The report shared today is: Generative AI 2024***
Featured Report**: Industry Report Think Tank Summary: In 2024, companies are turning their attention to generative AI technology as they hope to leverage this emerging force to achieve future breakthroughs in business. However, contrary to expectations, while the interest and investment in generative AI are rising, the actual implementation progress is not satisfactory.
The report shows that enterprise spending on generative AI is growing rapidly, but high expectations have not led to corresponding progress. Factors such as the accuracy of model generation results, the scarcity of talent skills, and the cost of deployment all restrict the large-scale application of generative AI in enterprises. According to the data, only 24% of companies have already started investing in generative AI and have a budget plan, while nearly 70% have not yet developed a spending plan or piloted it.
The implementation of generative AI involves multiple steps from the basic model to the application deployment, and various market participants face their own challenges in the process. Large model providers need to deal with complex and time-consuming data preparation and high computing costs, while generative AI application developers need to choose suitable models, integrate data in different formats, and protect user privacy and content security. Generative AI application users need to address issues such as data security and content accuracy.
The successful implementation of generative AI in enterprise scenarios requires the support of five key elements, including cost-effective infrastructure, flexible model selection, differentiated customization, application-driven, and responsible AI strategy. According to the survey, cloud service providers have become the first choice for enterprise users to choose generative AI strategic partners, because they can help users quickly use the latest model capabilities and lower the barrier to infrastructure construction.
The report offers recommendations for starting the journey of generative AI on the cloud today, emphasizing the integration of generative AI into enterprise-level strategies and leveraging the differentiated advantages of enterprises through model customization. Typical use cases focus on enhancing the customer experience, increasing employee productivity and creativity, and optimizing business processes. The process of building generative AI applications end-to-end requires selecting the appropriate model, integrating validated models, and continuously iterating.
Excerpts from the report are set out below.