... Probabilistic AI increasingly informs outcomes that depend on authoritative data, definitions and rules. Data context provides only part of the organizational context AI needs; data architects must also surface the operational context that shaped the data. Insights at a Glance Issue Impact Implications ...
Analyst(s): Lydia Ferguson | Adrianna Rockford
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... Fresh insights on emerging trends GC need to know that Legora’s Intake release intensifies competition across legal AI markets and reinforces a broader shift in differentiation from AI models to the orchestration and institutional context surrounding them. Overview Analysis Gartner Recommended Reading ...
Analyst(s): Hugh Logue | Chelsea Sweeney | Josema de la Jara
... As AI accelerates in Oracle OCI through use cases such as generative AI copilots or AI agents, IT procurement leaders face consumption volatility, AI cost overruns, and underused commitments. IT procurement leaders should mitigate risk by negotiating multiyear price protections, spend flexibility, and ...
... As AI agents carry out much of the software development work, what attributes and behaviors define successful developers? Software engineering leaders should expect an “intrapreneur developer” persona to emerge, contributing more value, not less. Insights at a Glance Strategic Planning Assumption Gartner ...
... CSOs should expect agentic AI to amplify commercial strengths and weaknesses, not uniformly lift win rates. As AI reshapes pipeline and buyer behavior, evaluate its impact through revenue, pipeline quality, margin, cost, cycle time and forecast accuracy. Insights at a Glance Issue Impact Implications ...
... Agentic AI is poised to transform enterprise operations and consumers’ everyday lives by completely disrupting business processes and consumer tools. The market for stand-alone AI agents and assistants across consumers and enterprises will grow 13x between 2025 and 2030. Insights at a Glance Contributors ...
Analyst(s): Peter Middleton | Kay Arnott | Arunasree Cheparthi
... Access Insights Already a Gartner client? The direct AI services market demands a structured approach to strategic account development. Diverse buying teams, rapid AI technology advances and outcome-focused engagements mean providers must pivot from reactive RFP responses to more proactive opportunity ...
... AI agents will build and use the majority of software products by 2030, making humans the greatest constraint to software delivery — but also the biggest enablers. This research outlines six Gartner positions to help software engineering leaders thrive in a human-centric, AI-native future. Gartner Recommended ...
Analyst(s): Frank O'Connor | C.A. Swan | Tigran Egiazarov | Akriti Kapoor | Mark O'Neill | Brad Dayley | Annie Hodgkins | Philip Walsh | Nabeeha Ahmed | Manjunath Bhat