This text covers strategies for CIOs to adopt agentic AI in enterprises, highlighting challenges, skills requirements, governance, and examples from industry leaders. It also details a partnership between Chiang Mai University and IBM to advance AI and quantum computing research in Southeast Asia.
Agentic AI automates complex IT tasks, enhances efficiency, and shifts IT from a reactive to a proactive role. Key adoption challenges:
- Need for upskilling IT staff
- Integrating with legacy systems
- Governance and compliance requirements
IBM’s three-step model: orchestration, integration, and data-driven reflection, helps smooth AI agent adoption while supporting business continuity. Robust governance is essential for ethical and compliant AI; frameworks include MAS regulations and the EU AI Act. CIOs should prioritize AI investments based on business outcomes, rather than hype or the fear of missing out. Chiang Mai University and IBM's partnership aims to boost AI and quantum research, strengthen regional collaboration, and develop local talent for deep tech leadership in Southeast Asia.