Salvatore Magnone

Legacy Modernization for Insurers — A Step-by-Step Migration Approach

State of Play: $10.5 Billion Spent, Results Mixed

Custom Insurance Software vs. Off-the-Shelf Platforms — A Decision Guide for 2026

Beyond the Slide Deck: Building a Real AI Strategy

How DOOR3 Turns AI Vision Into Production Reality

Generative AI in Insurance — 7 Use Cases Already Delivering ROI in 2026

State of Play: Past the Hype Cycle, Into Production

Building a Data Foundation for AI in Insurance — What Most Carriers Get Wrong

State of Play: The Readiness Illusion

Claims Automation with AI — Reducing Settlement Time from Weeks to Hours

State of Play: The Claims Processing Crisis Is a Business Problem, Not a Technology Gap

AI-Powered Underwriting — How Insurers Are Replacing Manual Risk Assessment

State of Play: The Gap Between Ambition and Execution

AI Readiness in Insurance — A Practical Assessment Framework for Technology Leaders

State of Play: The Readiness Gap Is Wider Than Most Leaders Think

Why Insurance Digital Transformation Initiatives Fail: A Guide for CTO

State of Play: The Numbers Don't Lie

Medical Devices Part 6: The Feedback Loop (Advanced AI)

The "AI Adoption" Series: The Conclusion

Manufacturing Part 6: The Feedback Loop (Advanced AI)

The "AI Adoption" Series: The Conclusion

Medical Devices Part 5: Automation & Efficiency

The "AI Adoption" Series: Where We Are

Manufacturing Part 5: Automation & Efficiency

The "AI Adoption" Series: Where We Are

Medical Devices Part 4: Analytics & Machine Learning

The "AI Adoption" Series: Where We Are

Manufacturing Part 4: Analytics & Machine Learning

The "AI Adoption" Series: Where We Are

Medical Devices Part 3: The Data Foundation

The "AI Adoption" Series: Where We Are

Manufacturing Part 3: The Data Foundation

The "AI Adoption" Series: Where We Are

Medical Devices Part 2: Subordinate Strategies

The "AI Adoption" Series: Where We Are

Manufacturing Part 2: Subordinate Strategies

The "AI Adoption" Series: Where We Are

Medical Devices Part 1: AI Adoption and Business Strategy

The "AI Adoption" Series: An Overview

Manufacturing Part 1: AI Adoption and Business Strategy

The "AI Adoption" Series: An Overview

Legal Part 6: The Feedback Loop (Advanced AI)

The "AI Adoption" Series: The Conclusion

Insurance Part 6: The Feedback Loop (Advanced AI)

The "AI Adoption" Series: The Conclusion

Legal Part 5: Automation & Efficiency

The "AI Adoption" Series: Where We Are

Insurance Part 5: Automation & Efficiency

Legal Part 4: Analytics & Machine Learning

Insurance Part 4: Analytics & Machine Learning

Legal Part 3: The Data Foundation

Insurance Part 3: The Data Foundation

Legal Part 2: Subordinate Strategies

Insurance Part 2: Subordinate Strategies

Legal Part 1: AI Adoption and Business Strategy

Insurance Part 1: AI Adoption and Business Strategy

The Practical AI Roadmap: A New Series for Industry Leaders

Integration Strategy for Legacy Systems in Insurance

Data Strategy For Insurance Companies

Insurance runs on data. Actuarial tables, claims histories, policy information, agent performance, reinsurance arrangements, regulatory filings—every function depends on reliable access to...

The Silent Killer of AI Transformation: Overcoming Data Bottlenecks in Insurance Automation

Your AI vendor promised straight-through claims processing in 90 days. Six months later, you are still reconciling customer identifiers between systems that...

How to Build a Data Strategy: A guide for business leaders

In today's business environment, data has become a critical asset that can drive competitive advantage, operational efficiency, and strategic decision-making. However, many...

Location Models for Insurance and Reinsurance Catastrophe Planning

Catastrophe Planning and AI in Reinsurance

Natural disasters and catastrophic events pose significant financial risks to insurance companies worldwide. As climate patterns shift and extreme weather events become...

AI Readiness Assessment and Strategic Roadmapping for Insurance / Reinsurance Companies

The Evolution of AI and Machine Learning in Insurance and Reinsurance: Past to Present to Future

Data Products in Insurance and Reinsurance: A Practical Guide

The insurance and reinsurance industries are built on data. From underwriting decisions to claims processing, actuarial modeling to regulatory reporting, data flows...