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...
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