Posts tagged algorithms
Welcome to the Age of Explainability

Modern life has been good for those who understand and can develop analytics. From sex to soccer, data and algorithms are having an increasing impact on how important decisions are made. But it hasn’t been as pleasant for those who don’t understand algorithms but are still subject to the decisions they help to make.

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Human or Machine? Two Paths for Deploying Analytics

As data science and analytics teams continue to feel pressure to deliver more value from analytics, many organizations still struggle with the processes and technology required to deploy models into production and more rapidly make data-driven decisions. When evaluating how to best undertake these activities, organizations should consider an important distinction to determine the best path forward.

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84.51° Builds a Machine Learning Machine for Kroger

84.51°’s Chief Operations Officer, Milen Mahadevan, is a champion for automation of processes and products within the organization. 84.51°’s Shop, a custom-built BI platform that allows CPG customers to pull detailed reports about shopping behavior, is a successful example of BI automation.

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Meet Your Next Lawyer, The Algorithm

The legal profession has been one of the least aggressive adopters of technology in the past, and in many ways the field resembles the law as practiced a hundred years ago. But it’s on the verge of a major transformation involving automation and the use of technology to make intelligent legal decisions. The legal profession, already suffering from an excess of supply over demand, could be decimated unless lawyers embrace smart machines much more than in the past.

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Google And The Transformation Of Marketing

I spoke last fall at the Google Analytics Summit in Mountain View, and couldn’t help being impressed with the pace of change at both Google and the marketing profession in general. As an aside, it struck me that Google today is much like AT&T in its prime: a near-monopoly in search and search advertising, strong product development, and a lot of really smart people. Both companies are quite analytical; almost every decision at Google is data-based, and AT&T pretty much invented database marketing.

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