The Earnix Blog

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

pricingmachine learningfinancial
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 there to present  specifically onRead 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 insurance professionals conducted by EarnixRead More »
27
February

Powerful Agents: Insurers, optimize your renewal pricing through agent cooperation

An independent insurance agent can be a carrier’s best friend. But sometimes that same agent can also be a thorn in its side. In some markets, agents can discount the rate from the technical price developed by the insurer. This blog addressesRead More »
27
February

Are You Ready for the Evolution-Revolution Mindset?

This is the year in which a new mindset will take hold—and large financial services companies better be ready to embrace this new way of thinking. We’ve seen the arrival of countless startups in the industry that have the capability to transformRead More »
09
January

Earnix Summit – The Evolution Revolution

As new technologies enter the market, how can we, as leaders in financial services organizations, compete and do things smarter, faster and cheaper? During the 6th annual Earnix Analytics & Innovation Summit held in London, we saw firsthand how some of theRead More »
04
January

Customer Experience and Machine Learning: Practical Applications

The notion of using analytics to improve customer experience has changed the landscape and thought process of businesses over the past several years. As machine learning becomes further democratized, or more pervasively available, it is making its way into many enterprise softwareRead More »
20
September

Personalized Customer Analytics: The Key to the Future

As the Chief Analytics Officer for Earnix, a Tel Aviv-based provider of advanced analytics solutions for the financial services industry, I am focused on how financial services companies can use data and analytics to figure out what their customers really want andRead More »
31
August

Off-line vs Real-Time Analytics: Where is the Industry Heading?

Financial institutions are demanding real-time analytics at their point of customer interactions. For years, we have been advising our clients to connect their front-end customer facing systems with real-time pricing analytical capabilities, or at least lay the foundations to enable this capabilityRead More »
30
July

Challenging The Status Quo: How Banks Can Win In The PSD2 World

In less than six months, the second Payment Services Directive (PSD2) will have been implemented into law in all European Union member states. The Directive is a landmark moment in banking, introducing competition to the payments market and overturning the status quo.Read More »
29
June

Are You Making these 7 Mistakes When Deploying Your Models?

I am always excited to see more organizations wanting to use analytical models at the center of their business processes. Like most things in life, the road to success is not straight; sometimes there are a few road bumps to navigate. TheRead 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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