Grant: Collaborative Research and Development Grants
Université Laval
$321,739.00
Big data analytics in insurance
FY 2018-19
Summary
The big data revolution has begun. A new kind of entrepreneurship is emerging, and businesses are moving*away from solely relying on hard-won human experience to rather favor innovative data-driven approaches,*which are more accurate, cost effective and robust. Their main motivation is to take advantage of the volume*and great variety of newly available data (e.g., social media interactions, web traffic logs, text records, image*databases, etc.). Intact Insurance, the industrial partner, is no stranger to the recent advancements in data*analytics and foresees the tremendous potential that the big data paradigm has to offer to the insurance industry.*This paradigm shift implies the creation of data-driven processes for important aspects of insurance businesses,*such as estimating the risk, detecting frauds, simplifying subscriptions, forecasting long-term costs of sinisters,*or accelerating claim processing. Any improvements on these processes will result in benefits both to the*insurer and the customers, by reducing costs to both parties and improving service delivery.*A lot of research is currently devoted to the extended family of data sciences, Artificial Intelligence only*being the tip of this massive iceberg. Through this Collaborative Research and Development project, Intact*Insurance and the Big Data Research Center (BRDC) of Université Laval will collaborate to foster the creation*of new data science technologies. Effort will be put to improve general problems of big data analytics, in the*context of insurance: extraction of information from textual documents, identification of complex concepts in*images, making sense of sensor data, recognizing patterns to make accurate predictions. This ambitious*research project will lead to significant improvements to the business processes of Intact, while strengthening*the multidisciplinary research initiatives at the BDRC and establishing the participating researchers as leader in*their respective fields. Moreover, the innovations will not only help Intact establish itself as a world leader on*exploiting big data in the field of insurance, but will also affect other Canadian industries and lead to improved*productivity, innovation and excellence.
Program
Collaborative Research and Development Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
515901-2017
Name nom
Laviolette, François
Department département
Informatique et de génie logiciel
Organization id
51
Institution établissement
Université Laval
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
321739
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Partie
1
Nb partie
1
Application title
Big data analytics in insurance
Keyword
NSERC
Application summary
The big data revolution has begun. A new kind of entrepreneurship is emerging, and businesses are moving*away from solely relying on hard-won human experience to rather favor innovative data-driven approaches,*which are more accurate, cost effective and robust. Their main motivation is to take advantage of the volume*and great variety of newly available data (e.g., social media interactions, web traffic logs, text records, image*databases, etc.). Intact Insurance, the industrial partner, is no stranger to the recent advancements in data*analytics and foresees the tremendous potential that the big data paradigm has to offer to the insurance industry.*This paradigm shift implies the creation of data-driven processes for important aspects of insurance businesses,*such as estimating the risk, detecting frauds, simplifying subscriptions, forecasting long-term costs of sinisters,*or accelerating claim processing. Any improvements on these processes will result in benefits both to the*insurer and the customers, by reducing costs to both parties and improving service delivery.*A lot of research is currently devoted to the extended family of data sciences, Artificial Intelligence only*being the tip of this massive iceberg. Through this Collaborative Research and Development project, Intact*Insurance and the Big Data Research Center (BRDC) of Université Laval will collaborate to foster the creation*of new data science technologies. Effort will be put to improve general problems of big data analytics, in the*context of insurance: extraction of information from textual documents, identification of complex concepts in*images, making sense of sensor data, recognizing patterns to make accurate predictions. This ambitious*research project will lead to significant improvements to the business processes of Intact, while strengthening*the multidisciplinary research initiatives at the BDRC and establishing the participating researchers as leader in*their respective fields. Moreover, the innovations will not only help Intact establish itself as a world leader on*exploiting big data in the field of insurance, but will also affect other Canadian industries and lead to improved*productivity, innovation and excellence.