... Gartner client? Avoiding agentic AI lock-in with AWS, Google, and Microsoft requires a multipathway framework to exploit native capabilities where risk is low while preserving technical and financial sovereignty. Use this three-pathway matrix to evaluate fully native, hybrid, and vendor-neutral architectures ...
Analyst(s): Mike Warren
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... Machine learning underperforms when organizations target low-risk problems that feel safe but yield little new insight. Machine learning delivers greater ROI when applied to complex, important problems with unknown answers rather than well-understood processes with established insights. Insights at a ...
... European CIOs face rapid AI agent proliferation and rising TCO of technology solutions alongside low value realization. With 71% of enterprises expecting to deploy AI agents by 2027, lack of governance and cost allocation threatens operational stability. CIOs must enforce governance, partner with CFOs ...
Analyst(s): Fabrizio Magnani | Daniel Sanchez Reina
... Gartner First Takes Fresh insights on emerging trends DeepSeek V4 offers enterprise-grade AI coding performance at significantly lower cost than closed-source competitors. Software engineering leaders need to compare V4 to closed-source models to determine the cost-effectiveness of tooling and components ...
... building, deploying, and managing containerized applications across consistent clusters. Adopt infrastructure platform engineering, GitOps, and policy as code to enhance its value by streamlining self-service and multicluster deployments. Overview Problem Statement The Gartner Approach The Guidance Framework ...
... GitHub Copilot’s shift to consumption pricing on 1 June 2026 is set to severely disrupt enterprise AI coding costs. Software engineering leaders must immediately analyze usage, implement spend controls, and prioritize workloads to avoid budget overruns and delivery disruption. Insights at a Glance Strategic ...
Analyst(s): Luke Parker | Nitish Tyagi | Philip Walsh | Keith Holloway
... Traditional threat modeling approaches do not align well with the frequent code releases preferred by software engineers. This research helps organizations adopt AI-augmented threat modeling activities into the software development life cycle to reduce insecure approaches and match the pace of feature ...
... The AI and GenAI market is evolving faster than most organizations can track. Join this complimentary Gartner webinar as Gartner experts reveal the latest global forecasts for AI and GenAI, including updated projections for enterprise adoption, spending growth and technology maturity across key mark ...
... AI coding agents promise significant productivity gains to software engineering teams, but the full promise can only be realized when AI is applied across the full software development life cycle. This tool enables software engineering leaders to forecast AI-driven productivity gains as they expand AI ...
Analyst(s): Miriam Colman | Alec Pallin | Brian Minning