... Already a Gartner client? Generative and agentic AI are reshaping product management. AI-native disruptors are winning business by prioritizing learning velocity over feature delivery. Chief product officers who do not rewire their AI product life cycle to compete against AI-native vendors will fail amid ...
Analyst(s): Omar Ansari | Jim Hare | Clifton Gilley
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... Tech CEOs can strategically leverage generative AI by focusing on three key market categories: foundation models, applications and enabling tools. Assessing these categories helps identify the best fit for your business to drive innovation and growth. Overview Analysis Background and Context Gartner ...
... Already a Gartner client? The distinction between UX design and software engineering is increasingly blurring as AI-augmented tools enable unprecedented collaboration. The innovations profiled in this report enable software engineering leaders to embed design throughout the SDLC and to support co-creation ...
Analyst(s): Sarah Baumunk | Manjunath Bhat | Paige Kirk | Jim Scheibmeir
... Consumer goods organizations are quickly moving to adopt generative AI marketing tools. However, many CMOs struggle to identify constructive use cases for GenAI capabilities. This research helps CMOs navigate the feasibility, benefits and risks of adopting GenAI tools for their organization. Overview ...
... rise of cloud computing and generative AI, and the vast quantities of water needed to cool the hardware associated with these new technologies, are changing how we consume this vital resource. IT leaders must build a resilient water strategy into their core business and AI sourcing if they want to thrive ...
... Generative AI will be used to differentiate data management products from now on. Product managers must use GenAI to improve augmented and self-service data management and enable retrieval-augmented generation, while alleviating concerns around security, data/model accuracy and cost. Overview Analysis ...
... Access Research Already a Gartner client? Enterprise architecture teams face growing demand to support generative AI initiatives, necessitating new skills and competencies. This research outlines how heads of enterprise architecture and their teams can develop architecture competencies to meet GenAI- ...
Analyst(s): Philip Allega | Andrei Razvan Sachelarescu
... Generative AI enables fresh opportunities to address the challenges of self-service analytics. Analytics and business intelligence leaders can use this research to transform how users collaborate, create and consume analytics content to deliver data-driven decision making at scale with GenAI. Overview ...
... Many I&O leaders hesitate to adopt generative AI for the service desk because their ITSM data is incomplete, inconsistent or inaccurate. Learn how Sentara still leveraged retrieval-augmented generation to enable goals set by the CIO, reduce incidents, and improve self-service and productivity. Case Overview ...