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Big data analytics in insurance

Big data analytics in insurance
保险业大数据分析
批准号:
515901-2017
负责人:
Laviolette, François
金额:
$23.44万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
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英文摘要
The big data revolution has begun. A new kind of entrepreneurship is emerging, and businesses are movingaway 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 volumeand great variety of newly available data (e.g., social media interactions, web traffic logs, text records, imagedatabases, etc.). Intact Insurance, the industrial partner, is no stranger to the recent advancements in dataanalytics 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 theinsurer 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 onlybeing the tip of this massive iceberg. Through this Collaborative Research and Development project, IntactInsurance and the Big Data Research Center (BRDC) of Université Laval will collaborate to foster the creationof new data science technologies. Effort will be put to improve general problems of big data analytics, in thecontext of insurance: extraction of information from textual documents, identification of complex concepts inimages, making sense of sensor data, recognizing patterns to make accurate predictions. This ambitiousresearch project will lead to significant improvements to the business processes of Intact, while strengtheningthe multidisciplinary research initiatives at the BDRC and establishing the participating researchers as leader intheir respective fields. Moreover, the innovations will not only help Intact establish itself as a world leader onexploiting big data in the field of insurance, but will also affect other Canadian industries and lead to improvedproductivity, innovation and excellence.
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Interpretable Machine Learning for life science data
  • 批准号:
    RGPAS-2020-00082
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2021
  • 负责人:
    Laviolette, François
  • 依托单位:
NSERC/Intact Financial Industrial Research Chair in Machine Learning for Insurances
  • 批准号:
    529529-2017
  • 项目类别:
    Industrial Research Chairs
  • 资助金额:
    $8.09万
  • 财政年份:
    2021
  • 负责人:
    Laviolette, François
  • 依托单位:
Interpretable Machine Learning for life science data
  • 批准号:
    RGPIN-2020-05860
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.01万
  • 财政年份:
    2021
  • 负责人:
    Laviolette, François
  • 依托单位:
Big data analytics in insurance
  • 批准号:
    515901-2017
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $23.44万
  • 财政年份:
    2020
  • 负责人:
    Laviolette, François
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: