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    Artificial Intelligence

    AI is moving from the lab to the workplace, with profound implications for business and society.
    Video - McKinsey Global Institute

    How to ensure artificial intelligence benefits society: A conversation with Stuart Russell and James Manyika

    – Leading artificial-intelligence researcher Stuart Russell shares in a conversation with James Manyika why a new approach for AI is necessary.
    Article - McKinsey Quarterly

    The analytics academy: Bridging the gap between human and artificial intelligence

    – As organizations rebuild their foundations to compete in the era of data and advanced analytics, in-house capability-building... programs offer the best way to train workers up to the task.
    Article - McKinsey Global Institute

    Tackling bias in artificial intelligence (and in humans)

    – AI has the potential to help humans make fairer decisions—but only if we carefully work toward fairness in AI systems as... well.
    Article

    Leading your organization to responsible AI

    – Company values can offer a compass for the appropriate application of AI, but CEOs must provide employees with further guidance.
    Interactive

    The executive’s AI playbook

    – It’s time to break out of pilot purgatory and more effectively apply artificial intelligence and advanced analytics throughout... your organization. Our interactive playbook can help.

    From the McKinsey Quarterly

    Article - McKinsey Quarterly

    Can artificial intelligence help society as much as it helps business?

    – The answer is yes—but only if leaders start embracing technological social responsibility (TSR) as a new business imperative... for the AI era.
    Article - McKinsey Quarterly

    Confronting the risks of artificial intelligence

    – With great power comes great responsibility. Organizations can mitigate the risks of applying artificial intelligence and advanced... analytics by embracing three principles.
    Article - McKinsey Quarterly

    Artificial intelligence: Why a digital base is critical

    – Early AI adopters are starting to shift industry profit pools. Companies need strong digital capabilities to compete.
    Interactive - McKinsey Quarterly

    Five Fifty: Real-world AI

    – Unsure where or how AI applies to your company? McKinsey Global Institute found over 400 real-life examples where AI can improve... longstanding business challenges.

    From the McKinsey Global Institute: Notes from the AI Frontier

    Discussion Paper - McKinsey Global Institute

    ‘Tech for Good’: Using technology to smooth disruption and improve well-being

    – Focusing on innovation, skills, and labor fluidity will be keys to good social outcomes of technology adoption.
    Discussion Paper - McKinsey Global Institute

    Tackling Europe’s gap in digital and AI

    – Europe’s average digital gap with the world’s leaders is now being compounded by an emerging gap in artificial intelligence.
    Discussion Paper - McKinsey Global Institute

    Notes from the AI frontier: Modeling the impact of AI on the world economy

    – Artificial intelligence has large potential to contribute to global economic activity. But widening gaps among countries, companies,... and workers will need to be managed to maximize the benefits.
    Discussion Paper - McKinsey Global Institute

    Notes from the AI frontier: Applications and value of deep learning

    – An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant... economic potential of advanced AI techniques.

    featured videos

    Competing in the AI economy: An interview with MIT’s Andrew McAfee

    AI has arrived, but are companies ready for it? According to an MIT scientist, executives are underestimating the speed, scope, and scale of the disruption it will bring.
    Video - McKinsey Global Institute

    Thomas L. Friedman and James Manyika: The world’s gone from flat, to fast, to deep

    – The New York Times columnist reflects on how technology is changing our world in a conversation with James Manyika.
    Video - McKinsey Global Institute

    Kai-Fu Lee’s perspectives on two global leaders in artificial intelligence: China and the United States

    – Kai-Fu Lee shares his perspectives on developing and adopting artificial intelligence in China and the United States with McKinsey... Global Institute partner Michael Chui.
    Video - McKinsey Global Institute

    How artificial intelligence and data add value to businesses

    – Artificial intelligence will transform many companies and create completely new types of businesses. The cofounder of Coursera,... AI Fund, and Landing.AI shares how businesses can benefit.

    Global Views on AI

    Report

    AI looks North: Bridging Canada’s corporate artificial intelligence gap

    – For Canadian industries to capture the enormous benefits that artificial intelligence offers, Canadian executives must make dramatic... shifts in their mindsets, strategies, and execution plans.
    Report - McKinsey Global Institute

    Artificial intelligence: Implications for China

    – The country is becoming a hub for global AI development. Five priorities can help China harness AI for productivity growth and... prepare for the societal shifts it may unleash.
    Report - McKinsey Global Institute

    What Southeast Asia needs to become a major player in artificial intelligence

    – For artificial intelligence to take hold in Southeast Asia, the region needs more defined business use cases, better data ecosystems,... and more concerted talent-development efforts.

    AI in Practice

    Article

    Artificial-intelligence hardware: New opportunities for semiconductor companies

    – Artificial intelligence is opening the best opportunities for semiconductor companies in decades. How can they capture this value?
    Article

    How artificial intelligence will impact K-12 teachers

    – Existing and emerging technologies can help save teacher time—time that could be redirected toward student learning. But... to capture the potential, stakeholders need to address four imperatives.
    Article

    Derisking machine learning and artificial intelligence

    – The added risk brought on by the complexity of machine-learning models can be mitigated by making well-targeted modifications... to existing validation frameworks.
    Video

    How China’s fintechs serve the underserved: An interview with CreditEase CEO Ning Tang

    – Fintechs that succeed in the Chinese market know how to use technology to adapt to local conditions, improve efficiency, and service... small businesses. Here’s how it’s done.
    Executive Briefing - McKinsey Global Institute

    AI, automation, and the future of work: Ten things to solve for

    – As machines increasingly complement human labor in the workplace, we will all need to adjust to reap the benefits.
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