Generative artificial intelligence technology is developing rapidly, but its large-scale application faces many challenges. Accenture CEO pointed out that insufficient data capabilities and lack of security controls are the main factors hindering enterprises from deploying generative AI. Nonetheless, Accenture itself has achieved significant economic benefits from its generative AI projects. This article will delve into the problems encountered by enterprises in generative AI applications and future development trends.
The CEO of consulting firm Accenture says most companies are hindered from large-scale deployment of generative AI by a lack of data capabilities or security controls. Nonetheless, Accenture saw significant revenue growth from its generative AI projects. Business executives are showing caution and are concerned about data protection and model accuracy. Generative AI technology is still in the experimental stage at most companies. This will limit the technology's expansion opportunities.
All in all, while generative AI has huge potential, data security and technology maturity remain key hurdles that enterprises need to overcome. In the future, with the advancement of technology and the improvement of security measures, generative AI will play a role in more fields and bring greater value to enterprises.