY 10027
United States

Columbia Data Science Institute Industry Innovation Seminars

Dr. Paul Ardis, Research Mission Leader at GE Global Research

Analytics are opening up new possibilities in the aviation sector as we think beyond the airplane during flight. Putting together GE’s expertise in AI for manufacturing and service with airline passenger analytics and intelligent supply chains, we are working towards a future where efficiency and agility is realized to maximize efficiency and minimize disruption.

Semi-automated exploration and extraction of data in scientific tables

Wednesday, September 26, 2018 - 5:00pm to 6:30pm
Columbia University
New York, NY 10027
United States

Columbia Data Science Institute Industry Innovation Seminars

Ron Daniel, Jessica Cox, Corey Harper

Most of the experimental results reported in scientific articles, and recorded in databases or in supplements to the article, are provided in tables. Unfortunately, the amazing recent progress in natural language understanding is of little help if we want to automatically understand those tables. Tables are, after all, not your grandmother’s natural language. Despite this, we believe significant progress can be made towards the goal of combining tables of related information into larger sets that can be analyzed, visualized, understood, and used as the basis for decisions. Elsevier Labs is prototyping tools to help guide people in the exploration of tables from many articles and the extraction and merging of the data they contain. This talk will show examples of what has been accomplished by manually merging such data. With those as examples of the desired outcomes, we will describe our experiments to duplicate such examples, the work flow in which they operate, and our most recent results.

NY Data Science Seminar Series Presents: Jeannette M. Wing | Data for Good

Tuesday, February 20, 2018 - 5:30pm to 7:30pm
Bloomberg Center, Cornell Tech
2 West Loop Road
New York, NY 10044
United States

Jeannette M. Wing
Avanessians Director of the Data Science Institute Professor of Computer Science Columbia University
Data for Good

Reception: 5:30pm-6:30pm

Talk: 6:30pm-7:30pm

LOCATION
Bloomberg Center, Cornell Tech
2 West Loop Road
New York, NY 10044

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