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Research Sep 2026
... IT procurement leaders face value leakage as vendors use legacy contracts to shift AI liability downstream and commercialize workflows. To stop exploitation, leaders must follow four negotiation rules, unbundle the AI triad, and establish a shared responsibility matrix across SaaS and SI deals. Insights ...

Analyst(s):   Rajib Gupta   |   Nathan Davie
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Research Oct 2026
... Access Insights Already a Gartner client? Most supply chain organizations are experimenting with AI through disconnected initiatives. This research brings together four emerging AI-enabled performance management capabilities into a single leadership blueprint, helping CSCOs and heads of supply chain ...

Analyst(s):   Ankur Mehta
Research Nov 2026
... ServiceNow’s shift to AI-native packaging, hybrid subscription and consumption-based licensing and pricing dependencies is making costs harder to forecast. To mitigate pricing risks and improve budget predictability, heads of IT procurement must establish governance over licensing metrics, AI consumption and ...

Analyst(s):   Samantha Ruiz   |   Domenico Scriva   |   Justin Galentine   |   Tyler Smith
Research Nov 2026
... Already a Gartner client? AI generation is now standard across leading low-code platforms, so it no longer separates vendors. This research gives software engineering leaders a six-step method to select one that can build, maintain, govern, verify, integrate, and cost control trusted AI output at scale. Insights ...

Analyst(s):   Nitish Tyagi   |   Kyle Davis   |   Kelli Smith   |   Adrian Leow
Research Sep 2019
... Realizing exemplary digital care delivery outcomes requires effective collaboration between executive-level care delivery operations, clinical informatics and IT leadership. Healthcare provider CIOs can apply these best practices to ensure effective collaboration across CIO, CNIO and CMIO roles. Key ...

Analyst(s):   Susan Hull
Conference Highlight May 19 2021
... Gartner Even as enterprise artificial intelligence (AI) maturity grows, many myths persist about this technology. In this session, Alexander Linden, VP Analyst at Gartner, discussed the most common myths and pitfalls facing AI and machine learning experts. Key Takeaways Myth #1: AI capabilities surpass human ...
Research Jan 2026
... Access Insights Already a Gartner client? AI use cases in finance and accounting BPO are expanding beyond invoice processing to now encompass areas like fraud detection and reporting commentary. CFOs comparing the value and feasibility of use cases should also pressure-test providers’ data sovereignty ...

Analyst(s):   Jan Ambergen
Research Oct 2026
... Access Insights Already a Gartner client? AI products struggle to scale due to fragmented data access, inconsistent workflows and weak governance. D&A leaders should use MCP to standardize interactions between agents and governed, AI-ready data products, enforcing consistent access patterns through machine-readable ...

Analyst(s):   Soyeb Barot
Research Sep 2026
... Already a Gartner client? Customer service leaders face intense pressure to deploy AI; however, they are frequently not achieving the ROI originally expected. This research provides actionable guidance on how to choose AI use cases that will deliver the most impact for your business based on your service ...

Analyst(s):   Devra Struzenberg
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