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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Enable reporting to internal teams about the statuses of AI projects.

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Navigating Banking and Insurance With Longview Tax

Jet Global

The ability to adjust quickly to the shifting tides of taxation, amid the unique challenges posed to financial services companies, will help you build confidence in your tax reporting and better handle the unique challenges that lay ahead. These strategic activities include tax policy, planning, and controversy.

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Back to the Financial Regulatory Future

Cloudera

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. Well, sort of.

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Compliance by Design: A How-To Primer

Data Virtualization

Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. This bureaucracy is rife with data management bottlenecks. Metadata-Driven Automation in the Insurance Industry.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

It can be used to reveal structures in datainsurance firms might use cluster analysis to investigate why certain locations are associated with particular insurance claims, for instance. Data analytics and data science are closely related. Generally, the output of data analytics are reports and visualizations.