Who determines ethics in a machine-run world?

A case for “Society in the loop artificial intelligence”


Posted by Jim Guszcza on May 19, 2017

As automation and robotics fueled by artificial intelligence (AI) become more mainstream, many areas of industry are set to undergo revolutionary changes. New sorts of jobs will likely emerge, some existing jobs will likely undergo transformation, and others may go away. There is good reason for concern about societal disruption, and a pressing need for enlightened societal-level dialogue. But we should not lose sight of the bright side to the creation of machines capable of helping with laborious “spade work.” AI has the potential to create significant value by making us more efficient, extending our intelligence and decision-making capabilities, saving organizations money, and generally helping societies run more smoothly.

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Transformative analytics: Three steps toward an insight-driven advantage


Posted by Nitin Mittal on May 5, 2017

How can hospitals reduce insurance company reimbursement denials that cut into their revenue? How can fleet operators leverage enormous data sets soon to be generated by vehicle-embedded sensors? How does an oil company optimize wellhead operations on an offshore rig? Transformative analytics could hold answers to these and many other outcome-focused questions.

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What’s in store for government organizations in 2017?

A new route for better outcomes


Posted by Rachel Frey on February 9, 2017

Anyone can create insight. What really counts is the actions government organizations take with it. The best analytics initiatives start with outcomes in mind—outcomes like supporting better engagement, working smarter, increasing efficiency, reducing costs, and bettering lives—and then the mission-critical plan for realizing them. As 2017 kicks off, four exciting trends are emerging in the health and human services arena that can make use of data to produce cost-containing outcomes more than ever:

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