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Premium Research Jul 2026
... larger system. Software engineers must use feature management to safely experiment with, optimize, and deploy code, configurations, and artificial intelligence (AI) components. Overview Analysis Guidance Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Keith Mann   |   Bill Holz
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Announcement July 02 2025
... fundamental transformation in business operations and innovation," said Roberta Cozza, Sr. Director Analyst at Gartner. "Multimodal generative AI (GenAI) will revolutionize enterprise applications by adding previously unattainable features and functionalities, impacting sectors like healthcare, finance, and manufacturing ...
Premium Research Mar 2026
... recently designated Anthropic a supply chain risk, prohibiting its use in defense-related software. Software engineering leaders must respond to this call to action for disruption readiness in AI-powered development toolchains and AI-enabled applications. Overview Gartner Recommended Reading Evolving Insights ...

Analyst(s):   Jim Scheibmeir   |   C.A. Swan
... was to identify the best way for setting up AI on their platform and effectively executing the AI integration to provide a seamless experience for their customers. How Gartner helped The client was facing a very crucial but vague challenge, where Gartner came in and provided much needed structure and organization ...
Premium Research Jul 2026
... developments in AI for software engineering and their implications for your organization. In the AI briefing for July 2026, learn about how consumption-based AI pricing hikes prompted the new trend of tokenminning and intensified concerns about AI sovereignty. Insights at a Glance Issue In This Month’s ...

Analyst(s):   Annie Hodgkins   |   Neha Agarwal   |   Alec Pallin   |   Frank O'Connor
Premium Research Mar 2026
... As AI reshapes HR work, the greatest risk to HRBP relevance is not automation itself, but continuing to be known for the most visible and lowest-value parts of the role. To remain valuable, HRBPs need to be more intentional about what business leaders know and rely on them for. This note provides a three-step ...

Analyst(s):   Portia Biswas
Research May 2026
... Physical AI will evolve to deliver increased value across more complex tasks, environments and domains, driven by advances in critical enabling technologies. Product leaders must plan for continued disruption by designing R&D roadmaps that prioritize tactical and visionary advances in physical AI task maturity ...

Analyst(s):   Ethan Cai   |   Himanshu Kumar Ojha
Premium Research Jan 2024
... AI and generative AI fervor has many asking: is a chief AI officer needed? For most organizations the answer is no; however, organizations must have an orchestrator role for enabled, empowered and enforced execution of a business strategy infused with AI. Forget the job title; focus on AI’s value. Gartner ...

Analyst(s):   Frances Karamouzis
Premium Research Dec 2025
... AI agents are emerging across technology solutions; however, enterprise buyers may perceive that agents introduce risk to their business. To deliver GTM success, product marketing leaders must effectively message how risk can be minimized and build trust in the value agents can provide. Insights at a ...

Analyst(s):   David Yockelson   |   Ray Pun
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