AGCS partners with US InsurTech Praedicat to identify next generation liability risks through big data

Press Release | May 11, 2017 | London/New York/Munich/Singapore
  • Partnership aims to find new ways to better predict future liability catastrophe risks and gain insights on emerging risks and new business opportunities.
  • Praedicat’s data analytics and predictive exposure modelling complements AGCS’s portfolio analysis and risk assessment approach.
  • AGCS Board Member Hartmut Mai: “Forward-looking models will transform insurance underwriting. This partnership empowers our underwriters to be data scientists.”
  • Joint series of publications on emerging liability risks to be released – nanotechnology is the first in a series.
Allianz Global Corporate & Specialty SE (AGCS), the corporate insurance carrier of Allianz SE, is working with Praedicat, the InsurTech analytics company based in Los Angeles, to better predict the key catastrophe liability risks of the future. By combining Praedicat’s forward-looking predictive modelling approach with AGCS’ underwriting processes and extensive liability risk portfolio analysis, the companies aim to identify the next generation of catastrophe liability risks for business customers far earlier than under current methods. Praedicat’s modeling engine uses machine learning technology to scan large volumes of data from peer-reviewed science publications and profile the likelihood that products or substances will generate litigation risks over their lifecycle. 
By complementing the traditional experience-based underwriting and portfolio management of liability risks with predictive analytics, AGCS and Praedicat aim to combine the best of both approaches in this new risk assessment methodology.  Using forward-looking data models in addition to historic loss data analysis and risk engineering assessments, AGCS liability underwriters globally will be able to better identify and assess future liability risks for industries or single companies. Asbestos, which caused insured losses of USD 71 billion globally until 2011 (Swiss Re, Sigma No 02/2012), is one high profile example of such a man-made liability disaster.
“Forward-looking models will transform insurance underwriting. Through this collaboration we hope to change the core role of underwriters, freeing them up from the daily paper grind and empowering them to be data scientists,” said Hartmut Mai, Chief Underwriting Officer and Board Member, AGCS. “Emerging risks are challenging to quantify for an insurer. But now, AGCS underwriters will be able to identify emerging liability catastrophe risks with increased confidence based on in-depth data. Embedding these new tools into our underwriting process not only enhances the quality and efficiency of our  decision making, it also allows us to be true partners for our corporate clients through improved risk identification, potentially far in advance of current screening approaches.”

Praedicat’s modeling engine uses advanced machine learning technology to process large volumes of data from peer-reviewed science publications and profile the likelihood that products or substances will generate litigation risks over their lifecycle. When risk agents, or “named perils” are identified, they are tracked over time as new data emerges and increasingly shapes scientific acceptance of the risk. Praedicat has further developed a database of industry and company exposures to the named perils.

“With forward-looking models, machine learning, and algorithmic search, the insurance sector is in the midst of transformation,” says Robert Reville, Chief Executive Officer at Praedicat. “These new technologies are driving competitive advantage. Praedicat is very proud to be working closely with AGCS in its commitment to the new technologies to drive the future of underwriting of corporate risks.”

There is a large degree of liability stemming from emerging risk, although just how much is not effectively measured today. Bringing together scientific and risk management expertise, both companies work closely to get in front of emerging risks that could have an impact on industry segments, such as nanotechnology in the food and beverage industry. The two companies have just published a paper on nanotechnology risks, Emerging risk: Nanotechnology in food, the first in a series of reports looking at emerging liability risks.

“AGCS will help clients understand potential emerging liability risks and their impact on their company while providing innovative solutions”, said Michael Hohmann, Global Head of Liability, AGCS. “We will use the Praedicat data and tools to help our clients achieve better product stewardship and to tailor their insurance program to their specific risk profiles.”

Allianz Global Corporate & Specialty (AGCS) is a leading global corporate insurance carrier and a key business unit of Allianz Group. AGCS provides risk consultancy, Property-Casualty insurance solutions and alternative risk transfer for a wide spectrum of commercial, corporate and specialty risks across 12 dedicated lines of business.

Our customers are as diverse as business can be, ranging from Fortune Global 500 companies to small businesses, and private individuals. Among them are the world’s largest consumer brands, tech companies and the global aviation and shipping industry, but also wineries, satellite operators or Hollywood film actors. They all look to AGCS for smart answers to their largest and most complex risks in a dynamic, multinational business environment and trust us to deliver an outstanding claims experience.

We constantly strive to deliver the best for our customers through our global team of around 4,400 employees from over 70 nationalities in 34 countries worldwide. As the one of the largest Property-Casualty units of Allianz Group, we are backed by strong and stable financial strength ratings and a global network in over 200 countries and territories. In 2018, AGCS generated a total of €8.2 billion gross premium worldwide.

Praedicat is a science-based data analytics company that offers a revolutionary new approach to emerging risk, working with (re)insurers and corporates to manage liability exposure and capture opportunity for better risk management and product stewardship.

Our mission is to use science-driven risk analytics to help companies evaluate the current state of the science around emerging risk and look ahead to determine how science might evolve. Armed with actionable foresight, clients are empowered to lead the marketplace in profitability as well as consumer health and safety.

Praedicat was formed in 2012 by RAND Corporation and Risk Management Solutions, Inc. when the need to improve identification and prioritization of emerging risks collided with the availability of cutting edge knowledge engineering and modeling technology. Since then, Praedicat has been named by CIO Review as one of the top 20 most promising insurance technology solution providers. Our top-tier clients include corporations in the insurance, reinsurance, and global industrial and chemical markets. For more information please visit their Website, Twitter or Linkedin.

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