How Gartner can help turn your AI vision into business reality SPONSORED POST: Feeling stuck with your AI application projects? Gartner has the solution For enterprise application, architecture, and software engineering leaders, the artificial intelligence conversation has moved past experimentation.Boards and finance committees expect pilot projects to graduate into production and to demonstrate measurable business value.A strategy deck no longer clears the bar. The expectation now is production-ready systems that deliver outcomes finance can measure: cost savings, staff redeployment to higher-value work, and a return on investment that survives committee scrutiny.Several converging realities make those goals harder to reach than they look on paper.According to research and advisory outfit Gartner, the biggest barrier to progress for three years running has been technical incompatibility and architectural complexity, because fragmented systems, legacy dependencies, and inconsistent data models hamper integration wherever documentation and governance fall short.Too few organizations have laid the technical foundations required to move AI trials into production. Scalable infrastructure, well-managed data pipelines, and security guardrails able to withstand production workloads all remain in short supply.Workforce upskilling adds another layer of difficulty, as does the cultural change that follows when AI reshapes job roles and workflows across the business.Turning AI vision into business realityAddressing these problems is the purpose of Gartner's Application Innovation and Business Solutions Summit 2026, which runs September 14-15 at the InterContinental hotel near the O2 arena in London and sets out to help delegates translate AI vision into working systems.Under the theme "Deliver the future: Innovate, Lead, Act", speakers drawn from Gartner's analyst ranks and industry practice will explain how to build and operate AI-enabled systems.Sessions cover application p...
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