1、Deloittes State of Generative AI in the Enterprise Quarter three reportAugust 2024Now decides next:Moving from potential to 2ForewordIntroductionNow:Key findings1 Building on initial success2 Striving to scale3 Modernizing data foundations4 Mitigating risks and preparing for regulation5 Maintaining

2、momentum by measuring valueNext:Looking aheadAuthorship&AcknowledgmentsAbout the Deloitte AI Institute About the Deloitte Center for Integrated Research About the Deloitte Center for Technology,Media&TelecommunicationsMethodologyTable of contentsIn the rapidly evolving landscape of artificial intell

3、igence(AI),the connection between technology and value has become increasingly apparent.What is known about major technology innovations in the past holds true with Generative AI(GenAI).Technology application on its own is not enough.Results and business outcomes matter.The real measure of success f

4、or GenAI will be how it enables enterprise strategies and drives tangible value.As organizations are scaling,and learning from,their GenAI pilots,I have heard the discourse around GenAI shift from unbridled excitement to a more nuanced and critical evaluation of its real impact on business outcomes.

5、I am also beginning to see organizations think more about tailored GenAI toolsevolving from large language models(LLMs)to small language models(SLMs)for more targeted needs.They are also exploring how the rise of AI agents can redefine interactions within their digital environments,offering new aven

6、ues for automation and personalization.Amid this maturation,regulatory considerations are coming to the fore.Our past survey results indicated a strong market appetite for smart GenAI regulation and oversight.Businesses and governments alike are navigating a dynamic landscape and are struggling to k