Workshop

Session Takeaways

• Explore Responsible AI principles for low-resource and edge environments, including fairness, transparency, and accountability.
• Understand how frugal edge AI enables affordable, energy-efficient, and offline-ready AI systems.
• Discover citizen science models where communities help collect data and validate AI outcomes.
• Design AI systems that protect data sovereignty and keep ownership local.
• Examine governance approaches, including sandboxes and community-centric frameworks, that support safe innovation.

Session Takeaways

• Understanding Vibe Coding: Learn how modern AI-assisted “vibe coding” enables non-technical professionals to build business tools without traditional programming.
• Rapid AI Automation for SMEs: Discover how AI can automate repetitive tasks such as reporting, customer responses, marketing workflows, and internal operations.
• Building AI-Powered Business Tools in Minutes: Participants will experience how to create simple AI-powered applications or workflows within 60–90 minutes.
• Practical AI Use Cases for Business Growth: Understand real SME use cases such as AI assistants, lead generation automation, data analysis, and marketing automation.
• From Idea to Prototype Quickly: Learn how to translate business problems into AI solutions using low-code / no-code tools.
• Strategic Thinking for AI Adoption: Gain insights into how SMEs can integrate AI tools into their daily workflows to improve productivity and competitiveness.

Session Takeaways

• Strategic, not academic: Built for business leaders, not engineers.
• Interactive and practical: Includes a rapid quantum SWOT exercise tailored to your industry.
• Immediate applicability: Participants leave with an actionable next-step framework.
• Quantum is not about replacing classical computing. It is about unlocking new problem-solving capabilities that redefine competitive advantage.
• Leaders who understand it early will shape markets. Those who ignore it may find themselves reacting instead of leading.

Session Takeaways

• Start with the Product, Not the Policy: Understand why successful innovation begins with solving real user and market needs, rather than being constrained by policy frameworks
• Solve for Incentives, Not Just Features: Learn how aligning economic, behavioral, and ecosystem incentives drives adoption and long-term success, going beyond feature-building to create sustainable and impactful solutions.
• Build Small, Open Source, and Let It Spread: Explore how lightweight, modular, and open-source approaches accelerate innovation, enabling faster experimentation, community contribution, and organic scalability across markets.
• Use APIs Like Legos — Don’t Build What You Can Rent.
• Measure What Matters — Livability, Not GDP: Shift focus from traditional growth metrics to meaningful impact indicators such as quality of life, sustainability, and human-centric outcomes when evaluating success.

Session Takeaways

• Navigate multi-jurisdictional AI regulatory requirements with confidence 
• Align AI risk posture with ISO/IEC 42001, ISO 27001 & Singapore's Model AI Governance Framework 
• Apply the Dual-Use AI lens: govern both offensive AI risk and defensive AI opportunity
• Distinguish institutional vs. algorithmic AI barriers — and sequence deployment accordingly 
• Reframe AI governance as regenerative capital using the RSquare AI & Flywheel model H7
• Build a sovereign ASEAN AI growth narrative for boards and institutional partners

Session Takeaways

• Why Healthcare AI Fails — The Missing Middle Layer   
• The Healthcare AI Stack (End-to-End View)  
• Data Governance & Trust    
• Asia Opportunity — Building AI-Native Healthcare Systems
• A Practical Framework to Scale AI in Healthcare    

Session Takeaways

• What are cyber physical systems and how does their security differ from that of traditional IT systems?
• Why is risk quantification in automotive and other cyber-physical industries uniquely complex, and how do safety and regulatory requirements influence this process?
• How to proactively assess risk for an organization's products and infrastructure?
• How to design an organization's risk response model to evaluate cyber threats for IoT and OT systems?
• How to perform a Threat Analysis and Risk Assessment (TARA)?
• How TARA supports end-to-end product cybersecurity and continuous security operations?
• How TARA bolsters other cybersecurity management activities such as incident response and penetration testing?

Session Takeaways

• 2026 is the tipping point. GenAI and agentic AI are moving into real production, already driving efficiency and CX gains.
• Agentic AI delivers action, not just answers. It plans, uses tools, and executes multi-step workflows across KYC, AML, and underwriting—with human oversight. 
• Regulation is the gatekeeper. Most core use cases are high-risk, demanding explainability, governance, and control.
• Focus drives value. Win first in high-volume, data-rich back-office use cases, then scale with strong governance.
• Middle management decides the outcome. They translate strategy into execution—and determine who leads or lags.

Session Takeaways

• Learn in this session through examples and frameworks what are some of the possibilities at hand to rethink the topic and make it a profit accelerator for your company.
• Latest sustainability trends
• From perceiving costs to measuring outcomes
• The Sustainability Leadership Ladder
• Use case and examples

Session Takeaways

• Understanding how cybercriminals leverage AI to automate reconnaissance, phishing, and malware development
• Live demonstration of modern AI-driven attack techniques and exploitation scenarios.
• Identifying vulnerabilities in AI-enabled digital environments.
• Practical defensive strategies for modern security and SOC teams.
• From Idea to Prototype Quickly: Learn how to translate business problems into AI solutions using low-code / no-code tools.
• Preparing organizations for the evolving landscape of AI-driven cyber threats.