The State of Pet Insurance
The pet insurance industry is experiencing significant growth, driven by increased pet ownership and rising veterinary costs. This whitepaper explores the industry's expansion in North America, highlighting the challenges of operational inefficiencies and the opportunities presented by advanced analytics and artificial intelligence.
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Powering Financial Inclusion with AI-driven Price Optimisation and Risk Decisioning
In this new white paper, we share insights from our research into loan pricing in UK retail banking and examine how AI is transforming price optimisation and risk decisioning.
Earnix Model Accelerator
Read NowUnderwrite-It for Lending: AI-Enabled Credit Risk Decisioning Automation
Discover the most common use cases for deploying Earnix Underwrite-It for Lending, including credit automation, analytics enchainment for credit risk decisioning, and cost reduction and productivity improvements.
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Transform Underwriting to Improve Agility and Profitability
As insurers navigate a rapidly changing macro environment and evolving customer expectations, the need to reimagine insurance has become more urgent than ever. One area that requires particular attention is underwriting, which is often less visible to customers than other functions in the insurance value chain. However, upgrading underwriting can have a significant impact on capturing new business and driving profitability.
Earnix Lending Plus: Integrated AI-Driven Pricing Analytics and Credit Risk Decisioning Platform
Earnix Lending Plus combines advanced pricing analytics, price optimization, and simulation capabilities with automated credit risk decisioning in a single solution. With Earnix Lending Plus, lenders avoid lengthy and costly software implementation cycles while getting a tight grip on the entire pricing and credit decisioning process.
Pricing Strategies in Consumer and Auto Lending
This eBook presents a summary of our findings and recommendations for using AI to optimize pricing models, target lower-risk borrowers, automate credit risk decisioning, and maintain profitability amidst challenging market conditions.
Digital Transformation in London's Specialty Insurance Market
Over the centuries, the London market has developed and grown, and today it is the largest global hub for commercial and specialty risk, delivering solutions in almost every territory around the world.
Yet the global risk landscape is quickly changing, requiring new solutions to digitalise the market, making it better, faster, and cheaper for all participants while delivering better customer outcomes.
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Streamlining Your Pricing Processes for Improved Profitability
As the insurance industry faces intense market competition and evolving demands, the imperative to enhance pricing strategies is more critical than ever. One pivotal area that can significantly influence profitability and market responsiveness is the pricing process.
Personal Lending: The Fundamentals of Digital Loan Personalisation
After a rapid growth in interest rates for personal loans in 2023 despite a lagging increase in deposit rates, UK banks will face mounting margin pressures in 2024. On top of tighter margins, lenders will have to navigate a complex matrix of intensifying regulatory initiatives such as the Consumer Duty Act.
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Four Critical Pricing Use Cases for Auto Lenders
Auto lenders around the world continue to face real pressure to remain profitable. This means developing and deploying more intelligent pricing strategies that can successfully reduce risk, increase profitability, and help auto lenders gain and maintain market share.
The Pursuit of Agile Pricing Operations
Read NowTransform Your Business’ Underwriting Function with Underwrite-It
Transform underwriting to improve agility and profitability with rules management, advanced analytics, simulation, and business-driven deployment in a single solution.
Improving the Effectiveness of Model Development and Deployment
In concert with Earnix Price-It, Model Accelerator provides a comprehensive, end-to-end model management workflow, including model building, orchestration, deployment, and monitoring.