APJ Enterprises Prioritizing AI to Drive Data, Infrastructure Modernization
- By Paul Mah
- January 03, 2024
AI is no longer just a buzzword, but a fundamental driver of enterprise evolution and modernization in 2023 and beyond, according to a new report by Nutanix.
The just-released Nutanix State of Enterprise AI Report for Asia-Pacific and Japan (APJ) report highlights enterprise AI deployment and trends within the region, and crucially, how planned implementations will affect staffing, IT, and cloud investments
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 in the latter part of last year.
APJ enterprises going AI
According to the report, AI could be a priority for nine out of 10 (90%) of APJ organizations and most are planning investments to support it - whether to modernize their IT infrastructure (84%) or to advance their edge strategy (81%).
For now, the top two AI solutions deployed by them include virtual assistants or customer support bots (50%), as well as a mix of generative AI solutions (52%). Unfortunately, 90% of APJ organizations are slowed by a generative AI skills gap, including the need for more data scientists and data science skills to support their initiative.
Compared to organizations elsewhere, those in APJ are more likely to purchase existing AI models or leverage existing open-source AI models (86%) to build their AI applications than to build their own models (5%) – with the latter five points lower than the global average of 10%.
This inclination could stem from a confluence of factors, including the substantial costs associated with in-house AI model development, a dearth of skilled AI personnel within the region, and the abundance of readily available pre-trained AI models applicable to diverse purposes.
“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,” said Aaron White, the vice president and general manager of APJ Sales at Nutanix.
“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.”
As enterprises explore AI technologies and solutions to maintain a competitive edge, White pointed to a growing requirement for data mobility and data protection regardless of environment.
The full report can be viewed here.
Image credit: iStockphoto/Digital43
Paul Mah
Paul Mah is the editor of DSAITrends, where he report on the latest developments in data science and AI. A former system administrator, programmer, and IT lecturer, he enjoys writing both code and prose.