... Access Research Already a Gartner client? On 2 April 2025, the U.S. federal government declared a national economic emergency, imposing significant tariffs on imports from major trading partners to reshape trade dynamics. Learn how CFOs are responding, and use Gartner’s suggested strategic actions to ...
Analyst(s): Paul Quinn | Dennis Gannon | Vaughan Archer | Alexander Bant
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... enterprise capability over the coming decade, as today’s agents evolve and improve. Product leaders must plan for continued disruption by designing R&D roadmaps that prioritize the development of key capabilities for upcoming advanced and expert AI agents. Overview Strategic Planning Assumptions Analysis ...
Analyst(s): Alfredo Ramirez IV | Eric Goodness | Danielle Casey | Aakanksha Bansal | Anushree Verma | George Brocklehurst | Akhil Singh | Annette Jump
... Capacity and Resource Management Adaptive Hybrid Methodology Support Collaborative and Social Networking Project and Work Effort Management Reporting and Analytics Demand Management Reporting to the Portfolio Security and User Management Integration Usability IT Project and Work Management Collaborative PPM ...
Analyst(s): Jennifer Jackson | Peter Clegg | Zainab Ali | Woojin Choi
... model and its corresponding organizational model. It is important to understand their differences and the reasons for differentiating them, so that the D&A function can effectively plan to deliver better business value. More Detail Gartner Recommended Reading Gartner Research ...
Analyst(s): Jorg Heizenberg | Saul Judah | Alan D. Duncan | Michael Gabbard
... AI-ready data cannot be achieved through one-time data preparation. D&A leaders should shift from traditional data management to a continuous, use-case-driven practice that aligns, qualifies and governs data throughout the AI life cycle. AI-ready data forms the foundation for agentic AI and continues ...
Analyst(s): Roxane Edjlali | Mark Beyer | Ehtisham Zaidi | Svetlana Sicular
... Despite major R&D investments and market hype, many B2B tech providers are not realizing expected revenue and adoption of their generative AI offerings. Product marketing leaders must ensure their teams can quantify GenAI value, optimize pricing and enable adoption to drive revenue growth. Data Snapshot ...
... median investments in emerging tech in the last two years. Product leaders must optimize investments in emerging tech to stay competitive by stepping up R&D talent development, evaluating co-development approaches and differentiating with domain AI. Strategic Planning Assumptions Analysis Research Highlights ...
... Corporate venture capital investors now dominate AI innovation funding, threatening the relevance of in-house R&D operations and upending traditional VC funding models. To raise the venture capital required to succeed in the AI race, product leaders must adapt how they approach fundraising to prioritize ...
Analyst(s): Raymond Paquet | Annemarie Roussel | Mark Wesker