... leaders face a rapidly evolving landscape of platforms and frameworks for building AI-powered solutions. Leaders must use a layered stack that balances enterprise governance with developer flexibility to streamline delivery of AI agents and applications. Gartner Insights Abstract ...
Analyst(s): Shiva Varma | Luke Parker
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... benchmark and guide your investment decisions. See adoption timelines, risk analysis, and value drivers for 40 development technologies such as AI code assistants, agentic AI, microservices, synthetic data and MCP. Gartner Insights Abstract ...
... The AI race drives 2026 investment, with AI services (48%) leading the way for planned investments. With build initiatives averaging nearly six technologies and/or services, high-tech executives must focus on building partnerships and capabilities that reduce risks for these complex projects. Gartner ...
Analyst(s): Kevin Lindsay | Arjun Boparai | Brayden Napoli | Hank Barnes
... Access Insights Already a Gartner client? AI is incinerating old work models, while creating productivity illusions and automation ambitions. Tech service leaders must help enterprises generate real value from AI in order to be relevant. Overview Strategic Planning Assumption Analysis Gartner Recommended ...
... As agentic AI grows, data and analytics leaders must implement comprehensive and granular data lineage to manage the risks of agentic AI. This will ensure compliance, boost trust, and improve explainability. Insights at a Glance Issue Context Impact Brief More Detail Gartner Recommended Reading Gartner ...
... Fast-evolving expectations for AI learning can quickly overwhelm learning budgets. This research outlines how learning and development leaders can use employee learning personas to design and deliver relevant AI learning at scale. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading ...
Analyst(s): Meaghan Kelly | Brittney Ermatinger | Carmen von Rohr
... AI is drastically changing how organizations do business and operate. Being “data-driven” is no longer sufficient. As a result, data and analytics strategies must be reimagined with an endgame of being AI-first. The capabilities, competencies and processes required to utilize AI and data must be redesigned ...
... Gartner client? Expectations for AI adoption and usage in marketing continue to be elevated but both results and adoption at scale remain elusive for the majority of B2B organizations. In order to drive scale and real business impact from AI, B2B CMOs need to establish AI COEs to close these gaps and enable ...
... Unguided AI agents in partner ecosystems can exceed enterprise risk tolerance. CIOs must lead value realization from agents by translating strategic boundaries into safe execution that protects the enterprise from liability. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner ...