This article analyzes the current status and challenges of generative artificial intelligence in enterprise applications. The survey shows that many companies have insufficient demand assessment for generative AI, which will directly affect its deployment and application effects. Executives have high expectations for the future of generative AI, hoping that it will bring about disruptive changes in all walks of life. However, achieving this goal is not easy. Enterprises need to overcome many challenges, such as insufficient IT infrastructure, to truly realize the potential of generative AI and apply it to actual business scenarios.
Surveys show that most businesses underestimate the need to adopt generative AI, which can lead to difficulties during deployment. Executives expect generative AI to disrupt industries on a massive scale across a variety of sectors, but companies need to address issues such as IT shortcomings to realize their ambitions for generative AI.
All in all, the application prospects of generative artificial intelligence are broad, but enterprises need to fully understand the potential challenges during the deployment process and develop corresponding strategies to deal with them. Only by being fully prepared can we maximize the value of generative AI, ultimately achieve its widespread application in various fields, and promote industrial upgrading and transformation. In the future, enterprises will need to invest more resources in IT infrastructure, talent training, and risk management to ensure the smooth implementation and effective application of generative AI.