AI Adoption Across APAC Shifted from Hype to Practical, Results-Driven Use Cases

Christine Low, Head of Observability, APAC, Splunk: Christine Low brings over two decades of strategic leadership and expertise in technology sales and business development across the APJC region.

Most Significant Change/Evolution Telecom Industry Underwent in 2024

In 2024, AI adoption across APAC shifted from hype and experimentation to practical, results-driven use cases. AI is enhancing productivity, especially among entry-level workers in security operations, by lowering entry barriers and addressing skill shortages. This shift highlighted the importance of AI solutions that deliver measurable outcomes and integrate seamlessly into daily business operations.

Meanwhile, the rapid growth of AI spurred a focus on regulation and governance, with governments working to balance innovation with compliance, security, and ethics. Singapore introduced its AI Governance Framework to promote transparency and accountability, while Australia and Japan explored guardrails for responsible AI use and data privacy. In 2025, businesses in APAC will need to adapt to evolving AI regulations, data residency, and privacy requirements while delivering tangible business value.

An Industry/Market Trend You Are Betting Big on for 2025

Looking ahead in 2025, business and technology leaders will work more closely together to find solutions that support digital resilience, growth and innovation. Managing digital complexity, new regulations and unexpected disruptions will push businesses to adopt proactive strategies, with observability emerging as a key enabler for resilience. Observability is a mindset that empowers businesses to ask and answer any question about their operations through holistic data collection and analysis. It provides a clear, real-time view of internal system states, allowing businesses to spot issues before they escalate and maintain reliability. According to Splunk’s 2025 Predictions report, observability will evolve beyond troubleshooting and performance management to proactively shape product roadmaps. This shift will guide software developers to enhance customer experiences and align system performance with business goals.

This mindset is backed by critical technologies that make observability actionable. For example, OpenTelemetry provides a standardised way to collect and analyse observability across platforms, creating a unified view of system performance. Meanwhile, AIOps (AI for IToperations) takes observability a step further, automating root cause analysis and improving response times. In 2025, businesses that leverage observability to go beyond reliability will set themselves apart. By connecting system performance to critical outcomes such as revenue, customer growth and satisfaction, observability becomes a driver for strategic innovation and digital resilience. Leaders can use it to guide product development, enhance customer experiences, and make smarter, data-driven decisions that support growth and innovation in a rapidly evolving landscape.