Nutanix just dropped their new report on the state of enterprise AI in Asia-Pacific and Japan at their NEXT on Tour event in Mumbai. The report is all about how AI is being implemented in businesses in the region, and how it’s affecting things like staffing, IT, and cloud investments for the year ahead. According to the report, a whopping 90% of organizations in Asia-Pacific and Japan are planning to make AI a priority, and most are planning investments to support it. This could include modernizing their IT infrastructure or advancing their edge strategy.
Here are some key findings:
- Businesses in Asia-Pacific and Japan are all about embracing AI solutions, but many are facing a skills gap when it comes to implementing generative AI. The report shows that a massive 90% of organizations in the region consider AI a priority. Right now, the top two AI solutions being used are virtual assistants/customer support bots and a mix of generative AI solutions. However, businesses in the region are indicating that they lack generative AI and prompt engineering skills, and they need more data scientists and data science skills to support their initiatives.
- When it comes to enterprise AI, data security and governance are taking center stage, even more than cost concerns. Data security, data quality, scalability, and speed of development are the top considerations when it comes to running AI workloads. And over 92% of respondents say that security and reliability are important considerations in their AI strategy. This means that related IT infrastructure markets, like data storage, security, governance, and protection, could see a surge as new AI technology budgets are allocated to these essential functions.
- Businesses are more likely to purchase existing AI models or use existing open-source AI models to build their AI applications rather than build their own models from scratch. This is a bit lower than the global average, and it seems to be influenced by a combination of factors, including the high costs of in-house AI model development, the shortage of skilled AI personnel in the region, and the abundance of readily available pre-trained AI models for diverse purposes.
- Over half of APJ respondents 56% say they plan to improve data movement between cloud, data center, and edge environments. Additionally, 55% of respondents said they plan to improve data movement between multiple public clouds.
According to Aaron White, the vice president and general manager of APJ Sales at Nutanix, “AI is no longer just a buzzword, but a fundamental driver of enterprise evolution and data center modernization in 2023 and beyond. While many enterprises have rapidly adopted AI and are reaping the short-term benefits of early adoption, it’s important to remember that AI adoption is a marathon, not a sprint. The adoption strategy will be a key differentiator setting enterprises up for long-term success. As more enterprises adopt AI applications and workloads, we can expect a new wave of IT infrastructure modernization initiatives focused on data mobility, security, and protection. Our recent survey has uncovered an important theme among enterprises adopting AI solutions – a growing requirement for data mobility and data protection across data center, cloud, and edge infrastructure environments.”
*The report is based on a global research study conducted by Vanson Bourne, on behalf of Nutanix, surveying 200 IT, DevOps, and Platform Engineering decision makers between July and September 2023. The respondent base spanned multiple industries, and business sizes in the APJ region.