Knowledge Centre
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Why AI Demands a New Breed of Leaders
Faisal Hoque, Thomas H Davenport and Erik Nelson, MIT Sloan ReviewArtificial intelligence is changing how humans and machines work together. But most organisations still focus on the technical aspects of AI implementation because their leadership structure does too. Companies need a new role, the chief innovation and transformation officer, to manage the profound cultural and...
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How People Are Really Using Gen AI in 2025
Marc Zao-Sanders, Harvard Business ReviewMuch has happened over the past 12 months regarding gen AI. New kids on the block, such as DeepSeek and Grok, Custom GPTs for narrower sets of requirements, new OpenAI models, and even a Google podcast generator, NotebookLM. All while costs have substantially reduced and accessed broadened.
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10 AI terms everyone should know
Susanna Ray, MicrosoftThe term AI has been used in computer science since the 1950s, but most people outside the industry didn’t start talking about it until the end of 2022.Recent advances in machine learning led to big breakthroughs that are beginning to have a profound impact on nearly every aspect of our lives.
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Gender Parity in the Intelligent Age
World Economic ForumThe advent of new technologies is often accompanied by flurries of optimism, scepticism and, in some cases, resistance. The rapid emergence of Generative Artificial Intelligence is no different.
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The Rise of AI Resentment At Work: Why Employees Are Pushing Back
Diane Hamilton, ForbesAI has been billed as the ultimate productivity booster, promising to eliminate tedious task, enhance decision-making, and create new opportunities for workers. Yet in many workplaces, AI is being met with resistance.
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2025 AI & Data Leadership Executive Benchmark Survey: Leadership, Transformation, and Innovation in an AI Future
Randy BeanWhat’s the state of data and AI in companies? Is generative AI still driving enterprise technology planning and investment?
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Building a Data-Driven Culture: Four Key Elements
Ganes Kesari, MIT Sloan ReviewA data-driven culture is vital to success with AI projects, but shaping one involves many challenges. Learn how build one from organisations that made the journey engaging for employees.
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Philosophy Eats AI
Michael Schrage and David Kiron, MIT Sloan ReviewGenerating sustainable business value with AI demands critical thinking about the disparate philosophies determining AI development, training, deployment, and use.
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The Irreplaceable Value of Human Decision-Making in the Age of AI
Martin Reeves, Mihnea Moldoveanu and Adam Job, Harvard Business ReviewThe rise of AI presents an opportunity for humans to step up to the challenge of refining, emphasising, and applying our human strengths to differentiate corporate decision-making. However, human capabilities are often untrained, impulsive, or implicit. Thus, to distinguish and elevate their decision-making...
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Turbocharging Organisational Learning With GenAI
Paul Baier and John J. Sviokla, MIT Sloan Review, 13 January 2025Generative AI can radically improve an organisation’s ability to learn. With the introduction of ChatGPT in 2022 the machines talked back. Instead of having to “speak” Java or Python, people could use everyday dialogue — which is why the tool garnered more than 100 million users in its first two months of public availability.
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