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Premium Research Oct 2026
... The patterns for robust, intentional AI agents are maturing and expanding, Common patterns now span the architecture, design and operation of AI agents using LLMs and foundation models. Software architects must select the right patterns to optimize agent behavior, cost and reliability. Overview Analysis ...

Analyst(s):   Steve Deng   |   Kyle Davis   |   Gary Olliffe   |   Harprit Singh   |   Raúl Arrabales
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Research Jul 2025
... Access Research Already a Gartner client? Core requirements of SASE implementations will substantially change due to four external forces: the rise of AI, geopolitical risks, security platform expansion and evolving threats. Cybersecurity and I&O leaders must make strategic moves to avoid reduced SASE ...

Analyst(s):   Neil MacDonald   |   Andrew Lerner   |   John Watts   |   Charanpal Bhogal
Research May 2026
... Access Insights Already a Gartner client? Exit terms are crucial for SaaS, AI, and agentic AI solutions due to deeper integration and increased reliance on proprietary data and models. IT sourcing, procurement, and vendor management leaders must ensure contracts define IP and data ownership, and guarantee ...

Analyst(s):   Hannah Decker   |   Yanni Karalis
Premium Research Sep 2026
... The proliferation of AI agents within enterprises is already overwhelming most organizations’ IAM capabilities. Cybersecurity leaders must act now to build a strong foundation for workload IAM to ensure that the use of AI agents is both secure and scalable. Insights at a Glance Issue Impact More Detail ...

Analyst(s):   Akif Khan   |   Erik Wahlstrom
Premium Research Sep 2026
... Cognitive debt accrues when AI writes code that no human understands. For software that provides a competitive advantage, this debt comes at too high a cost. With executive alignment, software engineering leaders must decide not just how AI is applied, but where. Insights at a Glance Issue Impact Implications ...

Analyst(s):   Kurt Christensen
Premium Research Oct 2026
... Facing pressure to unify fragmented ERP stacks, enterprises are eyeing AI overlays as an alternative. This paper exposes hidden interdependencies, proving that AI layers augment rather than replace core ERP rationalization, while unlocking compounding value when executed under a unified roadmap. Insights ...

Analyst(s):   Dixie John
Premium Research Oct 2026
... Cut through the agentic AI hype with evidence-based guidance on where retail leaders are achieving real results today. Learn which use cases offer the highest value and feasibility, why they succeed and how capabilities such as AI-powered shopping assistants are improving customer engagement, conversion ...

Analyst(s):   Robert Hetu
Premium Research Aug 2026
... support leaders are eager to know which AI use cases their peers have deployed and how valuable those use cases are perceived to be. This infographic displays benchmarking data from the 2026 Gartner Technology Trends Survey about service and support leaders’ AI use-case adoption and value. Overview Gartner ...

Analyst(s):   Kim Hedlin   |   Daniel O'Sullivan
Premium Research Sep 2026
... rigidity, increase technical debt and expose AI initiatives to execution risk. CIOs should adopt a platform-based approach to enterprise application integration to enhance data discoverability and operational flexibility, which are critical to scaling AI initiatives. Insights at a Glance Strategic Planning ...

Analyst(s):   Rajan Saini   |   Christian Hestermann
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