Data before AI:
what ANZ businesses must fix before scaling AI
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Webinar Description:
Across ANZ, organisations are committing serious investment to AI. Yet many are still running on siloed systems, inconsistent data, and platforms built long before scalable AI workloads foundation was even built.
This on-demand webinar highlights practical situations regarding what needs to be fixed and in the right order before AI can deliver at scale.
In this webinar, our experts walk through five scenarios ANZ data and technology leaders are navigating right now:
- Where to begin when a modern data platform does not yet exist
- How to evaluate Microsoft Fabric, Databricks, and Snowflake for your specific workload
- Managing AI initiatives when data volumes are large and growing
- How to define and measure ROI from AI and data investments
- Designing data architecture that does not need rebuilding in two years
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SPEAKERS
Ramen Chetia
Senior Consultant – Data & AI
Ramen is an AI/ML architect with 13+ years in IT and 8+ years delivering production-grade AI, ML, and GenAI solutions on Azure and Databricks. He specializes in RAG systems, AI copilots, and scalable MLOps, helping enterprises turn complex business challenges into real-world AI outcomes across BFSI, healthcare, insurance, and manufacturing.
Abilash Balan
Head of Growth - AU/NZ, Beyond Key
Abilash leads Beyond Key's expansion across Australia and New Zealand, bringing 16+ years in IT services, presales, and solutioning. He works closely with ANZ data and technology leaders, with a strong focus on data foundations, visualisation and AI enablement. Based in Sydney, he has worked with enterprise teams across the region to turn AI-ready data investments into measurable business outcomes.
