AIIA：2023年企业采用生成式AI的隐性成本、挑战与总拥有成本：高期望与商业现实间的鸿沟研究报告-关键成本考量、投资基准、主要用例与定价指标洞察（英文版）（19页）.pdf

1、Copyright 2023 by ClearML.All rights reserved.|All trademarks are the properties of their respective owners.The Hidden Costs,Challenges,and Total Cost of Ownership of Generative AI Adoption in the EnterpriseRevealing the Profound Gap Between Hyper-inflated Expectations and Business RealityInsights i

2、nto critical cost considerations,investment benchmarks,key use cases,and pricing metricsPresented by in partnership withCopyright 2023 by ClearML.All rights reserved.|All trademarks are the properties of their respective owners.This global survey report is the second conducted by ClearML and the AI

3、Infrastructure Alliance(AIIA)in 2023 on the business adoption of Generative AI.Like our first report1,we surveyed 1,000 AI Leaders and C-level executives in charge of spearheading Generative AI initiatives within their organizations.Both survey reports shed light on the adoption,economic impact,and

4、significant challenges these professionals face in unleashing Generative AIs potential at scale.1-Our initial survey report,“Enterprise Generative AI Adoption:C-Level Key Considerations,Challenges,and Strategies for Unleashing AI at Scale,”can be downloaded here:https:/go.clear.ml/new-research-repor

5、t-on-enterprise-generative-ai-adoptionIn our last report,while the majority of respondents said they need to scale Generative AI,they also said they lacked the budget,resources,talent,time,and technology to do so.Given AIs force-multiplier effect on revenue,new product ideas,and functional optimizat

6、ion,its clear that critical resource allocation is needed for companies to effectively invest in AI to transform their organization.Key challenges in Generative AI adoption within the enterprise include:Managing overall running and variable costs at scale Having complete oversight and understanding