Centro de información > Seminarios web
Utilizing Rating & Pricing AI at Scale to Conquer Business Objectives
Join Paul Davies, Head of Data Science for D&G as he discusses the journey from adopting cloud technologies, adding AI, to delivering the right product, at the right price, at the right time.
The Blueprint for an Agile Pricing Operation
This webinar will outline the most immediate steps and resources needed to implement a pricing optimization and personalization solution. We will show you how to identify opportunities for quick wins, while keeping the long-term strategy in mind.
The Power of Pricing Optimization in a Tumultuous Auto Finance Landscape
The perfect storm has arrived in today’s auto finance market. Digitalization, inflation, increasing cost of funds, evolving consumer expectations have created a lot of chaos, while urging technological and strategic shifts across the entire auto finance industry. Adding to these tumultuous times, a wave of car loan defaults is starting to emerge. The solution lays in finding “smart pricing” strategies and the right tools to support them.
Webinar: Alternative Deal Structures: a Winning Strategy for Auto Lenders
Join us for a webinar focusing on best practices for leveraging Alternative Deal Structures (ADS) in auto finance.
Risk-Based Pricing Strategies in Auto Finance: Why Change and Why Now
Join us for a webcast presented by Earnix and AFSA, as we discuss the reasons for auto lenders to adopt risk-based pricing powered by advanced analytics and the urgency driving this transition.
Dynamic Product Actualization
The insurance industry was built on managing risk, but today’s increasing pace of change in the marketplace requires product and pricing agility. Flexibility will allow insurers to respond to increases in claims costs, prototype new usage-based products, and prepare for new products on the horizon. Achieving this in a way that meets regulatory requirements necessitates new capabilities.
Contextual Multi-Armed Bandits Meets Causal Inferencing
The Multi-Armed Bandits problem is a classic reinforcement learning problem that demonstrates the exploration–exploitation tradeoff dilemma. To correctly estimate the causal effect of price changes or different financial product bundle offers on consumers’ purchasing decisions, the standard methodology is to perform a randomized controlled trial (RCT). However, RCTs could be expensive, and financial institutions are often reluctant to conduct them for the required period of time.
ITC 2021: On stage with Earnix CEO, Udi Ziv
Today, carriers are under increasing pressure to fully personalize their products and dynamically deliver them to their customers. Fueled by consumer demand, Usage-Based Insurance is one of many trends in personalization poised to make the leap from niche to mainstream. But historically, insurers have struggled to find success creating bespoke offerings profitably and at scale.