... The optimal organizational model for data and analytics requires balancing centralized and decentralized teams that collaborate within lines of business. Data and analytics leaders must take one of several possible approaches to strike the ideal balance. Gartner Insights Abstract ...
Analyst(s): Jorgen Heizenberg
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... Access Insights Already a Gartner client? AI data center construction is accelerating far beyond historical planning cycles — not only straining the power grid, but also creating a multidimensional resource squeeze across land, cooling, substations, transmission, EPC labor, transformers, and developer ...
... Gartner First Takes Fresh insights on emerging trends Datadog’s partnership with Sakana AI shows that observability vendors cannot conquer the complexities of AI observability alone. Heads of I&O should use this research to challenge vendors on their AI roadmap and build evaluation criteria before the ...
Analyst(s): D.B. Cummings | Padraig Byrne | Neil Young | Martin Caren
... In today's business environment, storytelling is a critical element for the success of any business or IT initiative. IT leaders who can tell compelling stories are better positioned to influence and engage their organizations effectively. Join this complimentary Gartner webinar as a Gartner expert ...
... Decentralized data consumption and the rise of generative AI are transforming data management into an interdisciplinary function. Data management leaders can meet business needs by cultivating business acumen, metadata management, AI engineering, compliance and infrastructure skills in their teams. ...
Analyst(s): Adam Ronthal | Ben Yan | Masud Miraz | Xingyu Gu
... organizations off guard. They are realizing that they lack sufficient data and insights to combat an epidemic before it spirals out of control. Data and analytics leaders must develop a comprehensive pandemic preparedness strategy using data and modern technology. Overview Analysis Impacts and Recommendations ...
... digital business is a data-driven business whose success depends on all employees being information workers who can “speak data.” Data and analytics leaders, including chief data officers, must become change agents focused on the transformational impacts of data-driven culture and data literacy. Gartner ...
... Data engineering teams must improve their skills and techniques to support new and emerging AI use cases. This research will help data management leaders keep their teams up to date in the current AI era by prioritizing knowledge capture through semantics, adopting DataOps practices and investing in ...
Analyst(s): Ehtisham Zaidi | Yogesh Bhatt | Robert Thanaraj | Michael Gonzales
... business analytics teams and support better decision making with data. The Conventional Supply-Side View of Data The Era of Business Analytics Teams Activities of Business Analytics Teams Composition of Business Analytics Teams IT’s Role in Data and Analytics Triaging Engagement Conclusion Next Steps About ...