Title: Applications of Data Science at a Life Insurance Company (Transamerica)
Abstract: The field of data science is exploding with some well-known high-tech companies on the leading edge of the industry. Many traditional and longer established industries, such as life insurance, are also turning to data science to stay competitive in a changing marketplace. This talk will share some of the projects in which Transamerica’s data science teams have been engaged, including attention to bias and ethics that is part of that work. Many examples will focus on underwriting for retail life insurance.
Title: Making science go faster, better, and together by harmonizing and reusing data
Abstract: Addressing complex scientific challenges requires weaving together data from diverse sources, organisms, contexts, formats, and granularities, and building a coherent holistic view of this data landscape to address any given problem is non-trivial. Often in the aggregation process, many of the original connections within the data are lost. Moreover, it is difficult to make new (inferred) connections without a common conceptual model. A common model is made possible by novel data integration strategies that leverage semantic technologies. The use of ontologies, knowledge graphs, and a common modeling framework can help span disciplinary boundaries. However, it takes the people too; robust interdisciplinary collaboration and improved data licensing and access can advance progress and innovation.
|9:00 am||9:15 am||Opening Remarks|
|9:15 am||10:15 am||Keynote Speaker: Stephanie Fitchett|
|10:15 am||10:30 am||Break|
|10:30 am||11:20 am||Education Session|
|11:20 am||12:20 pm||Lunch Break|
|12:20 pm||1:20 pm||Keynote Speaker: Melissa Haendel|
|1:20 pm||2:30 pm||Research Session |
|2:30 pm||2:45 pm||Break|
|2:45 pm||3:45 pm||Industry Session Talks|
|3:45 pm Main room & 1800||4:45 pm||Data Science Workshops|