... Access Insights Already a Gartner client? The industrialization of AI represents a structural pivot where intelligence moves from a “human-crafted” experimental tool to a secured, mass-produced utility, effectively collapsing traditional cybersecurity business models. This shift will not only break the ...
Analyst(s): Jorge Lopez
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... In most cases, organizations fail to include evaluations in the design of their GenAI solutions, making it impossible to measure reliability once AI solutions transition into production. AI architects and data scientists should use this note to successfully design and implement GenAI evaluations. Overview ...
... Cost is one of the greatest near-term threats to AI and generative AI success. More than half of organizations abandon their efforts due to cost related missteps. AI leaders can use this toolkit to analyze and communicate the most critical variables of cost and risk across options. When to Use Directions ...
... In a market that glorifies companies that deploy “AI agents” and “agentic AI,” the terms are now overused. But what is this technology, really? This research explains what AI agents and agentic AI are, what differentiates them from other technologies, and how they may impact the future of service and ...
... Consult the Board survey summary features inputs from 15 Gartner Research Board for Global CIOs members on aspects of adoption and implementation of AIin contact centers, such as approaches to front-end customer interactions, success metrics, tangible returns, and challenges faced. Overview Summary of ...
... criteria and business outcomes •Identify high-impact investments across AI, analytics, talent and operations As Communications budgets face scrutiny and transformation mandates, traditional approaches to planning are no longer sufficient. In this session, we will share the new Gartner Communications Cut-Protect-Invest ...
... The AI model race continues to accelerate as the frontier model providers are increasing their release velocity and converging in their innovation strategy. AI leaders should ride this innovation curve while building a robust strategy for future-proofing their AI investments. Insights at a Glance Issue ...
... Gartner client? Unlocking spatial AI’s value requires investing in tech that fuses spatial-temporal context, causal reasoning, and physics. Product leaders must adopt new technologies such as AI-assisted digital twin development and active inference to safeguard future AI value. Overview Strategic Planning ...