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Using Data To Illuminate The Intentionally Opaque Insurance Industry

Data Engineering Podcast

Summary The insurance industry is notoriously opaque and hard to navigate. In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. What are the most challenging aspects of collecting that data?

Insurance 162
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Revolutionizing Insurance: Optimize Your Claims Process to Drive Customer Satisfaction and Retention

Precisely

Key Takeaways: Insurers provide better customer experiences with claims processes that are simple, fast, empathetic, and deliver proactive communication throughout. For most people, insurance is a safety net that remains out of mind until it becomes necessary – typically when an incident occurs and they’re filing a claim.

Insiders

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Blockchain Technology in Agriculture: Application Techniques

Knowledge Hut

Blockchain technology in agriculture improves food safety by allowing information to be traced across the food supply chain. The capacity of blockchain to store and manage data enables traceability, which is utilized to aid in creating and implementing technologies for intelligent farming and index-based crop insurance.

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Machine Learning in Insurance: Applications, Use Cases, and Projects

ProjectPro

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? Despite its long history of resistance to innovation, the insurance sector is currently experiencing a digital revolution. For both applicants and insurers, this quick move has significant implications.

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Personalized Insurance: Auto and Telematics, Health, and Other Success Stories

AltexSoft

In today’s society, insurers can no longer ignore the mounting expectations of customers. Clients now expect insurers to provide different levels of personalization that are fast, adaptable, and up to date. Is personalized insurance really the future of insurance? What is personalized insurance, and why is it important?

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

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Responsible AI: Ways to Avoid the Dark Side of AI Use

AltexSoft

To start with, we can end up like this if we aren’t careful with technology. To enable algorithm fairness, you can: research biases and their causes in data (e.g., update training and testing data based on the feedback from those who use the model and how they do it. Here’s how data is prepared for machine learning .