AI projects stumble not because of flawed algorithms but because the underlying data pipelines are weak or chaotic.

Riverhead Books, New York, 2013, 288 pp ... and they don’t do themselves any favors by giving “fun” examples. It doesn’t take big data to convince us that the word chupacabra (a blood-drinking ...