... AI is poised to transform R&D portfolio management as we know it. This brief explores three models of AI enablement in R&D portfolio management, from enhanced analytics to autonomous portfolio management, and guides R&D leaders on how to assess which model is most appropriate for their organization. ...
Analyst(s): Tom Jepsen | Lauren Maiya | Charlotte Boliver
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... I&O outcome-driven metrics can open investment conversations that raw operational data cannot. Heads of infrastructure and operations need to know when to use them, to what extent, and how they work along related frameworks. Insights at a Glance Issue Impact More Detail Contributors Gartner Recommended Re ...
Analyst(s): Ron Blair | Aparna Bhaumik | Sanchi Bhat
... Access Insights Already a Gartner client? When supplier availability changes without notice, preparation is the baseline and testing is what differentiates false confidence from true resilience. CPOs must prepare by ensuring detailed resiliency planning and comprehensive testing that evaluates how org ...
... Access Insights Already a Gartner client? AI is reshaping the PC landscape, making memory — not processors — the primary critical enabler of persistent, intelligent workloads. As agentic AI drives demand for context and local processing, memory bandwidth and architecture have become the primary constraints ...
Analyst(s): Shrish Pant | Ranjit Atwal | Joseph Unsworth
... Access Insights Already a Gartner client? Native visual reasoning is emerging as a complement to language reasoning, which will offer differentiation in spatial, structural and physical problem solving. Product leaders must identify high-value workflows and prepare modular architectures for visual rea ...
... Most CIOs are not pursuing a single AI ambition across IT. Use our data from 300 CIOs to see where peers are going AI-first, opportunistic or cautious,and what drives their decisions, and to guide your own AI ambitions and investments. Insights at a Glance Issue Impact More Detail Contributors Gartner ...
... While market hype is focused on generative AI, many ERP use cases are fundamentally prediction, classification, optimization, and automation problems rather than content-generation problems. Nongenerative AI remains a proven foundation for ERP and should be evaluated alongside generative AI as part ...
Analyst(s): Ann Paul | Neha Ralhan | Johan Jartelius
... AI and data sovereignty are emerging as critical priorities for executives, impacting growth strategies, technology investments, and vendor selection. CIOs must actively assess their core vendors for their ability to meet sovereignty needs and regional regulations without compromising on ambition and ...
Analyst(s): Andrew Meyer | Shivani Munjral | Saru Mehta