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July/August 2017, [Volume 26, Issue 7]

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Features

Innovation is a hot topic these days, with disruptive business models and new products challenging established leaders. It covers a wide range of diverse concepts and processes.... Posted July 03, 2017

In financial services, the dangers associated with monetizing big data are nearly as great as the rewards. The promises of machine learning, data science and Hadoop are tempered by the realities of regulatory penalties, operational efficiency and profit margins that must quickly justify any such expenditure. Posted July 03, 2017

Sentiment analysis is one of the most prevalent uses of text analytics, but the technology has many other valuable uses. Text analytics finds a range of applications in scientific, medical and technology development. Posted July 03, 2017

News Analysis

Human thinking balances AI systems. They can plug each other's blind spots. Humans make judgments based on their worldview. They are capable of understanding priorities, ethics, values, justice and beauty. Machines can't. But machines can crunch vast volumes of data. Posted July 03, 2017

David Weinberger

We believe the future is determined by a set of scientific rules operating on a set of data too vast to be perfectly comprehended. Posted July 03, 2017

The Future of the Future

There's still plenty of thinking, innovating and discovery that needs to be done. Use machines as your tools, not as your master. Posted July 03, 2017

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