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Premium Research Feb 2026
... AI design-to-code accurately translates UI designs into front-end code, automating a tedious process. Software engineers should use AI-native application generation and agentic development design-to-code workflows to accelerate software delivery while preserving design intent in implementation. Overview ...

Analyst(s):   Paige Kirk
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Research Sep 2026
... Access Insights Already a Gartner client? 亦賀 忠明 (ディスティングイッシュト バイスプレジデント アナリスト) による重要な視点とインサイト。 Gartner Recommended Reading 備考1:日本政府の方針 Gartner Insights Abstract ...

Analyst(s):   Tadaaki Mataga
Premium Research Jan 2026
... Generic AI solutions cannot meet buyer needs in all their specificity and complexity. Only by developing industry alignment (horizontal, vertical, and industrial AI) can product leaders at AI and tech vendors build products and go-to-market strategies that fully meet client requirements. Insights at ...

Analyst(s):   Scot Kim   |   Will Rice   |   Peter Liu   |   Amresh Nandan   |   Jonathan Davenport   |   Gregor Petri   |   Pablo Arriandiaga
Premium Research Jun 2026
... AI was long perceived to fail due to poor data, but the real constraint was meeting the high expectations of large, initiative-driven deployments. As AI entry points shift to embedded capabilities, value now emerges through the work data teams perform. This shift changes how value is created, enabling ...

Analyst(s):   Lydia Ferguson
Premium Research May 2026
... AI has become an enterprise economic system. Without one role unifying demand, sourcing, cost and value, AI spend will fragment, risks will spike and ROI will collapse. CIOs must establish an AI value orchestrator now to ensure strategic governance and maximize AI investments. Insights at a Glance Strategic ...

Analyst(s):   Sundar Viswanathan   |   Hannah Decker   |   Stephen White
Research May 2026
... Access Insights Already a Gartner client? AI is transforming data management systems, knowledge management and knowledge engineering. Data and analytics leaders will gain productivity and agility in the short term, and in the long term the enablement of next generation data architectures, data fabrics ...

Analyst(s):   Stephen Emmott   |   Henry Cook   |   Roxane Edjlali   |   Michael Gonzales   |   Prasad Pore
Research Oct 2025
... However, software engineering leaders responsible for modernization initiatives can reduce time, effort, and risk compared to manual modernization using AI-augmented code modernization tools. Overview Strategic Planning Assumptions Introduction Description Benefits and Uses Risks Alternatives Recommendations ...

Analyst(s):   Prasanna Lakshmi Narasimha
Premium Research Sep 2026
... CEOs are betting on operating model redesign to unlock AI value and regain strategic freedom in an environment shaped by economic volatility, geopolitical uncertainty and AI-driven disruption. They are rethinking business functions, workforce design and even technology leadership itself. The result is ...

Analyst(s):   Brook Selassie   |   David Akers   |   Richard Eames   |   Jennifer Carter   |   David Furlonger   |   Gabriela Vogel
Research Feb 2026
... Access Insights Already a Gartner client? As AI use grows, so do concerns about risks and liabilities. Leaders responsible for AI must work with insurance decision makers to review policies for AI exclusions and consider adding affirmative AI insurance coverage to supplement existing risk management ...

Analyst(s):   Lauren Kornutick   |   Alissa Lugo   |   Kimberly Harris-Ferrante
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