... Customer service leaders face surging AI costs while lacking the financial visibility to prove AI business value. This research delivers a step-by-step framework to track detailed AI spend, attribute outcomes, and optimize portfolio returns to effectively communicate AI program impact. Insights at a Glance ...
Analyst(s): Brett Overbey
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... Building GenAI applications requires the adoption of AI-native software engineering and complementary skills such as data curation, adaptive dynamics and LLM system evaluation. This research identifies the essential skills software engineers should learn to deliver GenAI-powered software. Key Findings ...
... Access Insights Already a Gartner client? Scaling AI agents to production requires replacing ad hoc memory implementations with governed memory capabilities. Software engineering leaders should adopt agent memory tools for reliable continuity across long-running and multiagent workflows. Overview Strategic ...
... Access Insights Already a Gartner client? CFOs face challenges identifying and evaluating AI use cases that align with organizational goals. Leveraging the provided use cases and evaluation criteria helps guide purchase and renewal decisions, ensuring technology investments deliver efficiency and control ...
... Public cloud defaults for agentic AI create severe cost, latency, and compliance risks. Product and infrastructure leaders require workload-aware infrastructure to dynamically route tasks across cloud, edge, and device tiers, ensuring that compliance precedes speed while optimizing cost per outcome. ...
... This comparison plots 20 of the most prominent AI use cases for healthcare providers against value and feasibility. Healthcare provider CIOs can use this assessment to start a strategic conversation that helps guide investment decisions in this technology. Overview How to Use Use-Case Scoring Breakdown ...
Analyst(s): Saru Mehta | Veronica Walk | Allison Dennis
... As AI reshapes procurement, CPOs face new complexities in talent and role design. Success depends on reimagining job structures, evolving skill sets, and cultivating an environment ready for AI-driven change. Insights at a Glance Issue Context Impact Brief Implications Gartner Recommended Reading Gartner ...
Analyst(s): Fareen Mehrzai | Magnus Bergfors | Mel Mohamednur
... The rapid evolution of AI agents presents a significant opportunity for the oil and gas industry. Oil and Gas CIOs can use this presentation to understand the potential for AI agents within the industry, while considering their current limitations and challenges. Gartner Recommended Reading Gartner Insights ...
... Successfully running AI agents in production requires full life cycle operations that establish and maintain trust in agent behavior. Software engineers should use this research to learn the essential patterns for evaluating, observing, and containing AI agents. Overview Analysis Recommendations Conclusion ...