Novarica Insurance Technology Webinar: AI and Emerging Tech

The insurance industry has embraced data analytics to drive business results. Using large warehouses of internal data, augmentation from third-party providers, and big data sources, data analysts are driving product R&D, predictive modeling, and influencing strategy at all levels of the organization.  However, many insurers are still dealing with the challenges of diverse core systems with little data integration and limited agreement on what data assets mean. This webinar covers current insurer experience, case studies of successful initiatives, and best practices in developing a data and analytics strategy.
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OTHER ON-DEMAND WEBINARS

The AI Pathway to Transformation in Commercial Insurance

squirro

The most disruptive changes in the insurance industry will be led by the advances in and utilization of key technologies. Primarily, it will include the adaptation of AI to create desirable products, harness insights from new data sources, optimize processes and costs, and improve customer experiences. According to a recent Accenture report:Digital transformation grants insurance companies exceptional capabilities. But it also creates enormous expectations.Amid these rising expectations, insurers are investing in digital technologies, raising the question of how leaders will set themselves apart.Insurers looking to differentiate themselves must be aware of technology trends that will characterize the post-digital future.
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INSURANCE CLAIM PROCESSING WITH RPA AND SMART CAPTURE

Ephesoft

Ephesoft Smart Capture® can positively impact claim processing for the insurance industry, particularly in conjunction with an automation platform like an RPA system. According to the National Association for Insurance Commissioners, last year written insurance premiums in the US came to $1.15 trillion dollars. With nearly every person in America purchasing at least one insurance policy, competition for business is incredibly intense.
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THE ART AND SCIENCE OF UNDERWRITING POWERED BY ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Underwriting is at the heart of the insurance business. From evaluating individual risks and the exposures to an entire portfolio to assessing the risk, risk appetite, and ultimately profitability is increasingly crucial with rapidly changing risk factors from weather, climate, societal, technology, and more. The underwriting discipline is making major moves not just to automate the workflow but to change the way underwriting is done by providing access to more data sources to gain new risk analysis insights while creating significantly enhanced agent/broker and customer experiences.
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Four Steps to Becoming a Data-Driven Insurer

iireporter.com

In the InsurTech era, digital transformation has largely been understood as the refinement of front-office, point-of-sale capabilities. However, as insurers are finally catching up with how other industries do electronic commerce, the coming battlefield for insurance industry definition will be about data. Insurance is fundamentally a data-driven product, and the insurer that has the better data—and knows what to do with it—will be able to identify trends, design innovative products more quickly, and price risk better than the competition.
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