凯捷（Capgemini）：2025从构想到实践：生成式AI在汽车软件行业的应用现状调研报告（英文版）（14页）.pdf

1、Everything you wished for?1Everything you wished for?Has Gen AI for software lived up to the hype in automotive?Everything you wished for?2When Gen AI first caught the eye of software developers,the predictions were wild.Now a couple of years out we can start to parse fact from fantasy.Our recent su

2、rvey details the way Gen AI is actually being used in software today,and the profound implications across all sectors.On November 30th,2022,Open AI opened the floodgates.Just two months out,100 million users were using their new Chat GPT app,making it the fastest growing user base of all time.In our

3、 discussions with automotive leaders,the mix of excitement and caution,fascination and fear,and intense curiosity its like nothing weve seen.Around the world,some of the most common questions weveheard from automotive employees include:Will Gen AI solve the scarcity of software development talent?an

4、d how will it evolve my role?Will Gen AI improve coding quality?or will it lead to unverifiable,untraceable errors?in fact,in light of regulatory requirements for traceability,can Gen AI be used for code creation at all?How are software developers using Gen AI?What are the risks?Above all,how can OE

5、Ms capitalize on this trend?To find answers,The Capgemini Research Institute recentlyinterviewed 1,000 senior executives and 1,000 software professionals from organizations with over$1 billion in annual revenue.The results paint a picture of an industry in the first stages of a profound change.Every

6、thing you wished for?3Breaking down Gen AIGenerative AI(Gen AI)encompasses various types of models designed to create content,ranging from text and images to music and code.Visual output is created by a type of Gen AI known as Generative Adversarial Networks(GANs).These consist of two neural network