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Unlocking AI/ML Success with Trusted, Unified Data

Reltio

Long data preparation cycles: Without a good data foundation, your data science and data engineering teams will spend unnecessary time and effort preparing the data sets so that the AI tool can use them and feature extraction can be performed effectively and efficiently, as applicable.

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Creating and nourishing a DevOps culture: key takeaways for agencies

CGI

Digital transformation is forcing a rethinking of business process simplification, data science is taking on a new importance with a push for data-driven insights, and federal CIOs are learning how to wield new authorities effectively to meet the accompanying new levels of accountability. ravi.kumarv@cgi.com. Add new comment.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Marketing teams can create and share marketing content such as online blog posts, white papers, e-books, or short videos that can be posted on social media platforms and targeted towards various audiences. Customer Data Platforms (CDP).

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The Business of Data Newsletter – Issue 7 (7 December 2018)

Information Matters

Retailers are most at risk globally, with 62% of respondents willing to walk away after a data breach, followed by banks (59%) and social media sites (58%), according to a survey of 10,500 consumers by digital security firm Gemalto.” 71% of UK businesses at risk due to data skills gap, CEOs say – TechRepublic, 26 November 2018.

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