Author name: Ricardo Moral

How AI Is Reshaping Travel: Direct Insights from Leaders of Accor, Expedia & Club Med

Today at VivaTech in Paris, I had the opportunity to hear first-hand how AI is set to transform the travel industry, directly from three industry leaders: Henri Giscard d’Estaing, President of Club Med; Ariane Gorin, CEO of Expedia Group; and Sébastien Bazin, Chairman and CEO of Accor. Each shared a compelling and distinct vision of […]

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Money 20/20 Europe – AI in Financial Services: From Vision to Execution

I recently attended Money 20/20 Europe, and one theme stood out clearly: artificial intelligence is no longer a future concept in financial services, it’s here now, and scaling fast. The tone throughout the event was focused, pragmatic, and forward-looking. Discussions were rooted in real use cases, not theory. Whether in breakout sessions, keynotes, or hallway

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Building Effective and Responsible AI Agents: The Importance of Recognising Causal Reasoning Limits in Generative AI

In this article, we examine why understanding causal reasoning—and recognising the limitations of large language models (LLMs) in this area—is crucial for implementing AI Agents effectively. As organisations increasingly turn to AI Agents to perform complex tasks, awareness of these limitations becomes essential to assess their true capabilities and to ensure responsible, reliable deployments that

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Understanding LLMs’ Reasoning Limits Today: Insights to Shape Your Strategy

One critical question underpins the excitement around LLM’s potential: just how intelligent are Large Language Models (LLMs) when it comes to reasoning? Asking this question is crucial, as understanding the true capabilities of LLM’s enables us to apply it more effectively and to make strategic decisions on where to invest in skills that foster long-term

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My Key Takeaways From TED AI San Francisco 2024

While visiting clients in San Francisco, I had the opportunity to attend TED AI, which presented a range of thought-provoking insights. The event showcased a fascinating array of talks, many of which highlighted contrasting perspectives across key areas. Below, I’ve summarised these contrasts, including the primary arguments presented, and my initial reflections. AI as a

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