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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22
October

Earnix Summit 2018 – Customer Centric Analytics and Innovation

It’s an exciting time of year here at Earnix, as we prepare for our seventh annual Earnix Summit. This year’s theme is all about customer centricity – and how analytics and emerging technologies are enabling innovation and transformation at some of theRead More »
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 they have often created inRead 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 choice of delivery channel. AtRead 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 the most recent release, EarnixRead 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 »
30
January

Customer Experience and Machine Learning: Future Roadmaps

In my first blog post on the topic – Customer Experience and Machine Learning: Practical Applications – I discussed how machine learning techniques are being used today by financial services organizations to achieve business benefit. Insurers and retail banks are using machineRead 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 »
19
October

Open Banking: A Platform for Personalization

The Open Banking agenda ushered in by the European Commission’s revised Payment Services Directive (PSD2) comes at a time when the customer relationship has never been more fragile. In our first blog, we discussed what the PSD2 directive is and how analyticsRead 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 »
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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.

Download the Survey

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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