Insight

Skymantics Europe Joins BDVA to Overcome Data Scarcity Barriers in European AI Adoption

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Providing fully GDPR-compliant synthetic population datasets to unlock paralyzed AI initiatives in Europe. ZARAGOZA, ES / ACCESS Newswire / June 17, 2026 / Skymantics Europe, developer of the DataGenesis™ AI software, today announced it has joined the Big Data Value Association (BDVA). This membership marks a pivotal step in Skymantics Europe’s mission to help overcome one of the major barriers […]

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Skymantics Leverages DataGenesis to Power Next-Gen European Digital Twins with High-Fidelity Synthetic Populations

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Zaragoza, Spain / ACCESS Newswire / February 16, 2026 / Skymantics Europe’s DataGenesis platform supports the evolution of European Digital Twins. By providing high-accuracy, high-resolution synthetic population datasets, DataGenesis enables the simulation of complex demographic, socioeconomic, and health attributes, allowing for precise future scenario planning and more resilient policy-making across the continent. As Europe moves into a more sophisticated phase

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From ‘What Is’ to ‘What If’: Simulating the Future of Food Supply Chain Resilience

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In this series, we’ve explored America’s “hidden hunger” and the need to understand vulnerable populations. But knowing who is vulnerable is only half the battle. The other half is understanding the food supply chain that serves them—a complex system that is brittle to disruptions like storms, floods, and power outages. Current planning tools are reactive;

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From Food Security to future populations: The challenge of planning in a World on the move

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In my last article, I explored America’s hidden hunger crisis. But ensuring food security is just one piece of a much larger puzzle. How can we effectively plan for our communities’ needs—from food and water to infrastructure and healthcare—when the very populations we serve are in constant flux? The core of the challenge lies in

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Beyond the Billions: America’s Hidden Hunger and the Need for a New Crystal Ball

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We often see images of hunger from distant lands, but the reality is much closer to home. While the U.S. is a land of abundance, a significant portion of its population struggles with food insecurity. In 2022, an astonishing 12.8 percent of American households—over 44 million people—faced a period where they had difficulty providing enough

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Smarter business risk forecasting: Financial institutions need better modeling

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In today’s unpredictable economy, assessing business risk can’t rely on financials alone. Credit ratings, loan approvals, and market entry strategies depend on a deeper understanding of where a business operates, what it does, and how broader trends affect its future. Yet most models still look backward—at outdated financials and limited claims data—ignoring systemic factors like:

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When the Foundation Cracks: What History Teaches Us About Real Estate Risk

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In 2008, the world watched as the U.S. housing market—long considered a cornerstone of financial security—collapsed seemingly overnight. Home values plummeted, foreclosures soared. Families lost not only their homes, but their savings, their stability, their dreams. Most people remember the financial aspect: subprime mortgages, risky lending practices, over leveraged banks. But underneath the headlines, deeper

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A system on the brink: Health insurers and reinsurers must act before a Collapse

Insight /

Over the years, I have met an increasingly number of acquaintances who gave up health insurance. In an act of balance of personal risks (financial vs health), more people just choose to stop going to the doctor. Now imagine that story—multiplied by millions. A shrink in the public healthcare budget won’t be loud or dramatic.

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How Insurers Can Thrive in Chaos: 5 Modern Challenges and the Data-Driven Way Forward

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The insurance and risk management industry is at a crossroads. A collision of economic uncertainty, regulatory pressure, climate-driven disasters, and changing customer demands is pushing insurers to rethink how they assess and manage risk. But amid the chaos lies an opportunity to modernize—by bridging data gaps, upgrading modeling tools, and embracing AI-driven decision-making. Here is

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