... Predicts 2022: No Time to Look Back — A Gartner Trend Insight Report Use these predictions to frame the strategic planning assumptions that will drive your business in the next decade. Analyst(s): Daryl Plummer, Frances Karamouzis, Gene Alvarez, Janelle Hill, Rita Sallam, Svetlana Sicular, Leigh McMullen ...
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... Ineffective data and analytics governance compromises model integrity and leads to potential mistrust in AI results. Data and analytics leaders must emphasize three key dimensions to ensure trusted, actionable AI results that foster confidence in related business decisions. Overview Introduction Analysis ...
Analyst(s): Guido De Simoni | Lydia Clougherty Jones | Lauren Kornutick | Priya Sundararaman
... technical professionals with naming conventions that support AI use cases, engineering use cases and user-facing programs such as data literacy and data governance. Overview Analysis Recommendations Conclusion Gartner Recommended Reading Gartner Research ...
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... Access Insights Already a Gartner client? As autonomous AI agents scale, enterprise knowledge risks silent degradation. This research delivers a five-stage roadmap — protect, govern, assure, automate and optimize — for heads of EA to establish knowledge integrity governance and transition to automated ...
... Access Insights Already a Gartner client? Organizations remain vulnerable to hidden disruptions when relying on traditional spend-based concentration models. Chief procurement officers need to pivot toward managing comprehensive concentration risks. Without active governance, operational failures will ...
... Access Insights Already a Gartner client? While AI promises to transform how employees work, real-world execution falls short. This research highlights pioneering digital workplace innovations to help application leaders close the AI value gap in governance, literacy, business returns, and costs. Insights ...
Analyst(s): Marko Sillanpaa | Lacy Lei | Tim Nelms | Jed Cawthorne