Building an AI Ready Data Platform

Discover why your organization’s data platform isn’t the same as your AI platform, and how to build a modern architecture that is truly AI‑ready.

In this episode of Deliver Next, Fraser Paine (Head of AI at HSO) and Jourdan Templeton (HSO CTO) unpack the evolution from traditional data warehouses to modern data lakehouse platforms that serve analytics, real‑time applications and AI workloads.

They explain what drives multi‑million dollar data platform investments, how to manage sensitive and unstructured data at scale, and why data governance and consistent schemas are critical.

You’ll learn the difference between a data platform and an AI platform, plus how AI platforms set standards for deployment, cost control, security and compliance.

The discussion highlights how generative AI can be embedded in ETL pipelines to clean, structure and enrich call‑center transcripts and free text, unlocking new insights from unstructured data.

Fraser and Jordan also share practical strategies for migrating from on‑prem systems to cloud lakehouses, including mirroring versus full migration, and why a modern platform might be the last major migration you need.

For leaders planning digital transformation, they outline how to start small - running pilot AI projects on specific datasets to build capability and prove ROI. You’ll hear how modular data architectures enable continuous innovation without disrupting the business, and how AI integration turns data from a cost center into a competitive advantage.

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