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Premium Research Aug 2026
... Agentic AI systems introduce new and complex operational and security risks stemming from their autonomous nature and extensive access to tools and data. This tool helps data and analytics leaders identify, assess, and mitigate those risks so that they can deploy AI agents with greater confidence. When ...

Analyst(s):   Lauren Kornutick   |   Ray Collins   |   Claire Song   |   Diarmuid Curran
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Premium Research Aug 2026
... depend on is ready. Enterprise application leaders must harden execution, governance, and accountability across CRM automation before scaling agentic AI. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Adam Briggs   |   Arthur Villa   |   Ilona Hansen   |   Mike Levisay
Premium Research Aug 2026
... are running ahead with the objective of being AI-first, and software vendors across all markets are delivering agentic AI capabilities. However, D&A leaders must ensure that enterprise data and data management practices are capable of supporting agentic AI requirements, including evaluating agents for ...

Analyst(s):   Mark Beyer   |   Ehtisham Zaidi   |   Roxane Edjlali   |   Adam Ronthal
Premium Research Aug 2026
... Gartner First Takes Fresh insights on emerging trends Software engineering leaders should pilot Slack Code to bring AI coding into shared Slack channels if they already use Slack with a partner agent, but should hold off if major platform changes are in the works. Overview Analysis Gartner Recommended ...

Analyst(s):   J.P. Thompson   |   C.A. Swan
Research Sep 2026
... redesign work and roles for a best-fit ratio of human versus AI delivery aligned to the enterprise’s AI ambition and business priorities. Redesign human and AI decisions by determining the optimal allocation of work across humans, AI assistants and AI agents within core D&A workflows before adjusting organizational ...

Analyst(s):   Jorg Heizenberg   |   Jamie O'Brien   |   Antonia Roesler   |   Sarah Turkaly
Research Sep 2026
... support for remediating AI-generated technical debt, software engineering leaders need to translate technical debt into tangible risk. Make the case for why remediation is valuable by presenting critical risk areas, business impacts and the expected results. Insights at a Glance Today’s AI-Enabled Speed Will ...

Analyst(s):   Ross Power   |   Aaron Harrison   |   Nabeeha Ahmed   |   Annie Hodgkins
Research Sep 2026
... Access Insights Already a Gartner client? While AI promises to transform how employees work, real-world execution falls short. This research highlights pioneering digital workplace innovations to help application leaders close the AI value gap in governance, literacy, business returns, and costs. Insights ...

Analyst(s):   Marko Sillanpaa   |   Lacy Lei   |   Tim Nelms   |   Jed Cawthorne
Premium Research Sep 2026
... Gartner First Takes Fresh insights on emerging trends Software engineering leaders should assess their model strategy in light of OpenAI’s withdrawal from SpaceXAI’s Cursor. OpenAI’s move exposes the fragility of third-party model access as model providers and coding agent vendors increasingly embrace ...

Analyst(s):   Nitish Tyagi   |   Philip Walsh
Premium Research Sep 2026
... Government CIOs must transition from headcount-based workforce models to capability-based hybrid workforce models. By managing humans and AI agents as a hybrid workforce, agencies can increase productivity, citizen value and mission outcomes without expanding organizational size. Overview Analysis Gartner ...

Analyst(s):   Anderson Cunha   |   Rishi Sood   |   Luis Mangi   |   Christie Struckman
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