Part 3 looks at key questions being asked – and answered – as this data-rich sector navigates what one author refers to as AI’s new “eternal springtime”. Read on for:
How “algocratic insurance” is being built, consciously and unconsciously, as we speak, and why and how regulators – and firms – need actively to put in place the means to ensure its “moral compass”.
An assessment of health insurance use cases, including a 4-step process for firms to find the right starting point, and from there develop a route map to deliver optimum benefits.
A deeper look at health insurance and the socio-economic drivers for all stakeholders, public and private, that constitute a pressing need to make best use of AI, not least to tackle escalating costs and inefficiencies that create big issues for the insurer, and suboptimal customer experience
The case for the opportunities for commercial insurance underwriters to empower their expert humans, and concretely to deliver better experiences to their customers, from SME to corporate.
An analysis (including use cases and results to date) of how commercial insurance firms are already transforming underwriting using AI technologies.
An explanation of AI-powered policy life cycle management that can take fraud detection and management back to policy inception – and through claims, to renewal.
A detailed dissection of opportunity ...
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