... Already a Gartner client? AI tools boost developer productivity, yet software engineering leaders see insufficient ROI because time saved isn’t the same as value realized. Leaders must manage both sides of the ROI equation: governing AI costs while maximizing the business outcomes AI enables beyond productivity ...
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... Insights Already a Gartner client? AI requires high investments and carries the risk of delivering marginal returns. CEOs need CHROs to demonstrate value with existing AI tools before budgets are approved for new HR purchases. Discover practical use cases to deliver AI value from existing tools. Insights ...
... spending on AI investments reveals supply chains are suffering from a significant lack of visibility into AI costs and returns. As the primary focus of AI spend in supply chain remains efficiency, CSCOs will struggle to achieve these targets unless they adjust course now to increase visibility into AI spend ...
... AI redefines how supplier value, risk and dependency emerge. This research offers IT SPVM leaders three new lenses — orchestration influence, context ownership and substitutability — to classify providers, design a strategic capability portfolio and govern providers of AI services strategically. Overview ...
... Access Insights Already a Gartner client? AI vision intelligence is shifting from passive vision analytics to autonomous, edge-native, and multimodal systems. Product leaders must optimize product roadmaps for edge architectures, agentic vision, and capabilities that will drive outcome-based pricing ...
Analyst(s): Alizeh Khare | Laura Heath | Nick Ingelbrecht | Milly Xiang | Akhil Singh | Gunjita Mundeja
... 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 ...
... success will be shaped by how organizations innovate, redefine identities, and protect and advance value. In response, CFOs must shape their organizations’ AI strategies by proactively adapting their leadership styles to align with shifting board risk appetites, as a static approach stalls progress. Insights ...
... Access Insights Already a Gartner client? Advances in agentic and generative AI are transforming translation, enabling leaders to expand language coverage, improve quality, ensure compliance, and boost customer experience — driving market growth, engagement, and new revenue in global digital ecosystems ...
... enabling sustainable AI-driven outcomes. AI-ready data stack FAQs Why is data stack modernization critical for scaling enterprise AI? Legacy data stacks can’t deliver the speed, trust or flexibility needed for enterprise AI. According to Gartner, over 75% of organizations now prioritize AI-ready data investments ...