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Premium Research Aug 2026
... The wrong AI innovation approach can doom initiatives before they begin. Top innovators share four things in common that CIOs should prioritize: a focus on business constraints, the application of agentic workflows, a preemptive governance strategy, and a target of compounding AI value. Insights at a ...

Analyst(s):   Uri Lerner   |   Lachezar Manasiev
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Premium Research Sep 2026
... insights on emerging trends CMOs must prepare as Amazon’s block of Meta’s Muse AI signals a broader battle to govern AI agents and command customer experience. To protect first-party customer data and ad spending, CMOs must treat AI agents as a distinct customer class governed by transparent, opt-in frameworks ...

Analyst(s):   Lizzy Foo Kune   |   Jason Daigler   |   Mark O'Neill   |   Manoj Bhatia
Premium Research Sep 2026
... Multitrillion-dollar write-downs of AI infrastructure are likely, but not imminent. The provider consolidation, pricing volatility, and changing AI economics likely to follow should be the primary concern to product managers. Design products that remain viable under higher AI costs, fewer provider choices, ...

Analyst(s):   John Lovelock   |   Mark McDonald   |   Will Sommer
Research Sep 2026
... Access Insights Already a Gartner client? Tech CEOs must navigate the AI era, where the convergence of AI-driven potential and enterprise risk is absolute. Four of Gartner’s seven themes empower tech CEOs to navigate rapid change, mitigate hidden risks and capture value through 2027. Analysis Research ...

Analyst(s):   Sabine Zimmerhansl   |   Raymond Paquet
Premium Research Sep 2026
... IoT serves as a foundational layer for physical AI by providing real-time data from connected devices. This two-way communication is the first step for AI systems to interact intelligently with the physical world, driving automation and smarter operations. Insights at a Glance Issue Impact More Detail ...

Analyst(s):   Srujan Akurathi
Research Jul 2026
... Already a Gartner client? Heads of I&O and their teams are expected to change their function’s skills, foundation, and ways of working to support an AI-first organization. They must articulate where they are providing tangible value in these areas to their stakeholders, as well as where they need support ...

Analyst(s):   Owen Marino
Research Jul 2026
... single version of the truth, use semantic layers and data catalogs to distinguish between similar metrics and guide users on when and how to use them. AI needs a context layer; D&A leaders should use it to improve their metrics. Insights at a Glance Impact Actions How to Execute Success Measures Gartner ...

Analyst(s):   Kurt Schlegel   |   Edgar Macari
Premium Research Jul 2026
... success will depend on how deliberately enterprises select and govern software engineering technologies and markets that shape developer productivity, AI-assisted delivery, platform reuse, and time to value. This research guides CIOs on where to standardize, where to enable controlled innovation, and which ...

Analyst(s):   Aviral Vyas   |   Milind Govekar
Research Aug 2026
... alone will not close the gap fast enough, risking value erosion. CPOs must update talent strategies to access the necessary skills and prepare for an AI-enabled future. Insights at a Glance Impact Actions Cautions How to Execute Success Measures Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Jasdeep Sandhu   |   Fareen Mehrzai   |   Thomas Pocock   |   Andrea Greenwald
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