... Organizations aiming to leverage generative AI have numerous deployment choices, including SaaS, PaaS, cloud APIs, IaaS and self-hosted, each with unique advantages and disadvantages. This research helps IT leaders make informed decisions to optimize their competing objectives of time to value, control ...
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... Access Insights Already a Gartner client? Software engineering leaders face rising complexity from faster delivery demands and growing AI toolchains. Use this research to understand how emerging technologies like agent development platforms are set to transform workflows, UI, system architectures, apps ...
... on emerging trends C-level leaders are under immense pressure to accelerate AI adoption without falling into the trap of overspending and underdelivering. This checklist is your essential decision discipline tool to stop the AI money burn and ensure every investment delivers lasting business value. Gartner ...
... This research provides a downloadable presentation that profiles the various roles featured in an AI core team to support enterprises in operating model and workforce planning. AI leaders can use this research to benchmark their teams’ skills and characteristics across geographies, company sizes and ...
... Access Research Already a Gartner client? The 2024 Gartner AI Mandates for the Enterprise Survey reveals that high-maturity organizations have achieved increased trust, improved effectiveness and optimized operations on their AI initiatives. CIOs and AI leaders should utilize the insights from this study to ...
Analyst(s): Anthony Mullen | Erick Brethenoux | Leinar Ramos | Birgi Tamersoy | Pieter den Hamer
... Access Research Already a Gartner client? AI software engineering agents are driving a shift from using interactive code assistants to systems capable of planning and executing tasks semiautonomously. Software engineering leaders who fail to prepare risk creating a costly, fragmented and harder-to-manage ...
Analyst(s): Manjunath Bhat | Nitish Tyagi | Shiva Varma | Philip Walsh | Adrian Leow
... DSML platforms provide capabilities that span the life cycle of AI models, including generative AI, bridging the gap from development to production. Data science, ML and AI leaders can use this research to help assess which platforms deliver AI solutions best fit for their enterprise’s needs. Overview What ...
... AI will lead to more job gains than losses, starting in 2028-2029. Thirty-two million jobs will be transformed each year, requiring upskilling or refactoring. AI leaders can use this forecast analysis to reflect on AI job impacts across broad industry types and anticipate and support these changes in ...
Analyst(s): Van Baker | Helen Poitevin | John Lovelock | Mary Mesaglio | Brandon Germer
... Access Research Already a Gartner client? Cybersecurity leaders responsible for GenAI development, security or operations must adapt their security practices. GenAI workflows must be secured in their six stages, consisting of data acquisition, models, generation, deployment, compliance monitoring and ...