... in their data environments. This research provides insight into the use cases, data quality capabilities, and benefits and impacts of large language models on data quality practices. More Detail Gartner Research ...
Analyst(s): Jason Medd
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... teams” — are critical to success in digital transformation. Progressive CIOs foster rather than fight the rise of the distributed digital delivery model and maximize value by focusing on the human aspects of managing digital business risk. Gartner Insights Abstract ...
... where their organization stands in relation to its goals and take strategic steps to increase digital maturity. Gartner’s Digital Government Maturity Model provides CIOs with a framework for that purpose. Gartner Insights Abstract ...
... Organizations struggle with comprehensive discovery/onboarding of privileged accounts, increased friction in the PAM operating model and implementing a resilient PAM solution. Security and risk management technical professionals must address these challenges to improve widespread adoption of PAM. Overview ...
... in turn fuels the creation of a large ecosystem of solutions and providers. This guide explains to CIOs how to build successful technology business models that enable competitive advantage in this ecosystem. Gartner Insights Abstract ...
... Effective 2Q25, Gartner will include generative AI models as a new macromarket in the software market segmentation, alongside applications and infrastructure software. Technology and service providers can read this document for comprehensive information on publications. Planned Update to Gartner Market ...
... industrial AI strategies will need to augment LLMs with physics-aware, domain-specific models. Future competitive advantage will depend on creating a layered AI stack where LLMs enable orchestration and trained use cases, but models grounded in physical systems and engineering workflows will differentiate organizations ...
... Access Insights Already a Gartner client? Agentic AI will drive an I&O operating model shift over the next three to five years, but successful adoption will depend less on model intelligence and more on the readiness of operational data, automation pipelines, governance controls, team skills, org structures ...
Analyst(s): George Spafford | Cameron Haight | Jonathan Forest | Ashish Banerjee
... Access Insights Already a Gartner client? AI value erosion is often not due to technology or model failure, but rather cost creep. Leaders obsess over ROI but ignore the model pricing, the volatile “token” tax and the invisible usage spikes that inflate costs. Stop treating AI as a fixed cost and manage ...