Viktor Mayer-Schonberger and Kenneth Cukier earlier this month published a book together called "Big Data: A Revolution That Will Transform How We Live, Work, and Think" that examines the drivers, trajectory and impact of big data analytics.
Mayer-Schonberger is a professor at the Oxford Internet Institute at Oxford University, and is on the advisory boards of Microsoft (NASDAQ: MSFT) and the World Economic Forum. Cukier is the data editor of The Economistand a prominent commentator on developments in big data.
They shared an excerpt of their book this week in Quartz, about how the algorithms used in big data are creating artificial intelligences that no human can understand, making it quite the challenge to retrace the steps that led to a determination.
Software code is decipherable. Programmers can trace their way back step by step to find an error, and then fix it. And logs generated by network elements can help network operators determine why something may have routed incorrectly. But data scientists can easily paint themselves into a corner.