... Access Insights Already a Gartner client? Gartner has identified C-level themes covering AI value and risk, AI agents, organization structure changes due to AI, sovereignty, and physical AI. Software engineering leaders use these themes to focus their decisions and actions as they deliver AI value in ...
Analyst(s): Brad Dayley
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.
... Access Insights Already a Gartner client? Tech CEOs must navigate the AI era, where the convergence of AI-driven potential and enterprise risk is absolute. Four of Gartner’s seven themes empower tech CEOs to navigate rapid change, mitigate hidden risks and capture value through 2027. Analysis Research H ...
... Access Insights Already a Gartner client? Employee anxiety is at an all-time high; AI and cost pressures are driving concerns about job security. Managers must play a critical role in mitigating this anxiety and helping employees navigate disruption by stabilizing and challenging teams to embrace role ...
... vendor leads the industrial AI market today. Product leaders who effectively orchestrate key capabilities across operational context, industrial execution, and ecosystem orchestration to deliver scalable business and operational outcomes will dominate high-value markets. Insights at a Glance Issue Impact ...
Analyst(s): Sruthi Nair | Jonathan Davenport | Lloyd Jones | Ricardo Chang
... enterprise vulnerability with growing liabilities. Traditional security solutions cannot address this risk, creating a multibillion-dollar opportunity for vendors to deliver robust AI usage control and governance solutions. Insights at a Glance Strategic Planning Assumptions Issue Impact Implications Gartner ...
... increasingly concentrated among sectors scaling AI infrastructure and transformation. Communications, media and services leads this expansion, setting the pace for the next wave of technology investment. Opportunity Overview Notable Changes Methodologies and Definitions Notes Gartner Recommended Reading Gartner ...
Analyst(s): Jonathan Davenport | James Ingham | Pankaj Verma | Jonathan Rivera | Jeff Casey | Rishi Sood | Gregor Petri | Nicole Foust | Marlena Brown | Inna Agamirzian | Peter Kjeldsen | Debbie Buckland | Simon Cushing | Hanna Karki | Shivani Palepu | Sruthi Nair | Marc Halpern | Scot Kim
... segmentation taxonomy, definitions and research metrics used in the market share and quarterly forecast statistics for PCs, tablets, and smartphones are detailed and updated in this report. What You Need to Know Introduction Notable Changes Market Methodology High-Level Definitions and Segmentation Gartner Recommended ...
... approaches and dimensions for structured data do not apply to unstructured data, which is leading to challenges among business stakeholders and technical professionals when building AI models. This note will define the parameters for unstructured data quality to provide a baseline for discussion and solution ...
... This guide will help security architects quickly familiarize themselves with modern data security terminology and concepts, as well as gain insight into emerging approaches for building a data-centric security strategy. Overview Analysis Recommendations Conclusion Gartner Recommended Reading Gartner ...