Event 1

Vietnam Cloud Day

Equip executive leadership with strategic insights to navigate the Generative AI era.
Disseminate best practices for establishing a unified, scalable data foundation on AWS.
Present the AI-Driven Development Lifecycle (AI-DLC) and its transformative role in software engineering.
Examine core security principles for Generative AI and the evolution toward autonomous AI Agents.

Eric Yeo – Country GM, Vietnam, Cambodia, Laos & Myanmar, AWS
Dr. Jens Lottner – CEO, Techcombank
Ms. Trang Phung – CEO & Co-Founder, U2U Network
Jaime Valles – VP & GM APJ, AWS
Panelists: Jeff Johnson, Vu Van (ELSA), Nguyen Hoa Binh (Nexttech), Dieter Botha (TymeX)
AWS Specialists: Kien Nguyen, Jun Kai Loke, Tamelly Lim, Binh Tran, Taiki Dang, Michael Armentano

Keynote Sessions: Leaders from AWS, Techcombank, and U2U Network outlined their vision for cloud and AI adoption across the region.
Executive Panel: A discussion titled “Navigating the GenAI Revolution” focused on building an innovation-centric culture, aligning AI with business strategy, and managing organizational change during AI integration.

Unified Data Foundation: This session detailed the construction of a robust infrastructure for data ingestion, storage, and governance—a mandatory prerequisite for effective AI workloads.
GenAI Roadmap: AWS showcased its comprehensive vision and emerging tools designed to empower organizations to drive efficiency through GenAI.

AI-Driven Development Lifecycle (AI-DLC): Discussions centered on a shift where AI acts not merely as an assistant but as a central collaborator. This model combines AI execution with human oversight to accelerate innovation beyond traditional methodologies.

Securing GenAI: Security was addressed across three layers: infrastructure, models, and applications, emphasizing encryption, zero-trust architecture, and granular access controls.
AI Agents: The event concluded with a focus on the shift from basic automation to Intelligent Agents—systems capable of learning, adapting, and executing complex tasks autonomously.

Adopting AI-DLC: Software development is evolving from human-led efforts with AI assistance to AI-centric collaboration, requiring teams to adapt their coding and testing approaches.
Agents vs. Automation: There is a fundamental difference between static automation scripts and dynamic AI Agents that can make decisions based on changing inputs.

Data First: A unified and governed data foundation is critical for GenAI success.
Security by Design: Security measures must be continuous and layered to ensure data confidentiality throughout the AI lifecycle.

Assess Data Readiness: Evaluate the current AWS data infrastructure to ensure it meets the scalability and governance standards required for GenAI (referencing the Unified Data Foundation session).
Explore AI Agents: Identify complex manual operations that are suitable for offloading to autonomous AI Agents rather than simple scripts.
Adopt AI-DLC: Experiment with integrating AI tools more deeply into the development lifecycle, treating them as collaborators rather than just code completion utilities.

The summit offered a holistic perspective on the GenAI landscape, effectively balancing high-level strategy with technical depth.

Strategic Insight: The panel featuring leaders from ELSA, Nexttech, and TymeX provided valuable real-world context on managing the cultural impact of AI.
Technical Depth: The afternoon tracks were highly relevant, particularly the deep dives into AI-DLC and Securing GenAI, which directly align with our technical roadmap.

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