Published on October 16, 2023, 2:20 pm

  • TLDR of IDC Survey Spotlight on Generative AI Adoption in Asia/Pacific Enterprises
  • A recent IDC survey shows that 32% of Asia/Pacific enterprises are committed to investing in Generative AI, while 38% are exploring use cases for implementation. The technology is seen as valuable for elevating enterprise intelligence and driving efficiencies in areas like marketing, sales, customer care, research & development, and finance. Key use cases include knowledge management and code generation. However, challenges persist with privacy, security, accuracy, bias, and misuse. Vendors and investment firms are capitalizing on the opportunities in this space. Leveraging Generative AI comes at a cost due to infrastructure requirements. Comprehensive governance around the technology is lacking. Despite challenges, Generative AI has vast potential for transforming businesses across sectors in the Asia/Pacific region.

The IDC Survey Spotlight report on the adoption and application of Generative AI in Asia/Pacific enterprises has revealed some interesting findings. According to the report, 32% of the surveyed organizations in the region have expressed their commitment to invest in Generative AI technologies. In addition, 38% of respondents are exploring various use cases for implementing Generative AI.

These digital-first enterprises see Generative AI as a valuable tool for elevating enterprise intelligence and driving efficiencies across different functions within their organizations. Some of the areas where they plan to apply Generative AI include marketing, sales, customer care, research & development, design, manufacturing, supply chain, and finance.

One of the key use cases for Generative AI in Asia/Pacific is knowledge management. This involves leveraging the technology to access and search through large repositories of information that may consist of various types of images, documents, voice recordings, and other data formats.

Another important use case is code generation. Application programmers adopt Generative AI to create, optimize, complete, test, and debug code. This leads to improved productivity among programmers and higher quality code development.

Generative AI also finds applications in marketing automation and customer-facing roles such as conversational applications. With Generative AI, marketers can not only generate highly customized marketing content but also create search engine-optimized content.

However, while there is significant interest in adopting Generative AI among Asia/Pacific enterprises, it is important to address the inherent complexities and risks associated with implementing this technology. Deepika Giri from IDC Asia/Pacific notes that vendors are still unable to fully address concerns around privacy, security, accuracy, copyright issues, bias, and misuse associated with Generative AI technology.

Despite these challenges, numerous vendors are vying for opportunities in this technology space. From hyperscalers and cloud service providers offering Model As A Service (MaaS) platforms to specialist storage companies providing infrastructure solutions for hosting these technologies, there are many players looking to capitalize on Generative AI.

Moreover, investment firms are also keen to bet on this technology due to the potential for significant returns. The development of large language models (LLMs) requires vast amounts of data, leading to the emergence of companies offering synthetic training data that can be leveraged for training purposes while ensuring the privacy and mitigating bias concerns associated with real-world data.

The practical adoption of Generative AI can range from procuring ready-to-use solutions for marketing, customer care, and code generation to adopting and training LLMs for specific use cases. One approach gaining traction is prompt tuning, which allows training models without retraining or tweaking parameters, thus reducing compute requirements.

However, it’s important to note that leveraging Generative AI comes with a cost. The underlying infrastructure required for these compute-intensive models either involves an upfront investment in setting up data centers or is built into the price of MaaS offerings.

Additionally, while concerns about the application of Generative AI are on the rise globally, there is currently a lack of comprehensive governance around this technology. Regulatory bodies are under pressure to address issues such as data privacy and security, intellectual property rights, and the potential misuse of AI-generated content. Different countries have varying approaches to AI regulation, with some focusing on existing policies rather than formulating new ones.

In conclusion, Asia/Pacific businesses are increasingly recognizing the value of Generative AI and exploring various use cases for its implementation. While challenges exist in terms of addressing concerns and establishing regulations around this technology, it presents immense potential for transforming businesses across different sectors in the region.

Reference:
IDC Survey Spotlight: What Is the Attitude of Asia/Pacific Enterprises Toward Generative AI Adoption and Application?

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