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Premium Research Sep 2026
... offers a strong portfolio of AI capabilities and seamless integration across its ecosystem, but faces challenges with model differentiation and proprietary infrastructure. This unique Gartner analysis compares Microsoft’s capabilities with primary competitors across 10 critical AI capability layers. Note ...

Analyst(s):   Adrian O'Connell   |   Mark Cooper   |   Alastair Woolcock   |   Cary Pillers   |   Robert Brown   |   Svetlana Sicular   |   Russ Hendy   |   Eric Goodness   |   Rita Sallam   |   Chris Laske   |   Luis Pinto   |   Chirag Dekate   |   Padraig Byrne   |   Mark Driver   |   Frances Karamouzis   |   Daryl Plummer   |   Enrique Castera   |   Alfredo Ramirez IV   |   Naresh Singh   |   Pieter den Hamer   |   Jim Hare   |   Ray Valdes   |   Roxane Edjlali   |   Jeremy D'Hoinne   |   Aaron Rosenbaum   |   Meghan Hollis   |   Fernando Paiola   |   Sumit Agarwal   |   Nitish Tyagi   |   Whit Andrews   |   Mark Wah   |   Haritha Khandabattu   |   Birgi Tamersoy   |   Gary Olliffe   |   Annette Zimmermann   |   Chandra Mukhyala   |   John Watts   |   Lauren Kornutick   |   Radu Miclaus   |   Tigran Egiazarov   |   Gaurav Gupta   |   Ayca Moseley   |   Arun Chandrasekaran   |   Mike Cisek   |   Jason Wong   |   Tracy Tsai   |   Zane West   |   Neil MacDonald   |   Soyeb Barot   |   Chris Howard
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Premium Research Oct 2026
... The AI risk landscape is changing faster than most insurance policies. As carriers rethink coverage for AI-driven incidents, CIOs need to understand not only how they govern AI but also where costly gaps in protection may be hiding. Insights at a Glance Strategic Planning Assumption Issue Impact More ...

Analyst(s):   Paul Furtado
Premium Research Oct 2026
... Only three in 10 workers strongly agree their organization offers AI training for different skill levels. Building an AI-ready workforce without appropriately challenging learning produces no lasting AI habits. This research shows CIOs how to use intrinsic motivation to sustain skill development. Insights ...

Analyst(s):   Shawn Murphy   |   Rob O'Donohue   |   Kevin Smith
... outcomes with AI-powered tools, on-demand insights and interactive experiences. Top questions from supply chain leaders — and how we answer them How can we ensure our AI investments deliver measurable business value? Learn how to use the Gartner AI Maturity Assessment for Supply Chain to evaluate AI readiness ...
Research Sep 2026
... Access Insights Already a Gartner client? AI can make sellers more efficient, but efficiency alone does not win deals. In critical buyer moments, seller skills often become brittle under pressure, reducing the return on skill investments. Using AI, CSOs can develop the seller mindsets that activate those ...

Analyst(s):   Guy Wood   |   Kelly Fischbein   |   Melissa Hilbert
Research Sep 2026
... Insights Already a Gartner client? Organizations are burning through their AI token budgets in weeks but have no idea whether they have created any value. This research arms CIOs with the five best productivity metrics to show whether AI workforce adoption is improving work, building capability, and driving ...

Analyst(s):   Tori Paulman
Research Oct 2026
... Access Insights Already a Gartner client? Manual journal preparation can delay the close and increase the risk of errors, whereas AI-driven automation can reduce close cycle times, improve accuracy and strengthen controls. CFOs should prioritize journal automation to accelerate the close while still ...

Analyst(s):   David Condon
Article July 30 2026
... CFO Accountability Is Moving Upstream With AI Forecasting AI-powered forecasting shifts financial risk upstream and changes how CFOs stay accountable. By Matthew Mowrey | July 2, 2026 Forecast risk is shifting and becoming less visible AI-enabled forecasting is fundamentally changing how risk forms and ...
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):   Hardeep Singh   |   Shailendra Upadhyay   |   Adrian O'Connell   |   Amarendra .   |   John Lovelock   |   Rishi Padhi   |   Naresh Singh   |   Kay Arnott   |   Jon Erensen   |   Arunasree Cheparthi
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