The healthcare insurance sector in the US is struggling to make critical decisions due to a severe lack of accessibility, context and trust in their data. That is according to a new international study by ActiveOps, a leading provider of AI-powered decision intelligence for service operations.
In AI We Don’t Trust: Too Many Healthcare Insurers Base Decisions on Assumption Over Data, Report Reveals
Survey Shows that More than 90% of Insurers Plan to Increase AI Investment – Top 4 Trends for Insurers in 2024
To glean insights, Gradient AI conducted a survey among 100+ customers across diverse insurance companies, revealing four noteworthy AI trends influencing the future landscape of the insurance sector.
Is AI the Future of the Insurance Industry?
In this contributed article, Paul Ford, CEO of TRAFFK, discusses how the insurance companies that are able to successfully merge cloud-based data driven AI technology with the traditional methods of engagement through their agents are the ones who will rise to the top.
Why CRM and Data Warehouses Fail with Customer 360
This whitepaper, “Why CRM and Data Warehouses Fail with Customer 360,” from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements of this type of data fall into a discipline called Master Data Management (MDM).
Why CRM and Data Warehouses Fail with Customer 360
This whitepaper from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements of this type of data fall into a discipline called Master Data Management (MDM).