... Access Insights Already a Gartner client? AI’s “cheap,” subsidized below-cost tool/platform pricing era will eventually end. Tech CEOs must act now or risk profit loss, vendor failures, and customer fallout as costs surge and the AI market consolidates. Tech providers that fail to plan will fall behind ...
Analyst(s): Don Ribar
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... correctly, AI can empower software engineering teams to reach new levels of productivity. Chief product officers can use this research collection to keep engineering teams integral to the enterprise in today’s volatile and complex development environment and to prepare them to smartly utilize AI tools. ...
... A popular question we receive about AI agents is how to effectively integrate them with existing applications. Is Model Context Protocol the solution from vendors, or is MCP another hastily developed technology, only to be potentially abandoned when the next buzzworthy protocol emerges? More Detail ...
Analyst(s): Patrick Connaughton | Justin Tung | Saikat Ray | Keith Guttridge
... Agentic AI has significant potential to improve healthcare through real-time decision making and orchestrating critical workflows and patient journeys. This research shows how, when combined with other technologies, it can transform hospital operations into a real-time health system within five years ...
Analyst(s): Barry Runyon | Gregg Pessin | Mike Jones
... The rise of agentic AI with its autonomous nature creates unprecedented privacy and trust challenges for CX and fear of reputational damage. Applications leaders in charge of CX can use this research to address these concerns ethically, without compromising customer privacy and trust. More Detail Gartner ...
... Unlike threat intelligence and DRP, narrative intelligence offers a proactive edge against advanced, AI-driven threats. Product leaders should use this research to grasp narrative intelligence’s strategic advantage and pivot the functionality of their products from reactive to preemptive. Overview Strategic ...
Analyst(s): Alfredo Ramirez IV | David Senf | Apeksha Kaushik
... unit economics, and governance across traditional, generative, agentic, and AGI-adjacent AI. AI unicorns are rare, emergent, and often recognized only in hindsight. This framework helps investors spot the signals of AI unicorn potential. Strategic Planning Assumptions Analysis Gartner Recommended Reading ...
... opening the door to risks from hallucinated responses. This note outlines four maturity levels, each representing a common technique used to measure AI accuracy, helping leaders balance speed, cost and risk. Overview Introduction Analysis Gartner Recommended Reading Gartner Research ...
... increase marketing’s accountability over brand strategy in the next three to five years. Brand leaders can use this research to understand how to leverage AI to simplify their data collection process, enhance competitive analysis and efficiently draft a brand strategy. Overview Introduction Analysis Gartner ...