Gartner: 55% of organizations are trialling generative AI such as ChatGPT

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On October 4, Gartner, a world-renowned information consulting and survey organization, published survey data on its official website. 55% of organizations are using or experimenting with generative AI; more than half of the organizations have increased their interest in generative AI in the past 10 months. AI investing.

This time, Gartner surveyed a total of 1,419 business executives/leaders. 45% said they were in the trial period of generative AI and 10% had already put it into use in actual business.

This is a significant increase compared with Gartner’s generative AI application survey data in March this year (15% trial, 4% already applied), which shows that enterprises are actively trying to implement scenario-based applications of generative AI.

What is generative AI

Generative AI is a method based on deep learning and neural networks, such as generative adversarial networks and variational autoencoders, combined with massive data pre-training and fine-tuning, to automatically generate codes, pictures, texts, Video, audio, games, etc.

Generative AI works by learning from large amounts of data, understanding its underlying patterns and structures, and then creating new, similar but not identical data based on this understanding. For example, given 10 papers, generative AI can write an entirely new paper based on the data.

Generative AI products, represented by ChatGPT, Midjourney, Bard, Claude, and Stable Diffusion, benefit from simple and easy-to-use text dialogue methods, which have a profound impact on global industry, employment, and economy, and are reshaping business processes and operating models. .

Mainstream industries including finance, art and creativity, education, law, healthcare, e-commerce, transportation, IT, etc. have all been affected by generative AI and accelerated the application of automation.

For example, in the manufacturing industry, generative AI can be used to design new products and generate optimized design solutions through algorithms to improve production efficiency;

In the media and entertainment industry, generative AI can create new music, artwork, and even scripts to provide inspiration for creative workers.

Executives believe: The benefits of generative AI outweigh the risks

78% of executives believe the benefits of generative AI outweigh its risks. The previous Gartner survey data was 68%.

Frances Karamouzis, Gartner Distinguished Vice President Analyst, said executives are taking a bolder stance on generative AI because they see the far-reaching ways it can drive innovation, optimization and disrupt business. Leaders understand that a wait-and-see approach without taking any action will be riskier than investing in generative AI.

From the perspective of industry attributes, 45% of companies are expanding generative AI investments across multiple business functions, of which 22% are expanding across more than three different functions. Software development is the function with the highest adoption or investment rate in generative AI, followed closely by marketing and customer service.

Thirty percent of respondents see growth initiatives as the primary business focus for generative AI investments, followed by cost optimization (26%) and customer experience/retention (24%).

Overall, 47% of generative AI application cases focus on customer service, and 30% are used in IT services.