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Machine Learning & AI

Agile Analytics: 11 Ways To Get There

The accelerating pace of global business means that enterprises need more agile data-related systems and practices. Becoming more agile –- and succeeding at it -- isn't always easy given existing technology investments, constant technological evolution, and lingering cultural obstacles. No matter how agile your company is or isn't now, consider these important points.

Lisa Morgan, Freelance Writer

April 26, 2016

12 Slides

About the Author

Lisa Morgan

Freelance Writer

Lisa Morgan is a freelance writer who covers business and IT strategy and emerging technology for InformationWeek. She has contributed articles, reports, and other types of content to many technology, business, and mainstream publications and sites including tech pubs, The Washington Post and The Economist Intelligence Unit. Frequent areas of coverage include AI, analytics, cloud, cybersecurity, mobility, software development, and emerging cultural issues affecting the C-suite.

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