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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
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Premium Research May 2026
... Anthropic’s PE-backed JV signals a shift from model APIs to embedded AI deployment. Value is moving to integration, workflows, and services, creating sticky enterprise revenue. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Kumar Dhir
Premium Research May 2026
... Seven AI disruptions are transforming the operating environment for technology and business operations. Product leaders should benchmark their organization’s exposure to these disruptors in order to remain competitive today and protect against future obsolescence. Overview Recommended Actions Gartner ...

Analyst(s):   Nick Ingelbrecht   |   Roberta Cozza   |   Dave Aron   |   Laura Heath   |   Tuong Nguyen   |   Annette Jump   |   Annette Zimmermann   |   Vibha Chitkara   |   Danielle Casey
Premium Research Jun 2026
... 日本において、「CEO AI」「AI社長」「社長AI」といったキーワードで語られる領域への関心が高まりつつある。CIOは、このテーマに関する基本的な認識を獲得し、そのリアリティや実現可能性、経営への影響を評価した上で、CEOを含む経営層に説明するとともに、自社としての対応方針や戦略的な方向性を提示できるよう備えておく必要がある。 インサイトの要約 戦略的プランニングの仮説事項 論点 インパクト 影響 根拠 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Tadaaki Mataga
Premium Research Jun 2026
... U.S. federal AI buying has split into distinct demand segments with different coalitions, compliance gates, and acquisition pathways. Product leaders must align portfolio positioning, compliance, coalition engagement, and demo readiness to win. Insights at a Glance Issue Impact More Detail Gartner Recommended ...

Analyst(s):   Daniel Snyder   |   George Sellner
Research Jun 2026
... align their portfolios and roadmaps with the evolving global dynamics, including a shift toward techno-nationalism and incorporating emerging physical AI technologies into everything. Overview Analysis Conclusion Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Bill Ray
Premium Research Jun 2026
... AIベンダーはAIをスケールさせて本格運用するための戦略的施策としてフォワード・デプロイド・エンジニアリングを強化している。AIリーダーは、フォワード・デプロイド・エンジニアリングの長所と短所を理解し、その長期的な影響を分析し、このトレンドに対処できるようにする必要がある。 インサイトの要約 論点の背景 インパクトの概要 詳細 根拠 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Tadaaki Mataga
Research May 2026
... Infineon’s comprehensive product portfolio, manufacturing capabilities and early investment in advanced technologies make it the company to beat in AI data center power semiconductors. Competitors can close the gap by expanding partnerships, entering the 800VDC ecosystem and developing forward-looking ...

Analyst(s):   Menglin Cao   |   Rajeev Rajput
Research Jun 2026
... end-to-end exposure across DSP-based pluggables, analog optical components, emerging LRO platforms and plans for scale-up NPO makes it the front-runner in the AI data center optical connectivity race. Competitors must target integration or deliver differentiated architectures to close the gap. Overview Analysis ...

Analyst(s):   Naresh Singh   |   Guy Robertson
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