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Over the last few years, the insurance industry appears to have fared reasonably well; however, as of year-end 2014 Returns on Equity (ROEs) have begun to fall due to a combination of capital accumulation, competitive pricing, weak investment returns and rising loss expense (Source: 2015 EY US Property/Casualty insurance outlook). Whether the firm is a health, property and casualty or life insurance company with accident and disability product offerings, big data analytics using machine learning on Hadoop provides an opportunity to streamline and systematize procedures, optimize pricing and reduce fraud and overall risk.
Join the Editor-in-Chief from Claims Magazine’s along with experts from Hortonworks and Skytree to learn about the potential and impact of big data analytics on the insurance industry. This webinar will help you understand how the use of machine learning on big data is helping institutions understand customer sentiments, detect fraud, and several use cases that can benefit from the applicability of big data analytics.
Recent industry research by both Strategy Meets Action (SMA) and Novarica highlights analytics as the top priority for the insurance industry. Further, the Insurers’ 2016 Strategic Initiatives: Advancing Industry Transformation report by SMA identified customer engagement as another top priority for insurers. Success in the insurance industry depends on your company’s ability to quickly interact […]
Posted in partnership with Paige Schaefer, Product Marketing at Trifacta. The insurance industry is wrestling with the tremendous growth of data sources at its disposal. Traditional ETL processes are expensive, time-consuming, and complicated by the variety of data structures and formats. In contrast, Hadoop platforms provide a clean, safe, and manageable format for data wrangling, the […]
As General Manager for Insurance Solutions at Hortonworks, I hear our customers tell real-world stories about how Open Enterprise Hadoop is transforming their businesses. Hortonworks Data Platform and Hortonworks DataFlow, integrated with other technologies, give insurers analytical advantages that they can use to break away from the pack. But that success depends on their ability […]
Apache Spark’s momentum continues to grow and throughout 2015 we saw customers across all industries get real value from using it with the Hortonworks Data Platform (HDP). Examples include: Insurance Optimize their claims reimbursements process by using Spark’s machine learning capabilities to process and analyze all claims. Healthcare Build a Patient Care System using Spark […]
The banking and financial services industries are very data-centric as every interaction that a client or partner system has with a banking institution produces actionable data that has potential business value associated with it. Big Data technology (led by Hadoop) is changing the landscape in areas as diverse as Risk Management, AML Compliance, Fraud Detection, […]
This blog is jointly submitted by Alexander Gray, Ph.D., is chief technology officer, Skytree, a Hortonworks Technology Partner, and Eric Thorsen, general manager, consumer products and retail, Hortonworks. As consumers increasingly reveal their shopping habits online, retailers can access social media, purchase history, consumer demand and market trends to better understand their customers, maximize spending […]
In this Hortonworks’ partner guest blog, Abhimanyu Aditya, Senior Product Manager and co-founder at Skytree, explains how Skytree APIs solve challenges facing data engineers, simplifies data preparation and data transformation, using Apache Spark on YARN with Hortonworks Data Platform (HDP). Challenges Facing Data Engineers and Data Scientists Machine learning as a technology can be challenging. […]
On August 19th, Dr. Alexander Gray, CTO and Co-Founder, Skytree, and Cindy Maike, General Manager, Insurance at Hortonworks, will be joining Patricia Harman, Editor-in-Chief at Claims Magazine, for a Skytree webinar on “Driving profitability and lowering costs using Machine Learning on Hadoop.” Register for the Webinar on August 19th at 10am Pacific/1pm Eastern time In […]
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