... Although generative AI is developing rapidly in China and the U.S., there are key differences in each country’s progress. Data and analytics leaders in multinational companies can use this infographic to compare generative AI capabilities in both markets. Overview Gartner Recommended Reading Gartner ...
Analyst(s): Tong Zhang | Mike Fang | Ben Yan
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... New differentiators — specific to AI infrastructure as a service — are emerging, distinct from traditional IaaS. Product managers at cloud service providers should leverage the differentiation approaches — inference optimization, composable AI supercomputing services and simplified experiences. Overview ...
... Reading Note 1: About This Research Note 2: Large CRM Vendors’ Agentic AI Offerings Note 3: How Will Agentic AI Transform CRM? Note 4: What Is an AI Agent Experience? Gartner Research ...
... 生成AIテクノロジ／テクニックの急速な進化は衰えることなく続いており、これらを巡るハイプも引き続き高まっているため、こうした激動の状況に対処することが困難になっている。テクノロジ・イノベーションのリーダーは、本ハイプ・サイクルを利用することで、AI戦略の実行に役立つイノベーションを特定できる。 Gartner Research ...
... Pragmatic Guide to Scoping and Delivering Generative AI Capabilities in Tech Product Offerings Design and create differentiated experiences with GenAI. Experts: Radu Miclaus, Jim Hare By 2026, more than 80% of independent software vendors will have embedded GenAI capabilities in their enterprise applications ...
... As AI-augmented development proliferates, developers are worried their roles may shift away from hands-on coding, reducing the need for deep programming skills. In this Steering Engineering Podcast episode, we discuss how to successfully adopt AI and promote a team culture that embraces change. Gartner ...
... resource capacity planning, hindering the ability to adapt to changing conditions. AI promises to minimize common effectiveness challenges. Strategic portfolio leaders must prepare their organizations now to exploit AI enablement for perpetual resource optimization. Session Description Learning Objectives ...
... Nearly all software engineering organizations offer AI tools to their developers, but adoption of and satisfaction with these tools is low. This research provides insights into areas of staff dissatisfaction with AI and offers proven practices to improve productivity. Overview Introduction Analysis ...
... AI is revolutionizing customer service, prompting leaders to find the best collaboration between human agents and technology. Customer service leaders can use this infographic to explore four future roles for agents and align human-AI capabilities with strategic goals. Overview Contributors Gartner Recommended ...
Analyst(s): Kathy Ross | Karan Anand | Jonathan Schmidt