How AI, data analytics could help identify insurance fraud
The digital insurance platform conveniently connects mortgage and real estate companies’ customers with homeowners’ and term life policies suited to their specific needs.
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The digital insurance platform conveniently connects mortgage and real estate companies’ customers with homeowners’ and term life policies suited to their specific needs.
Accelerant, the insurtech empowering underwriters with superior risk exchange and data analytics coupled with long-term capacity commitments, today announced it has raised in excess of $190 million at a $2 billion pre-money valuation led by Eldridge, with participation from Deer Park, Marshall Wace, MS&AD Ventures, and others.
As customer demands change, placing greater emphasis on digital channels, insurers must consider how best to adapt their businesses and processes.
Raf Sanchez, Head of Cyber Services at Beazley has made the following prediction about the cyber insurance landscape for 2022.
With third-party litigation funding reaching $17 billion in 2021, companies and their insurers are likely to see an uptick in social inflation in the years to come.
The insurance industry fast-tracks technology adoption to improve customer interactions, develop competitive solutions, and optimize business processes.
Sustainability is an issue of global importance, with unique implications for insurers.
Germany suffered its costliest natural disaster on record last year, as flash floods led to damages that vastly exceeded the amount covered by insurers.
Consolidation in the insurance brokerage space is expected to continue at a rapid pace through 2022, following a trend from the last 12 months where brokerage transactions drove the majority of announced insurance merger and acquisition (M&A) activity worldwide.
For decades now the insurance industry has been capitalizing on analytics to understand and predict risk when writing policies. But what if one of those disputed claims becomes a legal matter? Wouldn’t it be prudent for insurers to apply those same kinds of analytics to understand and predict legal exposure?
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