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Bridging Data, Security & AI: From Architecture to Domain-Driven Intelligence

Event artwork for Bridging Data, Security & AI: From Architecture to Domain-Driven Intelligence

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About this event

What to expect

This exclusive evening brings together senior technology leaders to address the critical intersection of data architecture, security, and artificial intelligence in enterprise environments. As AI adoption accelerates, organisations increasingly face challenges not from the technology itself, but from fragmented data systems, security vulnerabilities, and the disconnect between domain expertise and AI implementation.

Featured Sessions

The event features two keynote presentations from industry leaders tackling real-world enterprise challenges. Dr. Lana Feng, Co-Founder & CEO of Cogzia, will present "The Missing Link Between Domain Expertise and AI Systems," exploring why most AI projects fail due to excluding domain experts rather than technical limitations. She'll demonstrate how organisations can bridge this gap to create AI systems that business experts can directly shape and trust.

Alex Thaman, Chief Technology Officer at Andesite, will deliver a deep dive into "Security Data Architecture," examining how modern organisations design data systems that balance scalability with security-by-design principles. He'll share practical approaches for handling AI and data risk in production environments beyond theoretical frameworks.

Why This Matters

Enterprise AI initiatives often stall not because of inadequate models, but due to siloed data, slow iteration cycles, and missing business context. This event addresses these pain points head-on, moving beyond AI experiments to explore how leading teams build production-ready systems that deliver measurable business value. You'll gain actionable insights on transitioning from proof-of-concept to systems that integrate seamlessly with existing data platforms whilst maintaining robust security postures.

Who Should Attend

This event is designed for professionals building, securing, or scaling data platforms in enterprise contexts. Whether you're an AI engineer struggling to demonstrate business impact, a data architect managing messy and fragmented data sources, or a security professional responsible for governance and risk management, you'll find relevant, immediately applicable perspectives. The sessions speak directly to those who want to understand how AI functions within real enterprise constraints, not just demonstration environments.

Schedule & Networking

The evening begins at 4:30 PM with check-in and networking, providing opportunities to connect with peers before the technical sessi

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