... Access Insights Already a Gartner client? Custom-built AI agents cost more than organizations expect because costs compound structurally across multistep workflows. Software engineering leaders must establish where costs originate from, apply mitigation strategies, and monitor architectural developments ...
Analyst(s): Shiva Varma
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... Static documentation fails to represent complex software behavior, leading to costly business-IT misalignment. Software engineering teams should use AI prototyping to validate requirements by seeing the software in action rather than relying on potentially ambiguous and erroneous specifications. Insights ...
... Access Insights Already a Gartner client? AI adoption is not scaling equally in every region due to specific constraints and demand drivers in different countries. Winning tech service leaders will target solutions built to reflect buyer criteria, employ quick-start templates and go-to-market plans that ...
Analyst(s): Ted Chamberlin | Katie Gove | Fernando Pereiro
... only on technographic and firmographic “fit” data flood their sales pipelines with false positives and stalled deals. Instead, they should implement AI-augmented ICPs that pinpoint actively buying accounts, save seller time and improve pipeline performance. Insights at a Glance Impact Brief Actions ...
... CHROs are struggling to stay relevant in AI transformations and maintain a strategic seat at the leadership table. This research shows how they can elevate themselves above transformation mechanics to architect the systems governing how work is done in their organizations while preserving fairness and ...
... only on common features. To optimize ABM platform selection and truly enhance personalization and platform performance, they must focus on identifying AI-driven differentiators in the vendor evaluation process. Insights at a Glance Impact Actions Cautions How to Execute Success Measures Gartner Recommended ...
... Each potential benefit of a lakehouse comes with its own set of challenges. To realize the transformative potential of a lakehouse for AI, D&A leaders need a clear strategy and targeted investments in skills development, data governance, and operational excellence. This research guides D&A leaders in ...
Analyst(s): Masud Miraz | Michael Gonzales | Prasad Pore | Henry Cook | Adam Ronthal
... Access Insights Already a Gartner client? Only one out of every 50 AI initiatives exceeds enterprise value expectations. An organization’s ability to align AI investments with its maturity level is at a breaking point. The essential value of a CMO in removing this barrier to growth lies in understanding ...
... Traditional AI adoption metrics fail when coding agents execute work autonomously. Software engineering leaders need contribution-oriented metrics that govern agent output, attribute delivered work, and establish trust before scaling. Gartner Insights Abstract ...