The future of data extraction in algorithmic underwriting
We’re diving into how algorithmic underwriting - or the increasingly prevalent 'smart follow' - can be enabled despite the lack of defined digital data standards in complex risk markets.
We’re diving into how algorithmic underwriting - or the increasingly prevalent 'smart follow' - can be enabled despite the lack of defined digital data standards in complex risk markets.
We've compiled a list of publicly available resources that all insurance professionals can use to improve the service they offer to customers and streamline their working processes.
Environmental, Social & Governance (ESG) is a huge topic in the risk, insurance, and re-insurance sectors across the globe.
The final stage of the data lifecycle in insurance is decision making. Data is used in decision-making processes carried out by both human underwriters and AI software and is used to inform decision making at every stage of insurance.
We’re diving into how algorithmic underwriting - or the increasingly prevalent 'smart follow' - can be enabled despite the lack of defined digital data standards in complex risk markets.