Artificial Intelligence (AI) is all too often promoted as a “silver bullet” capable of instantly solving a number of entrenched business challenges. The insurance industry, facing demands to accurately forecast and score risk in an increasingly uncharted environment, is a prime target for those marketing solutions this way — for good reason. Anything that improves projections, speeds up underwriting, and identifies outliers early while there is time for intervention could help insurers become more competitive and profitable. Of course, the marketing of AI can be confusing and ambiguous and if you are not properly informed about AI, you risk the possibility of poor implementation or can end up with a solution that is not actually using true AI. Download the guide to learn about: Regulatory and ethical challenges How to take the first step toward a successful AI implementation The guide also features a Q&A with Gradient AI about what AI can offer the insurance industry, future roles in the insurance industry, proposed regulations, and more.
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