WhatsTheBigData

Source: Technavio

The recent surveys, studies, forecasts and other quantitative assessments of the health and progress of AI estimated the impact on productivity of human-machine collaboration, the number of jobs that could be automated in major U.S. cities, and the size of the future AI in retail and healthcare markets; and found AI optimism among the general population, algorithms outperforming (again) pathologists, and that our very limited understanding of how our brains learn may improve machine learning.

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26% of consumers think they interact with AI at least once a day; when they think of AI, 53% think primarily of robots and 40% think primarily of self-driving cars; 58% get their information on AI from movies and TV or social media

Blumberg Capital surveys of 1,000 U.S. consumers aged 18+

The surveys, studies, forecasts and other quantitative assessments of the health and progress of AI for this week find increased VC excitement over AI startups, low trust in AI advice by U.S. consumers and global business executives, China and Germany ahead of the US in the use of AI in healthcare while the US spends more, and the inaccuracy of facial recognition.

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The surveys, studies, forecasts and other quantitative assessments of the health and progress of AI for this week reveal the state of enterprise AI adoption, workers’ attitudes towards AI, data insecurity and privacy challenges, the fortunes of AI startups, and the superior performance of AI over humans in some situations.

25% of organizations worldwide that are already using AI solutions report up to 50% failure rate; lack of skilled staff and unrealistic expectations were identified as the top reasons for failure [IDC global survey of 2,473 organizations, May 2019]

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