Developing Early Warning System to Identify Relevant Events in Unstructured Data with Swiss Re

Swiss Re is a leading player in the global reinsurance sector. Its role is to anticipate, understand and price risk in order to help insurers manage their risks and absorb some of their biggest losses. As one way to stay ahead of the curve and provide thought leadership to its clients, Swiss Re is developing an early warning expert community platform based around big data and natural language processing. The platform is intended to work on the front lines, to detect events that have the potential to change our view on risk drivers and to help us make business decisions in shorter timescales.

Key Takeaways:
1) The traditional methods to identify relevant events become unreliable when information volume rapidly increases

2) Uncoordinated views pose a challenge in taking proactive and strategic actions to manage risks

3) Early warning expert community platform leverages new data techniques to identify relevant signals and helps integrating experts in a more joined up process.

Nataliya Le Vine, Lead Data Scientist at Swiss Re, at the AI Applications Virtual Summit, April 2021

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