At #1: Notes from the AI frontier: Applications and value of deep learning
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Top Ten | McKinsey Global Institute 2018
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Notes from the AI frontier: Applications and value of deep learning
1. 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. More →
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Skill shift: Automation and the future of the workforce
2. Skill shift: Automation and the future of the workforce
Demand for technological, social and emotional, and higher cognitive skills will rise by 2030. How will workers and organizations adapt? More →
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Smart cities: Digital solutions for a more livable future
3. Smart cities: Digital solutions for a more livable future
As cities get smarter, they are becoming more livable and more responsive—and today we are seeing only a preview of what technology could eventually do in the urban environment. More →
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4. A decade after the global financial crisis: What has (and hasn’t) changed?
The world economy has recently returned to robust growth. But some familiar risks are creeping back, and new ones have emerged. More →
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5. 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. More →
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6. Outperformers: High-growth emerging economies and the companies that propel them
Some emerging economies have grown much faster and more consistently than others. Underlying these success stories is a pro-growth policy agenda and the standout role of large companies. More →
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7. Solving the productivity puzzle
New research uncovers how three waves collided to create historically low productivity growth but finds the potential for it to recover to 2 percent or more. More →
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8. 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. More →
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9. Retraining and reskilling workers in the age of automation
Executives increasingly see investing in retraining and “upskilling” existing workers as an urgent business priority that companies, not governments, must lead on. More →
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10. The promise and challenge of the age of artificial intelligence
AI promises considerable economic benefits, even as it disrupts the world of work. These three priorities will help achieve good outcomes. More →
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