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Premium Research Apr 2026
... CRM sales platforms are shifting from systems of record to AI-driven execution platforms. Sales operations leaders need to prepare as this research explains the market shift and how separating engagement from data and context can improve process execution, signal quality, and sales outcomes. Insights ...

Analyst(s):   Guy Wood   |   Adnan Zijadic   |   Wendy Butler-Mafuz
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Research Mar 2026
... following a three-phase model: foundations, scaling, and orchestration. This avoids fragmented approaches and ensures progress aligns with mission goals and AI adoption pressures. Insights at a Glance Impact Brief Actions Cautions How to Execute Success Measures Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Arthur Mickoleit
Premium Research Mar 2026
... AI is transforming the healthcare provider landscape, offering clinical, operational, financial, regulatory, and patient-centric benefits while posing integration and risk challenges. This research can help healthcare provider CIOs to drive sustainable value by leveraging the benefits, risks, KPIs and ...

Analyst(s):   Saru Mehta
Premium Research Apr 2026
... Generative AI enables entirely new opportunities to automate, augment and improve productivity in enterprise applications. This report provides application leaders with a comprehensive overview of nine critical capabilities, covering the key issues involved, use cases to consider and the synergy across ...

Analyst(s):   Bern Elliot   |   Graham Wilkins   |   Tad Travis
Premium Research Apr 2026
... Experimenting with AI in production is a career risk for I&O. These insights help heads of I&O reduce exposure by enabling controlled experimentation and scaling agentic automation through governance practices that safeguard SLAs and maintain infrastructure uptime against systemic risks. Insights at ...

Analyst(s):   Enrique Castera   |   Daniel Bowers
Research Apr 2026
... Access Insights Already a Gartner client? AI agent deployments can lead to a proliferation of low-value AI agents, while also reinforcing employee job loss fears. AI leaders can use lessons from the “doorman fallacy” story to prevent both, thereby increasing adoption and delivering high-value innovation ...

Analyst(s):   Helen Poitevin   |   Caroline Hewings
Research Mar 2026
... Access Insights Already a Gartner client? AI is transforming customer service, but many organizations struggle to turn pilots into sustained business value. To lead a successful AI program that maximizes value and reduces risk, leaders must treat AI as a product, adopting agile practices to iterate quickly ...

Analyst(s):   Daniel O'Sullivan
Research Mar 2026
... Gartner client? The AI market is out of balance. AI investments in tactical solutions do not reflect enterprise expectations for AI transformation. Providers racing for technical superiority are exceeding the market’s ability to adopt those technologies. Finally, demands for ROI on AI infrastructure and ...

Analyst(s):   Radu Miclaus   |   Adam Woodyer   |   Alastair Woolcock   |   Mark McDonald   |   John Lovelock   |   Errol Rasit   |   Annette Zimmermann   |   Christy Ferguson
Research Mar 2026
... client? Despite heavy investment in AI, most executives do not believe their AI strategy is maximizing value, and an even smaller percentage feel their workforce is prepared for the shift. CHROs are pivotal in closing the people-readiness gap by leading with an AI people strategy that aligns talent, ...

Analyst(s):   Diana Sanchez
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