... the vast majority (82%) of non-RDBMS functionalities will be incorporated into modern RDBMS platforms. This will allow RDBMSs to support nearly all AI and non-RDBMS use cases, making the intricate “polyglot persistence” architecture unnecessary for the general market. Overview Analysis Gartner Recommended ...
Analyst(s): Robin Schumacher
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... Access Insights Already a Gartner client? Empower your organization to realize AI goals confidently, knowing they are built on secure principles. Foster AI experiments in the cybersecurity team to accelerate roadmaps. Analysis Gartner Insights Abstract ...
... model evolve given AI and changing buying dynamics? Use this guidance to stay ahead, achieve your goals and lead product marketing success in 2026 and beyond. How should I evolve my organization and talent strategy to account for emerging tech and AI adoption? Learn how to integrate AI into existing workflows ...
... model evolve given AI and changing buying dynamics? Use this guidance to stay ahead, achieve your goals and lead product marketing success in 2026 and beyond. How should I evolve my organization and talent strategy to account for emerging tech and AI adoption? Learn how to integrate AI into existing workflows ...
... its use in defense-related software. Software engineering leaders must respond to this call to action for disruption readiness in AI-powered development toolchains and AI-enabled applications. Overview Gartner Recommended Reading Evolving Insights History ...
... Agentic AI’s Next Hurdle Is Cost, Not Capability Agentic AI adoption will stall if pricing models fail to keep pace with rising inference costs and ROI expectations. October 26, 2026 Agentic AI’s value gap is widening Agentic AI adoption is accelerating, but the economics behind it are becoming harder ...
... finance plugin for Anthropic’s Claude Cowork packages finance-specific agentic workflows into reusable “skills.” This lowers the barrier to entry for AI-enabled finance workflows, but still requires org-specific tuning, least-privilege access, testing and human signoff. Overview Analysis Gartner Recommended ...
... particularly important as AI market economics continue to evolve. Gartner predicts that AI spending will reach $4.7 trillion by 2029, up from $1.8 trillion in 2025. However, traditional provider-enterprise value relationships will not drive AI adoption. Simply delivering an AI feature or tool is unlikely ...
... Access Insights Already a Gartner client? Large quantitative models (LQMs) will supplant all other AI models for finance and science problems. Product leaders relying on LLMs to analyze complex, multidimensional datasets will become irrelevant as they’ll be unable to match the speed, accuracy, or transparency ...