Three AI trends that will impact APAC organizations’ resilience and sustainability

Following are three trends that impact this viewpoint, which are worth paying greater attention to…

1. Pervasive adoption of AI across industries
   Generative AI (GenAI) started out with a bang, showing immediate application and potential to transform multiple business functions, whether in helping streamline the content creation process, reviewing code snippets, or to assist in generating responses to queries. However, business leaders must approach generative AI with eyes wide open, and establish clear ethical frameworks in how to deploy the technology.

   Expect the technology to be used more extensively in business data analytics to augment productivity through smarter automation. Utilizing AI for network management accelerates operations, ensuring optimal performance. AI can adapt to varying network conditions, making real-time decisions in optimizing network health and traffic flows or even to remediate potential security issues before they happen, thus reducing downtime, and streamlining processes.

   In doing this, businesses can unlock the potential of AI with drastically reduced costs, significantly improved efficiencies in delivery, and maximize offerings to customers to maintain a competitive edge.

2. Stressing of work performance over presence
   For many organizations today, the conversation is how to adapt the new and dynamic demands of the workforce and where work is done: whether in the office, or at home.

   As organizations increasingly lean on geographically distributed teams and a global talent pool, there will be a need to have the right technology investments, such as AI tools and functionality embedded in collaboration suites to foster more effective international collaboration.

   This reallocation of human capital can significantly boost productivity, as employees are freed from busy work, and can spend more time with strategic and creative output, ultimately gaining more control over their work processes.

   This presents an opportunity for businesses to continue investing in training their employees. The learnings should center around giving the employees a base and methodology of how to approach difficult problems creatively and collaboratively, and to include data from disparate sources. Aided by AI, organizations that enable this approach in their teams will get ahead as the technology evolves in complexity.

3. Filling a gap in high performance computing
   With more priority being placed on tech spending being pledged, nations across APAC are already formulating national strategies aimed at addressing the growing necessity for a better understanding of domestic AI compute capacity.

   Recently, Singapore announced an updated AI strategy that now includes considerations to scale up AI for compelling use cases in sectors such as advanced manufacturing, financial services, healthcare, education, and public services.

   However, many facilities elsewhere may not be equipped to support the high-performance computing and high-bandwidth networking requirements that AI workloads require. As such, the coming years will see increased demand for purpose-built, highly scalable and flexible digital infrastructure that can accommodate the compute and networking performance requirements of high-performance workloads.