... Insights Already a Gartner client? Selecting industrial AIoT platforms mainly by capabilities is not enough to identify issues that may lead to operational data loss and costly deployment rework. Instead, CIOs should use the Five Evidence Gates to choose the least complex viable design and prove it can operate ...
Analyst(s): Henry Costa
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.
... negotiations while weakening tomorrow’s leverage. Learn how to anticipate cost changes, negotiate adaptable contracts, and maintain control over costs, data and vendor relationships. Why This Matters Blind Spots What’s Around the Corner Questions You Should Be Asking Gartner’s Positions Your Journey as a ...
Analyst(s): Stephanie Stoudt-Hansen | Yanni Karalis
... Access Insights Already a Gartner client? Unstructured data requires purpose-built file or object storage systems for optimal performance and scalability, especially for AI storage workloads. Heads of I&O should use this Market Overview to evaluate file system, object or unified storage solutions, and ...
... risk assumptions and key organizational decisions. Focus on two main areas: increasing federal-state regulatory divergence, particularly around AI and data centers, and evolving geopolitical dynamics affecting supply chains, energy prices, sanctions, and market access. Analysis Gartner Recommended Reading ...
... generative AI for data and analytics, but many struggle to scale AI without increasing cost, inconsistency and decision risk. This explainer examines why improving prompts or adopting stronger models is insufficient and how AI agent skills provide a more scalable foundation for data and analytics. Insights ...
... IT and OT teams are moving toward organizational alignment to support data and process integration but face cultural and technological gaps, differing security mechanisms, protocol interoperability issues and data contextualization challenges. This research helps infrastructure architects overcome these ...
Analyst(s): Avinash Dev Nagumanthri | Sumit Rajput | Kristian Steenstrup
... AI agents enable the evolution of the data-to-insight workflow from augmented analytics to agentic analytics. However, indiscriminately applying AI agents across all workflow stages is a serious mistake. Data scientists must use this note to determine when and how to effectively apply AI agents. Overview ...
... Chief compliance and ethics officers face rising expectations to demonstrate effective, data-informed risk management, yet many remain limited to retrospective, siloed reporting. This document introduces a five-level data and analytics maturity model that shows how compliance can evolve from reactive reporting ...
... preview personal AI assistant that allows users to plan and execute multistep workflows using business applications and data. Cybersecurity leaders must address the excessive data access, manipulation and exfiltration risks of Cowork for use in enterprise endpoints before broad user adoption. Insights ...
Analyst(s): Dan Wilson | Daniel Ballard | Peter Firstbrook | John Watts