What we’re there to talk about

EdgeRed is sponsoring the 2026 Gartner APAC Data & Analytics Summit on 16-17 June. We’ll be there as The Omnia Collective — with a stand across both days and a speaking slot.

The Gartner APAC summit tends to attract people who are well past “should we do AI” and deep into the harder question: how do we make it work reliably, at scale, in production. That’s exactly where our practice sits. So rather than show up with a generic pitch, we’re focusing on three specific problems we’re working through with clients right now.

High-stakes decision support

There’s a category of decision-making where being wrong carries real cost — regulatory exposure, capital allocation, strategic pivots. The organisations we work with in this space aren’t short on data. What they’re missing is a reliable way to connect that data to the commercial decision in front of them, at the speed the decision actually needs to be made. We’ve been building in this space, and we’ll be sharing more at Gartner.

AI orchestration on Snowflake Cortex AI and Microsoft Fabric

Agentic AI is maturing fast, but most production builds we see are still single-agent, single-task. The more interesting work is orchestrating multiple agents across complex workflows — semantic data models, conversational analytics, multi-step reasoning — all running natively within your existing platform.

As a certified Snowflake AI Data Cloud Partner and Microsoft Solutions Partner, we build these end-to-end: architecture through to commercial handover. On Fabric that means medallion architectures, DevOps pipelines, and Power BI integration. On Snowflake Cortex, it means semantic layers and agentic analytics that hold up in production.

Getting AI out of pilot and into production

This one comes up constantly. Organisations have done the proof of concept. Someone is now asking: when does this go live? That question usually surfaces problems that weren’t visible earlier — data quality gaps, missing governance, no human-in-the-loop design, auditability concerns.

We’ve delivered production-grade AI in regulated environments, including for medical professionals where accuracy and auditability aren’t nice-to-haves. The readiness work, governance frameworks, validation infrastructure — that’s all part of what we bring. We’ll be talking through what it actually takes to ship AI that holds up when the stakes are high.

Come find us

We’ll be across both days on 16-17 June. If you want to compare notes on any of the above — or just talk through what you’re dealing with — our Co-Founder, Howard Gu, will be hovering along with the Omnia Collective team!

Our AI Practice Lead, Matthew Phillip, will also be presenting a session: What does an AI-native organisation actually look like? If you’re working through that question yourself, it’s worth the calendar block.

Want to connect ahead of the event? Get in touch here.