... As CHROs introduce AI and emerging technologies into their workforce, it is crucial to understand the extent of their employees’ trust in these technologies. CHROs and their teams can use this data to understand employees’ perceptions of AI’s trustworthiness and reliability. Directions for Use About ...
Analyst(s): Nini Longoria
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... Using AI successfully does not require “AI-ready” data. Product leaders must build agentic AI systems architected to accomplish work using imperfect, incomplete and disparate data, similar to how humans work, or else risk losing business and adoption to solutions that do. Overview Analysis Gartner Recommended ...
... Access Research Already a Gartner client? CIOs must develop resource plans for AI that integrate their existing vendors, new partners and internal development or customization. The Gartner AI Tech Sandwich framework provides a simple way of understanding this thinking. The downloadable workshop helps ...
... Access Research Already a Gartner client? Big AI deals and circular spend are inflating the AI bubble. If you are chasing AI factories, you are scaling risk, not value. Heads of I&O must pivot now: Prove measurable business outcomes before committing to infrastructure builds. Insights at a Glance Issue ...
Analyst(s): Nathan Hill | Chirag Dekate | Tony Harvey | Kumar Dhir | Alessandro Galimberti | Cameron Haight
... However, software engineering leaders responsible for modernization initiatives can reduce time, effort, and risk compared to manual modernization using AI-augmented code modernization tools. Overview Strategic Planning Assumptions Introduction Description Benefits and Uses Risks Alternatives Recommendations ...
... instinct to anthropomorphize forges intimate connections between GenAI, agentic AI and its users. CIOs must look at how these human-machine relationships are changing how their employees work, make decisions and connect with AI if they want to gain value from these solutions. Learn how in this research. ...
... Organizations adding AI to their vendor ecosystem must maintain a balance between centralized vendor authority and decentralized operational activity. CIOs and AI leaders must employ center-led sourcing, procurement, and vendor management to add flexibility and achieve the best outcomes. Overview Introduction ...
... Testing AI-based applications is a new challenge. Specifically, large-language-model-based applications show nondeterministic behavior unsuitable for traditional software testing. Software engineering leaders must introduce statistical methods and evaluations to their testing practices for AI-based applications ...
Analyst(s): Joachim Herschmann | C.A. Swan | Sushant Singhal
... In the wake of accelerated AI adoption, AI leaders find themselves lagging in governance. This research is a starting point, providing the blueprint for a lightweight organizational structure to deliver defensible and adaptable AI governance as well as defining key program stakeholders. Overview Introduction ...