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85% of IT organizations follow a DevSecOps model
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84% of data and analytics leaders say their data strategies need an overhaul to reach their AI goals
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89% of data and analytics leaders say a strong data foundation is the most critical factor for successful AI
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89% of data and analytics leaders with AI in production say they’ve experienced inaccurate or misleading AI outputs
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55% of data and analytics leaders at companies training their own models report they’ve wasted significant resources doing so with bad data
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88% of data and analytics leaders say AI demands entirely new approaches to governance and security
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63% of data and analytics leaders say their companies struggle to drive business priorities with data
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49% of business leaders say they can reliably generate timely insights
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Data and analytics leaders estimate 26% of their organizations’ data is untrustworthy.
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89% of data and analytics leaders believe unified data is key to meeting customer expectations
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Data and analytics leaders estimate 19% of company data is siloed, inaccessible, or unusable
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Only 29% of enterprise applications are connected (out of an average of 897 applications used)
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