Category Archives: Artificial Intelligence

Deep Learning, Not AI, Most Effective Term in Job Listings

Textio: These phrases appear to be following the pattern of big data before them. As AI language has become more common in job ads, the less interesting it has become to potential job applicants. No surprise: when everyone is using the same language, … Continue reading

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Mobile Becomes AI

…Microsoft Form 10K 2017: Vision: “Our strategy is to build best-in-class platforms and productivity services for an intelligent cloud and an intelligent edge infused with artificial intelligence (“AI”).” ……# Mentions AI or artificial intelligence: 7 …Microsoft Form 10K 2016: Vision: “Our strategy … Continue reading

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AI will Eclipse Hadoop, Says Forrester

When you start a revolution, you need to go public before the next revolution starts. Hadoop used to be the “revolutionary” technology behind the “big data” revolution but it has now been buried deep by deep learning, at least as … Continue reading

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Which Jobs will be Lost to Automation?

Source: Visual Capitalist

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AI and Automation: Predictions, Perceptions, and Proposals

Treasury Secretary Steve Mnuchin declared last week that the threat of artificial intelligence taking over American jobs “is not even on my radar screen.” Mnuchin is “not worried at all,” at least not for the next 50 to 100 years. This was … Continue reading

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China to Grow its AI Market from $2 Billion Today to $150 Billion in 2030

China has laid out a development plan to become the world leader in artificial intelligence (AI) by 2030, aiming to surpass its rivals technologically and build a domestic industry worth almost US$150 billion (S$204 billion). Released by the State Council, … Continue reading

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AI to Add $16 Trillion to Global Economy in 2030

  HT: @miguelselas

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AI Technologies Today and Tomorrow

Source: Callaghan Innovation (Infographic)

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AI in Cybersecurity Startups Landscape

Source: CB Insights

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Could AI Do Your Job?

MGI: Overall, we estimate that about half of the activities that people are paid almost $15 trillion to do in the global economy have the potential to be automated by adapting currently demonstrated technology… All occupations will be affected. Only … Continue reading

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