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Premium Research Oct 2025
... AI-based application costs are rising, often adding complexity instead of simplicity. This research helps application leaders streamline their AI application portfolio using rationalization techniques. More Detail Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Sohail Majumdar
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Premium Research May 2025
... In the rapidly evolving retail landscape, data, analytics and AI are pivotal in driving strategic decision making and innovation. By leveraging these trend insights, retail CIOs can adapt their organizations to enhance customer experiences, optimize operations and boost business performance. Overview ...

Analyst(s):   Retail Industry Research Team
Premium Research Jul 2025
... This guidance helps CCOs prioritize high-value projects by aligning business impact and Communications’ ability to influence audiences. By leveraging AI to empower business partners to fulfill tactical communications tasks, CCOs can invest the time saved to pursue higher-value opportunities. More Detail ...

Analyst(s):   Paul Swiergosz
Premium Research Oct 2025
... IT’s AI-driven reinvention won’t happen organically. It will result from a deliberate strategy and a set of initiatives led by the CIO. This resource offers CIOs three ways to approach IT’s reengineering so that they can pursue a strategy that matches their business context and ambitions. Gartner Research ...

Analyst(s):   Milind Govekar   |   Meghna Joshi   |   Rajesh Kandaswamy
Research May 2025
... Access Research Already a Gartner client? Generative AI for e-billing and matter management is poised to transform corporate legal departments, leading to increased productivity and reduced legal spend, yet only a few vendors are currently offering GenAI in their products and even fewer legal departments ...

Analyst(s):   Weston Wicks
Premium Research Oct 2025
... Leaders responsible for AI struggle to operationalize machine learning projects in a way that ensures continuous value delivery. Risk can be reduced and long-term success can be achieved by leveraging Gartner’s three-stage MLOps framework. Overview Introduction Analysis Contributors Gartner Recommended ...

Analyst(s):   Souparna Palit   |   Afraz Jaffri
Research Aug 2025
... Access Research Already a Gartner client? AI agents are collapsing software and service categories by shifting transactional value from technology and labor to outcomes. Outcome-as-Agentic-Solution concentrates power and margin in the execution layer, creating both risks for incumbents and opportunities ...

Analyst(s):   Adam Woodyer   |   Vuk Janosevic
Research Jun 2025
... Access Research Already a Gartner client? CIOs are under pressure to deliver quantifiable business value from AI and ensure it is aligned with organizational outcomes. This research provides ten outcome metrics that can demonstrate either cost reduction, revenue growth or employee experience. Overview ...

Analyst(s):   Arun Chandrasekaran   |   Frances Karamouzis   |   Mandi Bishop   |   Hung LeHong   |   Nate Suda   |   Sharon Chinn   |   Chet Geschickter   |   Rajesh Kandaswamy
Premium Research Oct 2025
... as legislation requires reporting, accuracy, and accountability. The vendors highlighted in this research are transforming the market with innovative AI and data expertise, enabling supply chain technology leaders to address data quality. Overview Strategic Planning Assumption Analysis Gartner Recommended ...

Analyst(s):   John Blake
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