... core risk to AI adoption is that models don’t just fail, they “fail convincingly” and lead to the loss of stakeholder trust. This research helps data scientists and AI architects translate performance signals into actionable reliability narratives that build confidence in predictive AI models. Overview ...
Analyst(s): Maryam Hassanlou
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... Use this data interactive to explore employee AI sentiment. Executive leaders can leverage these insights to see how enthusiasm for AI’s possibilities directly boosts utilization, allowing leaders to focus on building positive outlooks rather than just mandating tool usage. Data Insights Directions for ...
... Developing a finance AI roadmap is essential for CFOs to align the finance function’s goals with the broader enterprise strategy and ensure effective execution. This tool enables CFOs to drive the creation of an actionable roadmap to help deliver and sustain business value from their AI investments. When ...
... change. The Gartner 2025 Leadership Vision for CCOs outlines how the democratization of communications, unprecedented opportunities and risks from generative AI (GenAI) and intensification of information overload requires CCOs to think and invest differently to bolster the future value proposition of the ...
... The market for EHR cloud hosting and data migration is growing as healthcare providers seek to reduce costs, enhance EHR access, and strengthen cybersecurity and disaster recovery capabilities. CIOs should use this Market Guide to inform their decision making about migrating EHR systems to the cloud. ...
... Access Insights Already a Gartner client? Many CIOs are engaged in practices that don't translate into value, while underinvesting in those that do. Assess your AI strategy against nearly 900 CIO peers to identify overhyped investments to stop, and prioritize the “hidden gems” that compound value, reshape ...
Analyst(s): Tori Paulman | Brandon Germer | Nate Suda | Shanna Grafeld
... AI business cases are often based on assumptions formed before the full costs of operational adoption become visible, creating a growing risk that ROI calculations overstate actual return. As AI moves from pilot to production, GCs should account for hidden operating costs to more accurately evaluate ...
... to defer AI planning to enterprise leadership, assuming the enterprise AI strategy will sufficiently reflect R&D priorities. In practice, this often leaves AI use in R&D tactical and uneven. This research outlines how R&D leaders can define an R&D-specific AI strategy grounded in vision, AI portfolio ...
... Access Insights Already a Gartner client? AI workhubs consolidate fragmented SaaS collaboration tools into a single, cohesive AI interface. By linking siloed data, they eliminate context switching and reduce cognitive load. This shifts teams from solo, serial tasks to a shared, parallel collaborative ...
Analyst(s): Joe Mariano | Jason Wong | Mike Gotta | Rachel O'Farrell