... CFOs turn to AI to improve business results while managing personnel costs, expecting AI to reduce the high personnel costs that comprise 74% of finance spending. However, AI will create finance employees with 10 times more value, meaning that AI won’t reduce finance employee spend at all. Insights at ...
Analyst(s): Mark Boudreau | Amanda Joseph-Little
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... Already a Gartner client? API management should cover the entire API life cycle, ensure strong governance, and adapt to new requirements like generative AI creation and consumption of API, MCP, and federated control. This reference model helps engineering leaders make informed decisions for secure, scalable ...
... Access Insights Already a Gartner client? Machine buyers — machine customers that buy on behalf of organizations — are an agentic AI capability set to transform internal supply chains and procurement, reducing procurement cycles from months to seconds. This note gives CIOs and other executive leaders ...
... Many market observers have called AI investments “a bubble,” where valuations of AI vendors far exceed forecasted revenues. Heads of enterprise architecture must actively mitigate risks by creating contingency plans for AI initiatives, building modular AI architectures, and limiting vendor exposure. ...
Analyst(s): Lucas Kobat | Gilbert van der Heiden | David Groombridge
... The enterprise operating model for agentic AI will shift from human-initiated to autonomous-by-default. Conversational AI scales with human attention. Autonomous operations scale with inference compute and are getting 10 times cheaper every year. Strategic Planning Assumption Gartner Recommended Reading ...
... Gartner client? AI accelerates software engineering productivity and increases business value through fast-paced agentic workflows. To maximize impact, software engineering leaders should adopt agentic AI technologies and practices across the SDLC — from coding and requirements to testing and AI‑driven DevOps ...
Analyst(s): Jim Scheibmeir | Tigran Egiazarov | Brad Dayley
... ROI From AI Initiatives Only 7% of CFOs see high ROI from AI in finance functions, despite growing adoption. Closing the value gap is critical. As AI integration becomes mainstream, CFOs are facing a reality check on ROI Nearly three in five finance teams are piloting or fully implementing AI use cases ...
... In the age of AI, agile practices are essential to harness rapid innovation and accelerate delivery cycles. Software engineering leaders can respond to this shift by leveraging the agile and product transformation roadmap. Gartner Recommended Reading Gartner Insights Abstract ...
... integration is often viewed as a cost, obscuring its critical role in enabling analytics and AI. D&A leaders must adopt this cost optimization framework to advance their data integration maturity, reduce AI data costs, and demonstrate business value. Gartner Insights Abstract ...