MEET OUR SPEAKERS.

Hear from a distinguished lineup of business leaders about issues surrounding Pricing and Product Personalization of risk-based financial products. Learn about the impact of advanced analytics and disruptive technologies such as Artificial Intelligence on Pricing and Product Personalization.

Neal Silbert

GM, Insurance, DataRobot

An Earnix & DataRobot

Case Study

Automated AI has proven itself in various areas of Insurance: from underwriting fraud detection to risk modeling. In this session we will demo how DataRobot and Earnix work together to deliver faster, better, analytical based pricing decisions.

Reuven Shnaps

CAO, Earnix

The Analytics Behind Personalization

Product Personalization is becoming fundamental to the viability and growth of Banks and Insurance companies in the digital era. Reuven will discuss the challenges of augmenting the data collection process and subsequently building the right behavioral models to tailor personalized product offerings. In this session Reuven will highlight some of key Analytical concepts and models behind product personalization and share the analytical steps that Banks and Insurance companies should take to embark on the Personalization journey.

Anton Ruddenklau

Head of Digital & Innovation, Financial Services, KPMG 

Driving Innovation – The Lifeblood of Progress

 

How do large insurers and banks manage innovation in today’s on-demand and digital-first business environment? How do they find the right balance between missing the boat and missing overly-ambitious innovation targets? Mr. Ruddenklau will discuss a wide variety of innovation opportunities and explain how to successfully lead your organization through the changes necessary to maintain market competitiveness.

Yaron Lavie

VP Product, Earnix

The Earnix 3D Personalization Suite 

A showcase of the Earnix 3D Personalization Product Suite and an overview of our product roadmap, including advances in machine learning, real-time pricing, personalization, and more.

Michael Gassmann

Head of Pricing & Analytics, Suncorp 

Back to the Future with better pricing methodologies

The Suncorp insurance pricing process has historically experienced the heavy burden of managing thousands of predictive models. Michael will describe the Suncorp journey to simplify the insurance pricing process with clever use of Machine Learning and other methodologies, reducing the number of models while improving their manageability and prediction-quality.

Adar Ben Aderet

Data Science Team Lead,

Earnix

Machine Learning:

Practical Model Selection 

The key in model selection is understanding prediction-errors and the tradeoffs in minimizing bias and variance. This session will focus on understanding the decomposition of the error term, in order to improve model accuracy and robustness.

Jordan Levine

Partner, Dynamic Ideas

The Analytics Translator in Every Company

As advanced analytics becomes pervasive in driving businesses, the need for an analytics translator to connect the needs of business leaders and the capabilities of data scientists continues to grow larger.  In this Interactive session Jordan will present the methodology he developed and published in the Harvard Business Review for bridging this divide.

Paul Davies

Head of Data Science,

Domestic & General 

Pricing 3.0 – One Year On

 

Following a year of implementing real-time pricing with Earnix and DataRobot, Paul will describe his experiences over the past year, the benefits he is now realizing, and his plans to expand from pricing personalization also to product and timing personalization.

Giovanni Oppenheim

Director of Banking Professional Services, Earnix

The Path from Risk-Based to Behavior-Based Pricing

 

Financial Product Pricing is evolving to be based on holistic understanding of customer behaviors and needs, coupled with the ability to serve those needs instantly. This allows banks to improve customer-satisfaction while optimizing portfolio-performance. This session focuses on paths to overcome organizational barriers that hinder the transition to Behavior-Based Pricing.

Pablo Ausobsky

Chief Actuary, nexible

nexible and the Earnix Rating Engine: 

Pricing Automation for a pure digital player

nexible, a Spin-off insurer of ERGO Group, started as an experiment with potential. Pablo will describe how nexible addresses the challenges of governance, automation and scalability, and how Earnix contributes to their vision.

Dror Pockard

Head of North America Insurance, Earnix

Dynamic Rating

Pricing and modeling are just the first steps in getting the right offer delivered to your customers hands. Dror will cover the various aspects of dynamic rating, including simulating and deploying rates in real-time to improve time-to-market, automating processes to improve agility, enabling enterprise-wide governance, and more.

H.P. Bunaes

GM, Financial Services, DataRobot

AI for Unsecured

Auto-Lending -

An Earnix & DataRobot Case Study

Automated AI has proven itself in various areas of Banking: from fraud detection to behavioral modeling. In this session we will demo how DataRobot and Earnix work together to deliver faster, better, analytical based pricing decisions.

Vicky Katsimardou

Head of Deposits, Eurobank

Case Study: How Earnix Improved Our Deposits Pricing

Over the past year Eurobank has deployed Earnix Price-it to improve their end-to-end deposits pricing process.

Vicky will present Eurobank’s journey to customize approved rates for each individual customer, helping the company improve both business margins and customer satisfaction.

Oren Kohavi

Director of Insurance Professional Services, Earnix 

Dynamic Pricing in Insurance

 

This case-study of the Earnix real-time pricing and rating engine will provide a semi-technical perspective on multi-structure dynamic pricing, rating, and product personalization. The case will provide examples on multi-product discount-optimization, offer-bundling, and more.

Rajesh Iyer

Vice President | NA Financial Services - Insights & Data, Capgemini USA

Insight to Impact - The True “Last Mile” for AI & Analytics

Most Financial Institutions have engaged in analytics initiatives for many years, but many have failed to realize the full anticipated value out of them. Platforms like Earnix fulfill the need for a General/Product Manager’s workbench that unify bespoke analytical solutions into a cohesive business-relevant view that facilitates sensible Profit v. Growth v. Experience choices without leaving their firms’ Efficiency Frontiers. In a sense, such platforms are essential to make AI and Analytics “speak business.” 

Charlie Ngo

Sr. Director of Strategy, Pricing and Analytics, Frontdoor

Frontdoor's Pricing Strategy Evolution

Frontdoor, the largest provider of home service plans in the U.S., is obsessed with taking the hassle out of owning a home. American Home Shield (AHS), Frontdoor’s largest go-to-market brand, has evolved its pricing practices over the past five years to drive profitable revenue growth. Mr. Ngo will review this AHS pricing journey and the potential he sees in new capabilities such as dynamic pricing, real-time simulations, personalized product-customizations, etc. as drivers of sustained business growth, profitability and customer satisfaction.

Liat Mendelson

Product Manager, Earnix

Banking 3D Personalization Demo

How can banks identify in real time what each customer needs and engage with the customer immediately? How can they provide each customer with the best personalized offer in an automated way?
In this session, we will show how using the Earnix 3D personalization Suite, banks can detect the right moment in time to offer the best personalized offer.

Lucy Kadets

Product Manager, Earnix 

Innovating with Earnix Automation

 

The Earnix Automation goes beyond process-automation, enabling advanced analytical innovation. Lucy will demo two ways to enrich your analytical capabilities with the help of Earnix Python SDK.

Steve Rubenstein

Head of Pricing, Personal Products

RBS

The RBS Pricing Journey

The story of the RBS Pricing Centre of Excellence - growing pricing sophistication and its impact on systemizing pricing across the enterprise and improving enterprise governance and control. Mr. Rubenstein will also touch on the trend of fair pricing.

Bernard Marr

Author & Futurist 

The Future of Analytics and Personalization

Mr. Marr, a futurist and prolific writer, will present best practices and the art of the possible from around the globe and across a variety of industries in the use of AI and machine learning. He will focus on how these revolutionary technologies are improving business practices and enable companies to develop intelligent services. He will cover lessons that can be learned from leading companies like Tencent and Alibaba, who are trailblazers in applying these new technologies to their business and realizing outstanding results.

Ruwan Wijetunga

Head of Product & Pricing,

Toyota Finance

The Toyota Finance

Pricing Journey

 

We will take a look at the Australian marketplace in regard to pricing maturity for auto finance and follow the Toyota Finance pricing journey.  In response to significant regulatory change Toyota Finance has moved from its dealerships setting price to sophisticated risk-based pricing and more recently commencing the journey with Earnix towards optimal pricing.

Nelson Henwood

Director, Finity Consulting

The Toyota Finance

Pricing Journey

We will take a look at the Australian marketplace in regard to pricing maturity for auto finance and follow the Toyota Finance pricing journey.  In response to significant regulatory change Toyota Finance has moved from its dealerships setting price to sophisticated risk-based pricing and more recently commencing the journey with Earnix towards optimal pricing.

Maurice Lisi

Head of Multichannel Experience

Intesa Sanpaolo

Deploying Earnix Personalization Suite

An early adopter’s perspective of the Earnix 3D Personalization Suite, based on the Earnix implementation at Intesa Sanpaolo, one of Europe's largest financial institutions.

Robert Willis

Director of Global Dynamic

Rating Project

Liberty Mutual 

Rating Engine as a Growth Driver in Global Companies - a Liberty Mutual Case Study

Mr. Willis will discuss the challenges that led to the realization of the need for a Global Dynamic Rating Engine and why Earnix was chosen as the preferred solution. He will present the values of the solution as well as the roadmap for implementation globally. He will conclude by detailing the considerations involved in rolling out such a Rating Engine across entities around the world.

Graeme Spinks

Head of Financial Modelling & Analytics, RBS

Advanced Pricing Analytics

This session will cover Graeme’s role at RBS, the importance of modelling and what he sees as the future evolution of modelling and analytics in pricing in the UK

Jiri Strelicky

CEO

CSOB Pojistovna

Analytic Synergies in Bancassurance

A case on leveraging synergies between Banking and Insurance, in a group that runs both businesses. Jiri will describe CSOB’s experience in infusing Behavior-Analytics into Pricing and Product Personalization, providing examples such as using internal banking data to individualize CSOB insurance offers.

Drew Lawyer

Head of North America Professional Services, Earnix

Multi-Product Pricing:

a customer-centric review

The customer decision making process is a highly complex one which takes information across multiple products into account. In this session we will explore the complexities of multi-product pricing and the potential benefits that can be realized through more holistic customer level portfolio pricing.

Nir Maor

VP Marketing, Earnix

Personalization Trends

Over the past year Earnix has commissioned extensive market research in the insurance and banking industries to understand the role of personalization. In this presentation you will learn how current practices are delivering business results, and the industry's  expectations over the next 3-5 years.