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Capgemini – Turochanging Software with GenAI

Summary
Organizations are benefiting from using generative AI for software engineering by enabling more innovative work, improving software quality, and increasing productivity. The productivity gains are highest for specialized tasks like coding assistance and creating documentation. Despite its early stage of adoption, generative AI is expected to accelerate sharply, with large organizations taking the lead. However, there are risks associated with unauthorized usage of generative AI tools, such as functional, security, and legal risks. To fully harness the potential of generative AI for software engineering, organizations should prioritize high benefit use cases, mitigate risks, transform their software organization, and prepare for generative AI use by delivering necessary technology prerequisites. It is essential to put people at the center of this transformation by creating a learning culture, providing upskilling opportunities, and addressing employees' work displacement concerns.
Region: Global 
Published: July 2024 
Author(s): Capgemini 
Language: English 
Tech drivers: AI Cybersecurity and privacy 
Social drivers: Sustainability and ethics 
Geopolitical drivers: Regulatory changes Workforce availability 
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