Damiano Pietroni

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Moving from a legacy to a digital architecture requires: fixing the core, organizing the data and extending the architecture.

Here are key insights on how to best use chatbots in the quote-and-buy process for customers.

Choosing the right policy handling application may unlock significant value; the wrong one may impose a strategic constraint for years.

Policy data migration can deliver mature books of business to new policy handling systems and decommissioning of legacy systems.

Tesla's problems developing an insurance business suggest the auto behemoths may not be as threatening as once thought.

insurers will provide more accurate underwriting, efficient claims processing and a personalized customer experience.

Here is a sort of use-case wish list for AI in insurance, focused on the most repetitive and demanding claim functions.

Imagine if your agency was the top result on Google to questions about how much coverage costs or what policy a business needs.

A better understanding of what “embedding” means can lead to smarter solutions for agencies, carriers and companies,

ADR offers a new route for injured workers to receive care from reputable doctors and caregivers in an efficient, cost-effective way.

The power of machine learning is amplified by the growing market of third-party data available to train and refresh models.