Munchener Ruckversicherungs-gesellschaft Ag · XETR:MUV2

Munchener Ruckversicherungs-gesellschaft — Munich Re — Conference Presentation (October 2016)

14 slides from Munchener Ruckversicherungs-gesellschaft's conference presentation, Oct 24, 2016

  1. Slide 1: Innovative risk solutions using big data

    Image: Silvrshootr / Getty Images / iStockphoto Innovative risk solutions using big data Baden-Baden, 24 October 2016 Ludger Arnoldussen, Wolfgang Hauner

  2. Slide 2: Munich Re fosters innovation throughout the global organisation

    Munich Re fosters innovation throughout the global organisation Strong focus on tangible business impact Significant focus on innovation … … with significant impact on business already today Innovation Innovation scouting infrastructure 1 Innovation labs Ideation Corporate partnering  Innovation-re

  3. Slide 3: Big data is challenge and chance for insurance industry

    Big data is challenge and chance for insurance industry Augmented and virtual worlds  Large amounts of previously unavailable data 3D Printing Computing Loc-based services and sophisticated analysis methods uncover Everywhere Telematics Smart Home hidden data treasures Industrialization 4.0 Digital

  4. Slide 4: What is big data?

    What is big data? Data is now available in completely new qualities and quantities: Zettabyte Exabyte Petabyte Terabyte Gigabyte Megabyte Kilobyte Byte 40,000,000,000,000,000,000,000 Google, 1 Bit: Facebook, All the words Data contained 4 KB Commodore Yes or No Microsoft … ever spoken by in a librar

  5. Slide 5: Big data use cases in insurance

    Big data use cases in insurance Make the uninsurable insurable Extensive in-depth analysis of the available information. For example, wind farm yield cover reduces financial risk when investing in sustainable energy by processing data about wind speed, turbine performance, weather history, etc. Imag

  6. Slide 6: Potential of data analysis for insurance portfolios

    Potential of data analysis for insurance portfolios Our advantages include Current policy Predicted policy sales  our extensive (re-) insurance-specific knowledge distribution of client potential of client  high-end technological infrastructure  top data science and data engineering teams Using c

  7. Slide 7: Early loss detection use case

    Early loss detection use case Losses due to fire events Is one of our insured buildings affected? Has the risk changed?  Fully automated monitoring of around 7,000 digital news sources (approx. 250 GB) every day → early detection  Automated alerts, via email for example, provide information about

  8. Slide 8: Oil & gas supply chain monitoring use case

    Oil & gas supply chain monitoring use case What is the supply chain structure of an insured company?  With Energia, use of big data analytics to better identify critical parts and paths within an insured’s supply chain, combining internal and external data  Automatically extract information from t

  9. Slide 9: M.I.N.D. use case: Risk management platform for nat cat pools

    M.I.N.D. use case Risk management platform for nat cat pools Disaster: Where is the risk? How high are the costs?  M.I.N.D.: Processing huge amounts of information on losses, Loss Adjuster assets and other information on one platform  Efficient and pro-active risk management  Deeper insight by co

  10. Slide 10: What does the future hold for us: Artificial Intelligence

    What does the future hold for us: Artificial Intelligence Time We are here State-of-the-art AI DeepMind’s Go player, autonomous driving True AI Any task a human can do Insurance specific AI Process automation, visual claims, smart underwriting Basic AI Navigation, chess computer Complexity For examp

  11. Slide 11: Innovation at Munich Re: Making it work

    Innovation at Munich Re: Making it work Source: RID Innovative risk solutions using big data 24 October 2016 11

  12. Slide 12: Summary

    Summary  Digitalisation and new technologies will affect the risk landscape. With all its related opportunities for growth and the challenges it presents, innovation is crucial for the insurance industry  Large amounts of previously unavailable data and sophisticated methods of analysis will impro

  13. Slide 13: Disclaimer

    Disclaimer This presentation contains forward-looking statements that are based on current assumptions and forecasts of the management of Munich Re. Known and unknown risks, uncertainties and other factors could lead to material differences between the forward-looking statements given here and the a

  14. Slide 14: Thank you very much for your attention.

    Image: Silvrshootr / Getty Images / iStockphoto Thank you very much for your attention. Baden-Baden, 24 October 2016 Ludger Arnoldussen, Wolfgang Hauner © 2016 Münchener Rückversicherungs-Gesellschaft © 2016 Munich Reinsurance Company

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