September 18, 2018
18 September 2018
On 17 September INRIA[1], the French Institute for Research in Computer Science and
Automation, announced the creation of a consortium to promote and develop scikit-learn, a
leading software machine learning library used by data scientists around the world. In joining this consortium BNP Paribas Cardif will expand its role in collaborative data science platforms and deepen the company’s expertise in this field, which will play an increasingly important role in tomorrow’s insurance services.
Scikit-learn is a free software machine learning library. A reference for data science experts, scikitlearn currently counts 526,000 users per month for a wide variety of applications such as forecasting user behaviour, fighting online fraud and spam, optimization of industrial and logistics processes and targeted marketing, for example.
A consortium has been created with support from the INRIA Foundation to develop and stimulate the scikit-learn ecosystem. In particular this will facilitate the integration of new contributions, along with the addition of ambitious new features to serve the vast community of scikit-learn users and developers.
As an insurer, BNP Paribas Cardif is a company whose management is data-driven. Because data science plays a pivotal role in the client experience and the design of tomorrow’s insurance solution, BNP Paribas Cardif is looking forward to playing an active role within the new consortium.
In becoming a member BNP Paribas Cardif also affirms its commitment to open source development. The insurer will actively support the growth of scikit-learn and contribute to defining strategic priorities.
Transforming data into value for clients: a top priority for the insurance industry
BNP Paribas Cardif has worked to embed digital solutions in every aspect of its operations since 2013.
Digitization figures at the centre of the BNP Paribas Cardif 2020 strategic plan. These solutions enable greater volumes of more diverse data to be gathered and valorized to benefit the company’s policyholders and distributor partners.
Analyzing data enables BNP Paribas Cardif to optimize the customer journey, refine its offers and define new solutions. By leveraging data BNP Paribas Cardif aims to automate 80% of its processes by 2022.
The company’s data-related efforts are led by its Data Lab’, a centre of expertise with a secure
environment dedicated to developing and applying algorithms designed to improve its services.
The BNP Paribas Cardif Data Lab’ is equipped with:
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An IT environment with high-performance computing power,
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An algorithm management and monitoring platform,
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An open research & development ecosystem.
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The algorithms developed have led to the tools capable of automating verification of certain insurance policy clauses, processing supporting documents and providing compensation for claims, among other applications. All these applications flow through to tangible improvements in the client experience, risk prevention, business development and service quality.
An initiative in Spain involving management of creditor insurance claims, for example, is targeting 80% automated decisions. Thanks to artificial intelligence, BNP Paribas Cardif will be able to automatically analyze client documents and in some instances make monthly payments without waiting for policyholders to provide all the supporting documents needed. A third of clients will thus receive immediate approval following a claim. For applications requiring additional information, the claim application will be processed within four hours after documents are received. The goal is to respond as rapidly as possible to enrich the client experience.
“Open source software and free libraries such as scikit-learn play an essential role in the advancement of data science and make an active contribution to the development of innovative offers and services. We are proud to be a stakeholder in the scikit-learn consortium and to support the growth of this reference in the data science ecosystem,” says Michael de Toldi, Chief Analytics Officer of BNP Paribas Cardif.