... Perceptions of artificial intelligence have shifted from killer robots to algorithm-based intelligent apps that link our physical and digital lives in previously unimaginable ways. Enterprise architecture and technology innovation leaders must devise innovative strategies to harness this technology. ...
Analyst(s): Mike Walker | Owen Chen
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... physical world with greater accuracy and safety to execute complex tasks. Product leaders must rethink current artificial intelligence approaches to accelerate the emergence and adoption of physical AI. Overview Strategic Planning Assumption Introduction Description Benefits and Uses Risks Recommendations ...
... Access Insights Already a Gartner client? The use of artificial intelligence techniques in data centers, edge computing and endpoint devices has created a market for optimized semiconductor devices. Revenue from these AI semiconductors is forecast to be $72. billion by 2025, growing by a five-year CAGR ...
... Access Insights Already a Gartner client? The use of artificial intelligence techniques in data centers, edge computing and endpoint devices has created a market for optimized semiconductor devices. Revenue from these AI semiconductors is forecast to be $71.1 billion by 2025, growing by a five-year CAGR ...
... Insights Already a Gartner client? Generative artificial intelligence will improve digital products’ quality, performance and accessibility, while reducing time to market. To gain these competitive advantages, software engineering leaders should introduce generative AI now by enacting changes to people, processes ...
Analyst(s): Brent Stewart | Van Baker | Joachim Herschmann
... Despite massive investments in generative artificial intelligence capabilities, many technology providers are grappling with minimal uptake from customers. To drive adoption, product managers should prioritize user experience, use analytics to substantiate value and find new ways to attract users. Overview ...
... summary features perspectives from 12 Data and Analytics Research Board members regarding their enterprise’s role in sponsoring and executing artificial intelligence (AI) and large language models (LLM) responsibilities. It also discusses the structure of managing LLMs throughout their lifecycle and the metrics ...
... a Gartner client? Survey results show increasing use of artificial intelligence and machine learning models in applications, but developers are just beginning to acquire ML skills. Software engineering leaders should plan for increasing use of AI and ML models, and encourage their developers to learn ...
... strategic partnerships or tactical agreements with their LLM providers, fine-tuning custom models, and exploring frameworks for agent-driven artificial intelligence (AI) systems. Overview Summary of Results Survey Results Detail Gartner Research ...