... Access Research Already a Gartner client? Enterprises often seek service providers’ support when implementing generative AI. In such cases, sourcing, procurement and vendor management leaders can use this research to play an active role in goal setting, assess the provider’s risk awareness and establish ...
Analyst(s): Tsuyoshi Ebina | Gunjan Gupta
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... As AI workloads deploy on the edge, organizations can choose from on-device, local edge, cloud-trained edge and federated deployment approaches. This research enables infrastructure architects to select the best option for their use case by evaluating the strengths and weaknesses of each approach. Overview ...
... Power consumption and energy efficiency is a critical challenge for product leaders enabling generative AI applications. They must leverage innovations in architectural design, chip packaging and chip geometry to make informed decisions and outperform competition. Overview Analysis Gartner Recommended ...
Analyst(s): Joseph Unsworth | Akhil Singh | Gaurav Gupta | Menglin Cao | Alan Priestley
... features perspectives from 28 Gartner Research Board for Global CIOs members regarding their deployment strategies and experiences with using Generative AI (GenAI) agents. The summary examines members’ position on using these agents for internal and customer-facing purposes as well as for supplier interactions ...
... Gartner First Takes Fresh insights on emerging trends AI and GenAI innovations present opportunities to disrupt and thrive in the crowded DSAI platform market. Product managers can best navigate the risks and opportunities in this market if they prioritize underserved customer needs and differentiated ...
... Gartner First Takes Fresh insights on emerging trends This comparison plots 13 of the most prominent use cases for generative AI in government contact centers against value and feasibility. CIOs responsible for a government call or contact center can use this to start strategic conversations to guide ...
... Having data that is not AI-ready increases the likelihood of AI initiatives failing. To address this issue, data and analytics leaders should follow these five steps aligned with modern data management technologies and practices. Overview Strategic Planning Assumptions Introduction Analysis Gartner Recommended ...
Analyst(s): Mark Beyer | Melody Chien | Ehtisham Zaidi
... CIOs should use this research to identify some of the critical AI and D&A technology use cases impacting their industry. Data Snapshot Data Insights What You Need to Do What You Need to Know Gartner Recommended Reading Note 1: Approach to AI Implementation Gartner Research ...
... Increasing demand for training AI from large language models will accelerate new generations of high-bandwidth memory. Product leaders must align their AI processor roadmaps with the availability of HBM in the near term and generational HBM advances in the long term to remain competitive. Overview Analysis ...