... Outcomes with Data, Analytics and AI Are Your D&A and AI Initiatives Truly Driving Strategic Business Growth? By 2027, 60% of organizations will fail to realize the anticipated value of their AI use cases due to incohesive ethical governance frameworks. To ensure maximum business value from your data, analytics ...
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... Access Insights Already a Gartner client? Cloud hyperscalers outpaced growth by unifying data stacks for AI-readiness. Real-time and vector database specialists expanded rapidly. Automated governance to eliminate data bottlenecks for model training emerged as a key opportunity in 2025. Overview Methodologies ...
Analyst(s): Harshita Chibber | Deepali . | Sharat Menon | Nimit Bali | Kevin Quinn | Rahul Yadav | Robin Schumacher | Radu Miclaus | Omar Ansari
... AI is changing how ads are created, targeted and optimized, making data quality a direct driver of advertising outcomes. This research helps CMOs leverage their data to improve ad performance, reduce wasted spend and maintain control over their marketing campaigns. Insights at a Glance Issue Impact ...
... Access Insights Already a Gartner client? Many audit AI initiatives fail to scale due to a lack of AI-ready data. This research helps CAEs prepare data for AI, enabling successful implementation of high-priority AI use cases. Insights at a Glance Impact Actions Cautions How to Execute Success Measures ...
... communications budget for organizations of various sizes, industries or regions. The data will help determine whether you are underfunded relative to comparable peers and support a proposal for increased communications budget. Data Insights Directions for Use About This Research Recommended by the Authors Gartner ...
Analyst(s): Karen Carter | Patryck Allen | Iliyana Hadjistoyanova
... Insights Already a Gartner client? AI in observability platforms requires robust telemetry data management, governance, and quality frameworks. To avoid poor performance and AI risks, I&O heads must address critical data shortcomings, including gaps in completeness, accuracy, and bias. Insights at a Glance ...
... Access Insights Already a Gartner client? Third-party LLMs and AI agents intercept customer interactions, disrupting traditional data-driven strategies and risking a “data drought.” Support leaders must develop the infrastructure, trust frameworks and incentives necessary to engage with customers through ...
... The infrastructure for large-scale AI deployments can overwhelm power and other constraints of enterprise-owned data centers. By choosing emerging AI hardware optimized for enterprise data centers and applying design and operational controls, heads of I&O can deploy infrastructure with sufficient capacity ...
... operations often struggle due to the limitations of traditional operational technology architectures. This research helps infrastructure and operations architects overcome this challenge by outlining an integrated IT/OT architecture, explaining its components and analyzing its strengths and weaknesses. Overview ...
Analyst(s): Mohini Dukes | Sumit Rajput | Avinash Dev Nagumanthri