Jakarta, INTI - Equinix believes that infrastructure readiness and data governance are key factors in supporting the implementation of agentic AI in Indonesia.
Equinix Indonesia Managing Director Haris Izmee said the rapid development of agentic AI is beginning to drive transformation across various sectors, ranging from customer service and software development to business automation.
However, he noted that many organizations still face challenges related to data readiness and supporting infrastructure.
“The effectiveness of agentic AI heavily depends on the environment in which the technology operates,” he said.
Haris explained that Indonesia’s accelerating digital growth has also increased the complexity of data management. Corporate data is now distributed across multiple environments, including on-premises systems, multi-cloud platforms, SaaS services, and edge locations.
This situation is further complicated by growing cybersecurity threats and stricter data protection regulations, including the implementation of Indonesia’s Personal Data Protection Law (UU PDP).
According to Haris, data is no longer merely a business asset, but a responsibility that must be managed and secured carefully.
In the context of agentic AI, fragmented data and high latency can hinder AI systems from making real-time decisions effectively.
Therefore, companies need to shift their focus from simply ensuring data access to achieving data readiness through standardization, better data visibility, and cross-platform integration.
Low-Latency Connectivity and Governance Support Scalable AI Systems
Equinix believes that traditional internet connectivity is no longer sufficient to support modern AI workloads that require fast and stable data movement.
As a result, interconnection, or low-latency private connectivity between cloud platforms, data centers, and edge environments, has become a critical foundation for building scalable and reliable AI systems.
Beyond infrastructure, governance is also becoming increasingly important as AI systems gain greater autonomy. Organizations must ensure the presence of audit trails, access controls, and human oversight, particularly in critical scenarios.
Equinix emphasized that the success of AI strategies in Indonesia will depend not only on the sophistication of AI models, but also on the readiness of data foundations, security systems, and governance frameworks that support safe and sustainable operations.
Conclusion
Equinix highlighted that the future success of agentic AI in Indonesia will rely not only on advanced AI models, but also on strong digital infrastructure, integrated data management, secure connectivity, and effective governance. As AI systems become more autonomous, organizations must prioritize data readiness and operational security to ensure scalable, reliable, and sustainable AI adoption.
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