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 »
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 »
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 »
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 »
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 »
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 »
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 »
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 »
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 »
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 »