Source: Decoding AI in the US
Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI, highlighted among other findings, disagreements about the impact of chatbots: Do purchase rates go down when people find out they are interacting with a chatbot? Or do chatbots actually increase customer satisfaction and loyalty? And are chatbots already successful in replacing human workers?
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The 2019 Gartner Hype Cycle for Blockchain Business shows that the business impact of blockchain will be transformational across most industries within five to 10 years.
“[Data labeling] is an expanding world, hidden beneath the technology. It is hard to take humans out of the loop”—Mary Gray
“The market for data labeling passed $500 million in 2018 and it will reach $1.2 billion by 2023, according to the research firm Cognilytica. This kind of work, the study showed, accounted for 80 percent of the time spent building A.I. technology”—The New York Times
“[Deep learning] is the end of code. It’s just about being able to get your hand on data. This is going to change everything for everyone”—Yosi Taguri
“By 2025, a quarter of all miles driven will be driven by on-demand services”—Amy Wyron, vice president of business solutions, Gett
“Despite the best intentions and loftiest goals, data has a way of escaping its silos”—Megan Molteni, Wired
“When you’re building something that’s based on machine learning or computer-vision technology, what you need is a giant corpus of data”—Jeremy King, head of engineering, Pinterest
“Despite the grand promises of Big Data, uncertainty remains so abundant that specific human lives remain boundlessly unpredictable”—Hannah Fry, Senior Lecturer, University College London
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74% of AI use cases in retail are for customer-facing projects, while only 16% are dedicated to operations.
Asked what is the biggest misconception about AI, Yoshua Bengio answered without hesitation “AI is not magic.” Winner of the 2018 Turing Award (with the other “fathers of the deep learning revolution,” Geoffrey Hinton and Yann LeCun), Bengio spoke at the EmTech MIT event about the “amazing progress in AI” while stressing the importance of understanding its current limitations and recognizing that “we are still very far from human-level AI in many ways.”
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