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Research Jul 2026
... Access Insights Already a Gartner client? This report details the research methodologies, segmentation taxonomy, and definitions used in Gartner’s AI spending forecasts. What You Need to Know Introduction Notable Changes Market Methodology High-Level Definitions and Segmentation Gartner Recommended Reading ...

Analyst(s):   Adrian O'Connell   |   John Lovelock   |   Naresh Singh   |   Rishi Padhi   |   Jon Erensen   |   Shailendra Upadhyay   |   Arunasree Cheparthi   |   Kay Arnott   |   Amarendra .   |   Hardeep Singh
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... driving modernization while navigating a rapidly shifting environment, requiring focused attention on operationalizing resources, strengthening data and AI governance and fostering cultural change. Data and analytics (D&A) are essential for just such an evolution. For many organizations, this type of modernization ...

Analyst(s):   George Sellner
Article September 02 2026
... prebunking intervention Whether the anticipated MDMI affected the organization as expected How prominently the organization’s information appears in generative search results related to the claim or narrative How audience sentiment compares between incidents where prebunking was used and similar situations ...
Premium Research Sep 2025
... In 2Q25, banking and investment CIOs focused on legacy system modernization and AI adoption. AI boosted productivity, but implementation barriers remain. Use these insights to refine priorities and benchmark AI maturity with peers. Gartner Recommended Reading Gartner Research ...

Analyst(s):   Van To   |   Benjamin Seesel
Premium Research Jan 2026
... Leading home care and OTC brands leverage digital marketing to boost customer engagement and growth. However, they face increasing volatility as rapid technological change and evolving consumer behavior intensify competitive pressures. This research helps CMOs benchmark digital strategies, identify top ...

Analyst(s):   Dipakshi Mehra   |   Greg Carlucci
Research Feb 2026
... Autonomous agents can accelerate delivery, but they also amplify weaknesses in architecture, testing and governance if strong discipline is not already in place. Software engineering leaders must select AI code assistants or AI coding agents based on team readiness and engineering maturity. Insights at ...

Analyst(s):   C.A. Swan
Premium Research Aug 2026
... Many CMOs know the enterprise AI data fabric is coming but have no plan to join it. The fabric is the infrastructure. Marketing’s data mesh is how marketing takes part. Productize your customer data, set your data contracts (the gives and gets), and field agentic AI to stay in the decision loop. Insights ...

Analyst(s):   Adam Sarner
Research Sep 2026
... leaders need trusted tools to secure and protect AI applications, models, and their underlying infrastructure against prompt injection, sensitive data leakage, and other AI-related threats. These insights will help you navigate established vendors’ positions in this emerging market. Summary Market Definition ...

Analyst(s):   Dionisio Zumerle   |   Meghan Hollis   |   Dennis Xu   |   Marissa Schmidt
Premium Research Sep 2026
... AI and continuous transformation are changing the work HRBPs must perform and the capabilities required to perform it. Gartner’s HRBP competency model defines the Judgment, Execution and Leadership capabilities needed for HRBPs to be successful in an AI-enabled workplace and helps HRBPs identify which ...

Analyst(s):   Chirag Aggarwal
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