“We know we need to adopt AI, but we don’t know where to start.”
This reflects the reality currently faced by most business leaders in Taiwan. The challenge is not a lack of willingness — it is the lack of a clear roadmap that enterprises can use to evaluate their own readiness and direction.
How should cloud infrastructure be deployed? On-premises, public cloud, or hybrid cloud? What infrastructure is required to support AI Agents? How should a knowledge base be structured so that agents can actually utilize it effectively? Can development workflows themselves be redesigned with AI?
Rather than discussing broad future visions, this session focuses on practical implementation — examining how companies are actually approaching AI adoption, the pitfalls they encountered, and the paths they ultimately chose.
CloudMile is one of Asia’s leading AI and cloud service providers, having supported more than 1,200 enterprises in their digital transformation journeys. With extensive cross-industry experience in cloud architecture selection, hybrid cloud deployment, and enterprise AI implementation, CloudMile will address one of the most fundamental questions facing organizations today:
What kind of cloud infrastructure is the right starting point for your AI journey?
With more than 30 years of experience supporting enterprise digitalization in Taiwan, GSS has long served government agencies, financial institutions, and manufacturing companies.
This session, titled “Empowering Digital Resilience: Building a Secure and Seamlessly Integrated Intelligent Cloud Ecosystem with Agentic AI,” will explore how enterprises can safely integrate Agentic AI into existing operational workflows without requiring large-scale architectural overhauls.
Yang Li-Wei, General Manager of OpView 意藍資訊 and Assistant Professor at National Taiwan University, will present practical implementation cases under the topic:
“Building Enterprise AI Knowledge Bases and Intelligence Repositories for Agent Workflows.”
The session will cover the complete implementation path — from internal enterprise data inventory and knowledge base architecture design to practical agent integration and workflow orchestration — providing attendees with actionable deployment strategies they can apply within their own organizations.
※ Topics and speakers are continuously being updated and remain subject to final confirmation.
Practical insights into AI and AI Agent implementation:
Before adopting AI, how mature does an enterprise’s cloud infrastructure need to be?
What are the truly essential infrastructure components for AI Agents, and what can be implemented later?
How can development teams in traditional industries rapidly redesign workflows using tools such as Vibe Coding?
Why do so many enterprise knowledge bases fail to achieve real adoption after implementation?
Participants will leave with:
A practical framework for assessing enterprise AI infrastructure readiness
Strategic comparisons for cloud deployment models, including public cloud, on-premises, and hybrid cloud scenarios
Practical implementation pathways for integrating AI knowledge bases with agent workflows
Real-world case studies of traditional industry development teams adopting AI-assisted development practices
※ Topics are tentative and subject to speaker availability and final confirmation.