Few current laws address the use of artificial intelligence. That puts companies under greater pressure to reassure the public that their AI applications are ethical and fair.
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Make sure that your use of machine learning has more substance than hype. Here's a framework you can use to help you cut through the noise.
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Not all organizations are succeeding with their digital transformation efforts. For one thing, the focus of their success metrics may be too narrow.
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Continuous integration and continuous deployment are IT practices that encourage testing code often. Learn how these practices also shape data-driven initiatives.
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The crux of the problem in deploying a data science team is aligning the technical knowledge of a team to the needs of the business and choosing an alignment that offers the greatest impact.
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