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Ilustración que compara algoritmos y sistemas caóticos: científicos de datos prueban modelos predictivos frente a perturbaciones repentinas, visualizando indicadores de alerta temprana, incertidumbre del modelo y estrategias adaptativas para fortalecer el pronóstico y la resiliencia organizacional.

Algoritmos frente al caos: ¿se pueden predecir las perturbaciones inesperadas?

Los algoritmos y la economía impredecible El debate sobre si los algoritmos pueden anticipar perturbaciones disruptivas, crisis financieras,avances tecnológicos o rupturas geopolíticas ha resurgido. En los últimos años, economistas y científicos de datos han comenzado a analizar el caos no como algototalmente predecible, sino como algo medible mediante análisis no lineales. Como observó el Banco Central Europeo en su Boletín Económico (2021): «El aprendizaje automático puede

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Ilustración que vincula clima, salud y esperanza de vida humana: poblaciones envejecidas, innovaciones sanitarias, impactos medioambientales y políticas sostenibles trabajando conjuntamente para extender la esperanza de vida saludable.

Longevidad y Sostenibilidad: Clima, Salud y Esperanza de Vida Humana

El Clima como Determinante de la Longevidad En el Foro Mundial sobre Longevidad 2025, los investigadores destacaron que el cambio climático está emergiendocomo un determinante fundamental de la esperanza de vida humana.Según el Dr. José Serres, «por cada aumento de 1 °C en la temperatura global, la esperanza de vidamedia disminuye 0,44 años, aproximadamente cinco meses por persona». Este hallazgo replantea el cambio climático no meramente como un desafío medioambiental,

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Illustration of a human and an AI acting as Co-Author: collaborators drafting a manuscript, reviewing edits and discussing attribution, transparency and ethical guidelines for shared authorship and accountability.

AI as Co-Author: Balancing Productivity with Accountability

The Consulting Lens on AI Co-Authorship As AI systems become more advanced, their presence in professional writing andknowledge generation is undeniable. From strategy reports to market analyses, AI is nolonger just an editing tool, it drafts, synthesizes, and even proposes frameworks. This raises a crucial question for the consulting world:When AI contributes meaningfully to a deliverable, how should firms recognize, regulate,and disclose its role? At TAMVER Consulting, we believe AI can be a partner in

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Illustration showing the Longevity Economy: healthcare innovators, ageing consumers, market graphs and product development labs highlighting how health-related industries drive economic growth and create new opportunities.

The Longevity Economy: Health as a Growth Driver

Health as an Economic Engine The 2025 TransVision Conference in Madrid made one message clear: longevity is no longerjust a biomedical pursuit, it is an economic imperative.As Lars Hartenstein, Director of the McKinsey Health Institute, emphasized, “If we extend notonly life expectancy but healthy life expectancy, Spain could see up to a 12% increase in GDPby 2040.” Madrid, currently the European city with the highest healthy life expectancy, maybecome a benchmark for urban longevity. This

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Illustration of analysts forecasting without relying on historical trends: scenario maps, forward-looking models and teams testing adaptive strategies to predict change when past patterns no longer apply.

A Future Without Trends: How to Forecast When History Stops Being Useful

When Historical Patterns Break Down Forecasting once relied on the idea that the future would echo the past. Econometric andAI models alike have been built upon decades of historical data, but assuming stability,continuity, and recurring cycles. Yet, the last few years have shown how quickly these assumptions can collapse. Pandemicshocks, climate disruptions, geopolitical realignments, and rapid technologicaltransformation have made historical patterns unreliable. We are entering what can be called a post-trend era, one where history

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Zero-Shot Models in Economics: A NewFrontier?

The Rise of Zero-Shot Modeling Artificial intelligence is reshaping economics. A key innovation is the zero-shot model, AI, thatcan solve tasks it was never trained on. For economists, this means faster forecasts, new waysto use data, and insights without custom-built models Why Zero-Shot Matters Speed and Scale: Economists usually build new models for each case. Zero-shot systemsadapt instantly, saving time and effort.Bridging Data Gaps: In regions with scarce data, zero-shot approaches provide useful insights.Merging Text

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