Four imperatives to help demystify AI use cases 

A good AI use case results from a ‘matching exercise’ where value is found at the intersection of data sets and business problems and opportunities. This can be hard to achieve, but these guidelines will help you ask the right questions and avoid common pitfalls.

Big brother or a brave new world? How to avoid AI dystopia

AI carries the threat of bringing to life the chilling visions of Orwell and Huxley. We must work hard to fight against the convergence of micro-surveillance and digital inertia.

Learning how to behave: AI-conditioned robots are coming 

Large behavior models (LBMs) promise to be even more impactful than large language models, says IMD’s Tomoko Yokoi

How AI will help us pursue sustainability goals – the industrial use case

Digital technologies, and artificial intelligence in particular, allow us to extract insights from data. This will allow industrial companies, the backbone of our economy, to be more resource-efficient, more productive, and more sustainable.

From artificial to actionable: How CFOs can reframe AI adoption

José Parra Moyano of IMD outlines why a lot of AI projects fail and advises CFOs to put more emphasis on staff buy-in, data preparation, and business value.

Cybersecurity: Risks and opportunities in the scaling of industrial AI

Concerns over the ‘unpredictability’ of AI are widespread, but Industrial AI proves the value proposition of this tool, says Öykü Işık. This article explains how to build security into your strategy.

Why leaders need an ethical framework for AI

Business leaders need to ensure that their organizations consider all AI-related decisions and operations through an ethical lens, warns IMD’s Michael Wade.

Working with AI to create a sustainable future for employers and employees

As AI continues to reshape industries, businesses must navigate the balance between automation and human contribution. This article explores how AI can drive sustainability while empowering both employers and employees through data collaboration, energy optimization, and workforce adaptation. By harnessing AI responsibly, organizations can create a more sustainable and equitable future.

The laws of GenAI: Take a structured approach, collaborate, and get help

Two senior lawyers give their verdict on the American Arbitration Association’s efforts to harness the power of generative AI. They explain why incumbent organizations must seize the opportunities without delay.

AI x Sustainability: The new innovation engine

Artificial intelligence (AI) is widely recognized as a driver of productivity, while sustainability, despite its benefits to the environment, is often seen as a cost burden. When combined, however, we believe they form a powerful synergy that can unlock new opportunities for innovation, efficiency, and competitive advantage.

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