The Earnix Blog

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

TechnicalAnalyticsBusiness
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 »
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 »
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 »
15
June

How Insurers Can Better Understand Multi-Product Customer Behavior – Machine Learning Can Help

It’s all about the data. That’s the message I kept hearing at the CAS Ratemaking and Project Management conference in San Diego this spring. The message was so strong, that I was asked to present my seminar, “Multi-Product Optimization: Challenges and Opportunities”Read More »
01
June

Is Machine Learning a Threat to the Actuarial Profession?

Man vs. Machine: 10 years ago, I would never have guessed that I would be writing about this topic with such serious concern. Yet, some people are predicting that machine learning technology will produce a jobless future for certain professions, including actuaries.Read More »
30
May

Conversion & Retention Modeling Done Right: The Four Keys to Success

These days, many industries are spending millions of dollars in research to achieve their customer-centric goals. The insurance industry is no different. Insurers are continually raising the analytical bar to gain a better understanding of their customers. Being able to accurately predictRead More »
29
March

How to Transform Your Models into a Fully-integrated Analytics System

More than ever before, financial service organizations are using analytical models to power their core business processes. Ever-higher customer expectations together with new market players are some of the drivers that are responsible for accelerating the pace of change in the market.Read More »
21
February

Analytics Hackathon – A New Way for Insurance Analysts to Sharpen Skills

The insurance market has never been faced with so many new technologies, bringing with it increased opportunities to leverage analytics in the industry. Yet, for many insurance professionals, keeping pace in this very dynamic market is challenging, which is why Earnix isRead More »
10
November

Earnix Summit 2016: Customer Centricity in a Rapidly Changing Industry

As financial leaders, we are privileged and challenged to live in the most exciting times in the history of the financial services industry. With disruptive technologies entering the market place, the industry is changing at a phenomenal rate and this was highlightedRead 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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