Recently, Deloitte released a report pointing out that companies face many challenges when converting the experimental results of generative artificial intelligence (Gen AI) into practical applications. The report reveals the bottlenecks encountered by enterprises when deploying generative AI at scale, including technical infrastructure, insufficient team capabilities, and a lack of clear application strategies. Many enterprises have also encountered obstacles in resource allocation, data quality and compliance, affecting the promotion and application of generative AI projects. The report also highlights the huge potential of generative AI and provides companies with suggestions to overcome these challenges, including strengthening strategic planning and increasing employee training investment.
At a recent forum in Davos, Deloitte released a report revealing the difficulties companies face when transforming generative artificial intelligence (Gen AI) experiments into practical applications. Although enterprises have achieved positive initial results in generative AI projects, there are still many obstacles in large-scale deployment.
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According to the report, many companies found that the transformation process from the lab to the production environment is not easy when implementing generative AI. Especially in terms of technical infrastructure and team capabilities, many companies face the challenge of inadaptive adaptability. In addition, companies often lack clear strategies on how to apply AI to specific business scenarios, which makes it difficult for their AI projects to sustain and scale.
In the report, Deloitte highlights the potential of generative AI, including advantages in improving operational efficiency and enhancing customer experience. However, in reality, many enterprises have encountered bottlenecks in issues such as resource allocation, data quality and compliance, which seriously affect the promotion and application of generative AI projects.
Deloitte's survey also pointed out that companies also have difficulties in recruiting talents and improving their skills. With the rapid development of technology, existing employees often find it difficult to keep up with the changes in new technologies, which leads to a lack of confidence in the application of generative AI. In addition, enterprises also need to make adjustments in their cultural and organizational structure to better support the implementation of AI.
To help companies overcome these obstacles, Deloitte recommends that companies should strengthen strategic planning for generative AI, clarify project goals and implementation steps. At the same time, we should also increase investment in employee training to improve the team's technical capabilities and application level. Only in this way can enterprises make full use of the advantages of generative AI in an increasingly competitive market to achieve the goal of digital transformation.
Points:
Enterprises face many challenges when converting generative AI experiments into production applications.
Resource allocation, data quality and compliance are the main bottlenecks in enterprises' promotion of AI projects.
Improving employees’ technical capabilities and strategic planning are key to the successful implementation of generative AI.
In short, Deloitte's report clearly points out the challenges and opportunities faced by enterprises in the process of applying generative AI. Enterprises need to actively respond to these challenges in order to fully realize the potential of generative AI, promote digital transformation, and maintain a leading position in a highly competitive market. In the future, more targeted strategies and more effective implementation solutions will be the key to the successful application of generative AI by enterprises.