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Research Sep 2025
... Access Research Already a Gartner client? Healthcare CMOs must proactively prepare for and mitigate the multifaceted disruptions impacting their organizations by using scenario planning, advocating for stakeholders and establishing mitigation strategies. Use this research to inform your approach to leading ...

Analyst(s):   Chris Beland
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Premium Research Oct 2025
... Healthcare providers are seeking cloud solutions for better access to innovative technologies, efficiencies and data management agility, but remain cautious about costs and ROI. CIOs can use this research to benchmark against peers and inform cloud adoption strategies. Insights at a Glance Issue Context ...

Analyst(s):   Andrew Meyer
Research Feb 2026
... Leading physical AI startups are creating innovative physical AI architecture, hardware for industry-specific solutions, and preparing for unstructured autonomy. Product leaders must reimagine AI systems and infrastructure and invest in physical intelligence innovation to scale physical AI adoption. Overview ...

Analyst(s):   Ethan Cai
Premium Research Jan 2024
... As executive leaders grappled with decisions about generative AI in 2023, most were starting from scratch. But through the planned addition of fresh expertise, personal experimentation and targeted education, these leaders are entering 2024 positioned for continued learning. Gartner Research ...

Analyst(s):   Steve Shapiro
Research Jul 2026
... Access Insights Already a Gartner client? Future competitive advantage will belong to AI vision innovators who pioneer an agentic layer delivering fully automated, hypercustomized enterprise workflows. Product leaders should embed agentic layers to automate and customize workflows, evolving autonomy ...

Analyst(s):   Milly Xiang   |   Alizeh Khare   |   Akhil Singh   |   Laura Heath   |   Nick Ingelbrecht   |   Gunjita Mundeja
Research May 2026
... Gartner client? Computer vision vendors locked into their traditional business models risk missing out on new opportunities presented by differentiated AI vision intelligence use cases and novel market applications. Product leaders must look beyond technology advances and poorly defined product segments ...

Analyst(s):   Akhil Singh   |   Nick Ingelbrecht   |   Gunjita Mundeja   |   Milly Xiang   |   Laura Heath   |   Alizeh Khare
Premium Research May 2025
... Generative AI (GenAI) depends on robust enterprise document management to ensure relevant, high-quality and secure information for grounding. Application leaders can use this research to build a strong document management strategy to enable successful and responsible GenAI deployment. Overview Introduction ...

Analyst(s):   Tim Nelms   |   Jed Cawthorne   |   Marko Sillanpaa
Premium Research Sep 2025
... Generative AI adoption depends on pipelines that do more than move data. This research explains how to build retrieval-augmented generation pipelines that handle different types of content, monitor drift, enforce metadata quality, and balance performance with budget constraints. Overview Analysis Guidance ...

Analyst(s):   Mayank Talwar
Premium Research Jun 2025
... Novel distributed inferencing solutions for on-device generative AI will enable more effective and efficient inferencing. Product leaders need to prepare for as-yet-unreleased distributed inferencing frameworks and connectivity solutions to avoid premature device obsolescence. Overview Strategic Planning ...

Analyst(s):   Guy Robertson
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