Why insurance innovation ambitions keep stalling (www.techradar.com)

🤖 AI Summary
The insurance industry is facing a significant innovation gap, with a growing desire to adopt advanced technologies like AI and blockchain, yet struggling with operational readiness. While 82% of insurers recognize that AI will shape their future, only 14% have fully integrated it into their operations. Key barriers include outdated legacy systems, fragmented data environments, and a lack of in-house AI expertise, which lead to prolonged settlement cycles and operational inefficiencies. These challenges stem largely from poor data governance; more than half of insurance firms describe their data frameworks as still developing, which complicates AI deployment and increases the risk of amplifying existing dysfunctions. For innovation to succeed, insurers must prioritize robust operational infrastructure, including automated reconciliation for data accuracy and standardized formats to facilitate integration. Regulatory pressures, often viewed as burdens, could instead drive modernization when treated as an opportunity for competitive advantage. Insurers that invest in sound data management and governance frameworks can better meet compliance requirements while positioning themselves for sustained innovation. Ultimately, the industry's ambition will be realized only if supporting systems are in place to harness the full potential of AI and blockchain technologies.
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