... Already a Gartner client? Secure, resilient, modular and scalable data centers are top priority for heads of I&O, but they must also optimize costs and track emerging technology trends. This Hype Cycle covers innovations that redefine data center infrastructure, drive transformation and strengthen IT platforms ...
Analyst(s): Henrique Cecci
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... Data and analytics leaders have an imperative to exploit enterprise information assets for business value, especially during uncertain climates and business disruption. Use this research to target opportunities and maximize business value contribution. Gartner Insights Abstract ...
... 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. Overview ...
... Data and analytics leaders need to support the opportunities and challenges of today’s digital business with the right competencies. Now is the time to create data and analytics roles that are fit for the future. Gartner Insights Abstract ...
... Access Insights Already a Gartner client? Hyper-synthetic data (HSD) is central to the AI race, transforming AI training, forecasting and data analysis by overcoming real data’s shortcomings. Product leaders relying solely on real data will struggle against competitors using HSD to improve AI models, ...
... 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 ...
... 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 ...
... 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