The Earnix Blog

The Earnix Blog is a community blog for financial industry professionals that share a passion for predictive analytics

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01
October

DataRobot complements Earnix with Machine Learning Capabilities for Decision Support

The Challenge Many financial institutions today are looking to implement sophisticated machine learning models into their existing analytical systems – for use in analytical pricing and product personalization initiatives. They want to use machine learning libraries that theyRead More »
08
August

Earnix Recognized by Gartner in 2018 Hype Cycle for Data Science and Machine Learning Capabilities

For organizations to become truly customer centric – analytics is a prerequisite. As consumers become continually short on time and expect more choice than ever, brands are turning to analytics to enable optimal product offerings, price, and choiceRead More »
06
August

Earnix Version 8.9: The Three Most Exciting Improvements in 2018

We at Earnix have been busy improving the product for our user community, and the purpose of this blog is to share our most recent updates with you! While there are many new features and capabilities in theRead More »
16
April

Five Insights Gleaned from the Casualty Actuarial Society Ratemaking, Product, and Modeling Seminar

Earnix recently attended the Casualty Actuarial Society Ratemaking, Product, and Modeling Seminar (CAS – RPM) event in Chicago, Illinois. While the conference covered many innovative topics on trends in telematics, usage-based insurance, and regulation – Earnix was thereRead More »
08
March

Machine Learning for Financial Services: Hype or Reality?

There’s an ongoing debate as to whether new trends in machine learning are mere hype or are actually providing tangible business value and helping shape financial services pricing and offering strategies. A survey of about 200 global insuranceRead More »
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Machine Learning Survey 2017

This first-of-a-kind survey uncovers how insurance executives understand how the industry leverages Machine Learning today and how they expect Machine Learning to impact the industry in the near future.

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Open Banking: A Platform for Personalisation

Read the Earnix Open Banking report to learn how to prepare for the new open banking environment as well as see three Earnix open banking use cases.

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