Impact of Digital Transformation in Insurance – A Measurement Paradox?
Measuring digital transformation’s impact can be affected by external factors but is possible when focusing on measurable outcomes.
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Unlocking the Future of Insurance with AI and ML
Incorporating AI/ML through off-the-shelf or custom-built models will help insurers leverage their data and drive their companies forward.
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The Role of Analytics in Modern Insurance
Analytics is becoming even more crucial for insurance, sparking a variety of perspectives on how to embed analytics into the industry.
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Evolving Long-Term Care: From Traditional Models to Tech-Enabled Solutions
The long-term care insurance value chain can be revolutionized by consumer healthcare technology innovation and data ecosystems.
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Think Big. Start Small. Incremental Modernization for Insurance.
Incremental modernization enables insurers to save costs, reduce risk and take on modernization one step at a time.
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Who is the Next Generation Insurance CIO?
Being an insurance CIO is one of the toughest leadership roles in today’s world. The challenges of the industry are changing, and so are the CIOs.
Digital Transformation and the Digital Divide in Insurance
A digital divide exists in the insurance industry, but individual insurers can mitigate it by continuing their own digital transformations.
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Effectively Optimizing Data In Insurance
Insurers committed to becoming truly data-driven enterprise have realized that nothing less than their future depends upon it.
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Digital Life Insurance for a Digital World
For any life insurer, future success means resonating with demographically diverse generations of new consumers where they live—and that’s increasingly in a digital world.
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How to Rework Insurance Data Models
Efforts to rework existing data models come down to the very same question that is asked for reworking most existing systems: retrofit what exists or start over with a clean slate?
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