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Data scientists and data science teams face similar challenges, which Dev Ops concepts can help address.Senior executives who have been making hollow promises about embracing data-driven strategies need to be convinced that now is the time for real action.We allow third-party companies to serve ads and/or collect certain anonymous information when you visit our web site.These companies may use non-personally identifiable information (e.g., click stream information, browser type, time and date, subject of advertisements clicked or scrolled over) during your visits to this and other Web sites in order to provide advertisements about goods and services likely to be of greater interest to you.These companies typically use a cookie or third party web beacon to collect this information.To learn more about this behavioral advertising practice or to opt-out of this type of advertising, you can visit

The following day you can check your matches and send/read messages to other guests for free using our online dating site.Here are some ways that data professionals can gain the support they need.In today's technology-driven world, "innovation" has become a basic expectation.Download our report to learn about the biggest challenges and how savvy IT executives are overcoming them.Is Dev Ops helping organizations reduce costs and time-to-market for software releases? Find out in this Information Week and Interop ITX infographic on the state of Dev Ops in 2017.But, if you fail to properly introduce, support, and integrate data science capabilities, a lot of money can be wasted.

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