Asia Pacific Organizations poised to overhaul infrastructure in order to embrace AI technologies

Asia Pacific Organizations poised to overhaul infrastructure in order to embrace AI technologies
Asia Pacific economies stand to realize the productivity gains offered by Artificial Intelligence (AI) technologies. According to new research from global data and storage leader Seagate Technology, 96 percent of senior IT professionals believe AI applications will drive productivity and business performance. However, an almost equal number of respondents (95%) believe further investments in their IT infrastructure are required to enable them to support their use of AI.

The Seagate research, “Data Pulse: Maximising the Potential of AI”, explores the varying readiness levels of AI adoption and implementation by business segments across key markets in Asia Pacific (APAC) as well as the opportunities and challenges faced by organisations when looking to incorporate AI applications.

The study identified 89 percent of organisations plan to implement AI technologies in the next 12 months, in areas within the organisation including IT, supply chain logistics, product innovation and R&D, as well as finance and customer support. However, two-thirds of respondents indicated they struggled to know where to start.

“Analysts, leading technology companies and thought leaders alike are discussing that companies that embrace AI will gain a significant competitive edge. With its vibrantly growing economies, emerging pools of talent, and highly connected population, there are tremendous opportunities for APAC in reaping the benefits of AI,” said BS Teh, senior vice president, global sales and sales operations of Seagate Technology. “In order to take full advantage of the considerable benefits brought by AI, Asia Pacific organisations should proactively look to develop robust infrastructure and ecosystems to support the needs of data analytics and real-time data processing.”

Despite robust adoption of AI technologies in the region, the report found that a significant number of organisations have not invested in the data and technical solutions required to support the technology fully. 89% of the respondents are planning to implement AI solutions, but 31% do not think enough is being invested. One in five organisations indicated they were not ready or able to handle the increasing data streams from the use of AI applications. Further, while 95 percent of respondents believe there is an increasing need for robust data storage solutions with growing AI applications, 15 percent say they have not invested sufficiently in data storage to be ready for AI now or in the future.

Key findings from the study include:
•96% of respondents in APAC believe that AI applications will drive productivity and business performance
•74% of respondents have already begun implementing AI solutions, with 89% indicating they will implement AI technologies in the next 12 months
•70% of organisations agree AI will have a significant impact on their industry within three years
•95% of respondents believe there is an increasing need for robust data storage solutions with growing AI applications, yet 15% say they have not invested sufficiently in data storage to be ready for AI now or in the future
•94% of the respondents agree that data security is critical for AI, yet more than 10% do not update and review their data security strategy regularly
•Key challenges to AI implementation are identified as:
- Clear strategy and direction
- IT infrastructure
- Budget
- Leadership team's commitment
- Talent
- The key areas of AI implementation include:
(1) IT - 73%
(2) Supply Chain / Logistics – 51%
(3) Production Innovation & R&D – 45%
(4) Customer Support – 43%

Key findings in Taiwan:
• 62% have implemented AI in one or more areas of their business such as Supply Chain / Logistics (73%), IT (58%), Product Innovation / R&D (56%), and Customer Support (50%).
• 76% are planning to use or adopt more AI solutions in the next 12 months, but 83% admit that they do not know where to start
• 29% think their current IT infrastructure is not fully ready to handle the increasing stream of data. Still, regardless of whether they are ready or not, 100% of respondents indicate a need for investments in IT Infrastructure to address this.
• 38% feel that they currently don't have the best talent assigned to AI. In fact, 89% find it difficult to find the right AI talent in the market
• Almost all (99%) agree that data security is critical for AI, yet almost 1 in 4 does not update and review their data security strategy regularly

It is estimated by IDC that the global datasphere subject to data analysis, may grow by a factor of 50 to 5.2ZB in 2025, and the amount of analysed data that is processed by machine learning, natural language processing, and artificial intelligence may grow by a factor of 100 to 1.4 ZB in 2025. Being able to expand network storage capacity quickly and cost effectively without disrupting service level agreements is critical in today's world of data. Already US$39 billion has been invested in AI worldwide, with Asia Pacific spending to reach US$4.6 billion by 2021.


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