In his presentation at the 2019 SCOR Annual Conference, Patrick Liedtke, Managing Director of BlackRock, examined the challenges of sustainable infrastructure investment in a world of growing unpredictability.
One of the rewards of societal progress is medical advancement and its ability to save and improve lives. As science and technology advance, new frontiers are opening and new challenges are coming into sight, and insurers will have an important role to play.
Technology is transforming the way people live, work and play as well as their expectations. It is also transforming the life and health insurance sector, with insurers exploring how they can deploy technologies such as Artificial Intelligence (AI) within their operations.
At the 2019 SCOR Annual Conference, Sylvain Gauden, Chief Underwriting Officer for Marine and Energy at SCOR Global P&C, led a panel that explored how industries leverage technology and data – including blockchain, big data, artificial intelligence and predictive models – to better monitor their supply chains and improve security and services. Panel members included Francoise Carli of SICMEC; Lars Henneberg of MAERSK; Michel Josset of FAURECIA; and Pauline Des Vallières of SCOR Global P&C.
TRANSFORMING LIFE INSURANCE THROUGH AI & MACHINE LEARNING
Artificial intelligence and machine learning are evolving with spectacular speed. Thibault Antoine, Head of SCOR Global Life’s Critical Illness R&D Centre, discusses the positive impact for life insurers.
The field of artificial intelligence (AI) has evolved to cover an extensive range of concepts, from cognitive computing to natural language processing to image analytics. Machine learning, which can be defined as the science and engineering of making machines “learn”, is at the heart of AI, progressively transforming the way in which life insurance and other industries operate.
Benefits of intelligent data analysis
Insurers benefit considerably from the intelligent analysis of data, also known as Text Mining, Text Analytics, or Natural Language Processing. Insurers gather immense volumes of text daily from multiple channels, including websites, email, social media networks, agents, and customer care centers. The collected information includes policies, expert and medical reports, claims, and other customer-related data. Through proven methods, text mining technology coupled with machine learning allows companies to more quickly and accurately detect natural language text patterns generally missed by conventional approaches, thus leading to improved decision making.
Text mining solution in China
SCOR Global Life’s team in Singapore developed a text mining solution to meet the needs of a client in China seeking to find an automated way to classify medical reports for critical illness claims, which would lead to better health data analysis and improved decisions in key areas. A team of SCOR Global Life’s experts worked closely with the client and presented the final machine learning algorithm, the results, and helped them deploy the solution in their IT systems.
The SCOR Global Life team continues to ensure the client masters the solution from natural language processing, which was adapted to the specificities of the Chinese language, to the algorithm.
For a closer look at SCOR Global Life’s client’s initial claims data analysis problem, watch the video below:
See how SCOR Global Life’s experts solved the client’s data problem with text mining and machine learning: