... AI, GenAI and agentic AI techniques are transforming merchandising into a continuously adaptive, data-driven, and highly automated discipline, where AI assistants, real-time signals, and store-level precision enable faster decisions, fewer risks, and materially improved profitability. Overview Gartner ...
Analyst(s): Jonathan Kutner
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... Creating software with AI coding agents is critical for engineering teams looking to increase speed to market, code quality and innovation. This note guides software engineering leaders to learn from the implementation experience of their peers shared on Gartner Peer Insights. Overview Peer Lessons Learned ...
... To secure AI, organizations must transition from siloed compliance to adaptive, automated cyber-risk governance. CISOs who align real-time telemetry with business value build the resilience needed to quickly reconcile volatile systemic shocks. Insights at a Glance Strategic Planning Assumption Issue ...
... marketing leaders must overcome resource bottlenecks to address the challenge of delivering timely, actionable sales enablement at scale. Leveraging AI agents to deliver on-demand, synthesized differentiation and sales narratives is essential for consistent, high-impact field support. Insights at a Glance ...
... Agentic AI enables software engineering leaders to expand test automation and is changing overall workflows. Utilize the growing agentic ability of open-source testing tools, alongside skills development and oversight driven by DevSecOps platforms, to achieve effective gains. Insights at a Glance Issue ...
... Technology executives often struggle to identify the factors that reduce employee motivation during AI and transformation initiatives. This toolkit combines a diagnostic survey, a team heat map, and a facilitated workshop to identify motivation barriers, prioritize actions, and improve team performance ...
Analyst(s): Shawn Murphy | Rob O'Donohue | Kevin Smith
... Unstructured data quality issues — such as fragmented metadata, inconsistent semantics, ROT, and data/model drift — all limit AI scalability. Address quality issues by improving governance, enriching metadata, early assessment of source quality, reusing existing content practices and strengthening cross-functional ...
... Access Insights Already a Gartner client? By adopting a standardized, reusable agent skills architecture, CFOs can create scalable AI infrastructure that lowers maintenance effort, strengthens auditability and adapts readily to emerging cross-platform automation requirements, new technologies and evolving ...
Analyst(s): Ash Mehta | Brian Stickles | Shankar K | Twisha Sharma | Alex Levine | Heather Wilson | Hakan Gunaydin | Sam Roberts