... overbuild AI before proving value, locking in variable costs they can’t forecast by overpaying for unnecessary workflow intelligence. Token economics, model volatility, and weak control erode margins, turning pilots into P&L problems before benefits show up, leaving technology CEOs to explain why. Insights ...
Analyst(s): Sabine Zimmerhansl
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.
... exponential ARR-to-employee ratio. This shift requires organizations to fundamentally change how they build and scale their business and operating models. Why This Matters Blind Spots What’s Around the Corner Questions You Should Be Asking Gartner’s Positions Your Journey as a Tech CEO Gartner Insights ...
... demand for AI and cybersecurity services. Growth is increasingly shaped by a shift from task-based engagements toward value-driven and outcome-based models. Insights at a Glance Market Opportunity Key Trends Methodologies & Definitions Gartner Recommended Reading Notes Gartner Insights Abstract ...
... increasing, yet agile and AI-infused custom software development projects frequently face delays, unmanaged technical debt, and misaligned pricing models. To mitigate these risks, sourcing, procurement and vendor management leaders should use this checklist when contracting for agile delivery and AI ...
Analyst(s): Jaideep Thyagarajan | Luis Pinto | Nathan Davie | Ryan McKinney | Biswajit Maity | Shubham Rathore
... and skills lag ambition. Gaps in readiness, scalability and execution limit impact. CIOs can use these insights to prioritize platforms and operating models that enable safe, scalable and valuable AI. Insights at a Glance Issue Impact More Detail Contributors Gartner Recommended Reading Gartner Insights ...
... Agentic AI in infrastructure and operations will fail unless leaders mitigate the critical pitfalls inherent in a hybrid human-machine operating model. Heads of I&O must apply strategic I&O agentic AI risk mitigation plans to ensure success and capture productivity gains. Insights at a Glance Strategic ...
... client? AI middleware is a broad category of software products that work together to provide an architectural layer that sits between applications, AI models or agents, and enterprise data, standardizing security, connectivity, orchestration, governance, and operations to manage AI safely at scale. Overview ...
Analyst(s): Andrew Humphreys | Keith Guttridge | Nicholas Carter
... Technology services leaders are challenged with doing more with less. Buyers expect them to increase workforce productivity and revamp workforce models for speed and effectiveness. Building high-impact tiny product teams of FDEs and AI-enabled talent will help drive exceptional results. Insights at a ...
... the line between HR and IT, creating new capabilities at the tech-talent intersection that neither function can own alone. CHROs must establish a new model of shared ownership with the CIO to embed AI agents, design the human-machine workplace and accelerate AI value. Insights at a Glance Strategic Planning ...