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Premium Research Feb 2026
... fails to impact revenue growth. CSOs must redesign the function to leverage automation, agentic AI and real-time analytics that drive measurable behavior change required to achieve scalable growth in the AI era. Insights at a Glance Strategic Planning Assumption Issue Context Impact Brief Implications ...

Analyst(s):   Doug Bushée   |   Shayne Jackson   |   Bill Yetman
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Premium Research Feb 2026
... Discover how CSPs can thrive in an AI-powered future. This research offers strategic insights and actions for CSP CIOs/CTIOs to prepare for the four possible CSP 2030 scenarios in the AI era, and seize new opportunities in a rapidly evolving digital landscape. Insights at a Glance Issue Context Impact ...

Analyst(s):   Will Rice   |   Pulkit Pandey
Premium Research Feb 2026
... AI can streamline and strengthen finance’s planning-related processes, but choosing the right use cases is challenging. CFOs should use this assessment of the value and feasibility of common financial planning, budgeting, and forecasting use cases to set their AI pilot selection strategy. Overview How ...

Analyst(s):   Marco Steecker   |   Ash Mehta   |   Alex Levine   |   Srishti Garg
Research Mar 2026
... Access Insights Already a Gartner client? AI can transform people analytics work from data management to insight delivery, but the sensitivity of HR data and talent-related decisions pose unique risks. This report outlines emerging people analytics AI use cases, their strategic impact, and implementation ...

Analyst(s):   Alex Chertoff   |   Tim Pasto
Research Mar 2026
... to date on the latest developments in AI for software engineering and their implications for your organization. In our monthly AI briefing for March 2026, learn about Claude Code’s Agent Teams, the rise of agent harnesses, and runtime-generated experiences with AI agents. Analysis Research Highlights ...

Analyst(s):   C.A. Swan   |   Brent Stewart   |   Gary Olliffe   |   Mark O'Neill   |   Brian Minning
Premium Research Mar 2026
... While service leaders aim to cut costs with AI chatbots, the complexity of natural language and inconsistency of GenAI outputs often undermine ROI. This research provides step-by-step guidance for combining manual testing with agentic AI and other AI-augmentation techniques to maximize chatbot ROI. ...

Analyst(s):   Ian Elliott
Premium Research Feb 2026
... Relying on AI to expand test coverage leads to missed defects, as AI-generated tests often lack depth and precision. To mitigate this risk, software engineers should use AI mutation testing, an emerging technique, to strengthen unit test effectiveness and deliver robust, reliable software. Overview ...

Analyst(s):   Sushant Singhal   |   Erin Khoo
Premium Research Mar 2026
... Agentic AI is the key to business transformation as innovative insurers reengineer digital and customer experiences and deploy a hybrid workforce model that leverages AI agents with human-centric design. Insurance CIOs must optimize agentic AI use to prepare for organizational transformation. Insights ...

Analyst(s):   Kimberly Harris-Ferrante
Premium Research Apr 2026
... Technologies aims to strengthen its AI evaluation and observability portfolio for integrating responsible AI practices in the agent development life cycle. Software engineering leaders and I&O leaders should view this development as a signal to proactively address their AI quality and trust needs now. Overview ...

Analyst(s):   Manjunath Bhat   |   Wilco van Ginkel   |   Padraig Byrne   |   Neil Young   |   Alex Coqueiro
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