Mitch Wein
Head of Financial Services Executive Partner Service, Aite-Novarica Group and Contributor at Freelance
Datos Insights: Executive Principal
Articles
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1 month ago |
datos-insights.com | Caitlin Simmons |Mitch Wein
The property and casualty (P&C) insurance industry is undergoing a significant technological transformation. The Datos Insights report, Competitive Capabilities for Property and Casualty Insurers 2025, provides valuable insights into how P&C insurers are leveraging technology to gain competitive advantages across various functional areas.
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1 month ago |
datos-insights.com | Mitch Wein |Robin LoGiudice
The specialty insurance market continues its rapid evolution as insurers adapt to changing regulations, emerging risks, and technological advances. Despite pockets of hard markets in areas like coastal property and cyber insurance, rates in many lines of business continue to moderate, putting pressure on insurers to find efficiencies. Specialty insurers are operating in a market with increasing underwriting capacity and moderating rate increases for many lines.
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2 months ago |
datos-insights.com | William Trout |Mitch Wein |Deb Zawisza |Robin LoGiudice
Contract disputes over data licensing and usage rights are a significant issue in the financial services industry. A case in Canada recently covered in Ignites involving BNY Mellon highlights patterns in how enterprise data contracts can be mishandled, particularly in large organizations with multiple divisions and subsidiaries.
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2 months ago |
datos-insights.com | Deb Zawisza |Mitch Wein |Robin LoGiudice
The insurance industry is facing a high-stakes showdown. In one corner stands private equity, armed with billions in funding and an appetite for litigation returns. In the other, insurers are deploying artificial intelligence and predictive analytics in an increasingly sophisticated defense. When private equity (PE) firms enter insurance litigation, they bring Wall Street expectations—typically targeting 20%+ returns on their investments.
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2 months ago |
datos-insights.com | Gabrielle Inhofe |Mitch Wein |Deb Zawisza |Robin LoGiudice
As financial crime tactics become increasingly sophisticated, financial institutions (FIs) are gradually turning to artificial intelligence (AI) for solutions to detect potentially fraudulent activities and transactions. Integrating AI can support higher predictive accuracy, but AI models are often opaque—“black boxes” lacking transparency into how the models arrive at their fraud risk predictions. This lack of interpretability is particularly concerning for fraud detection use cases.
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At 1PM ET Thursday, November 10th, my Q&A series for #financialservices and #bank #ITleaders continues with a discussion on #openbanking, #ITtalent, #DLT, and #multicloud #technologyarchitecture for #financialinstitutions. Register here: https://t.co/TOOOIZd8Ge https://t.co/MohZRhodq7
Learn the #financialservices #digitaltransformation change management challenges and successes #financialinstitution #CIOs/#CTOs shared during @AiteNovarica recent FS CIO/CTO Research Council meeting. Read my blog: https://t.co/wOFoKI0hyA https://t.co/jyk4AgTp4Q
My #CIO/#CTO Checklist: #Blockchain and #DLT is live on the @AiteNovarica website. Interested in learning more about preparing #financialinstitutions for digital assets? Join my virtual Q&A session on 10/25 at 1PM ET to get your questions answered: https://t.co/H0r7Gij4iP https://t.co/SdRmY6KNVo