Kiwa, winners of the HSO People’s Choice Award, join Deliver Next to share how they are redefining responsible AI. CEO Steven Renata explains how Kiwa became a global leader in dubbing with VoiceQ and why their approach focuses on enhancing creative talent rather than replacing it.

We also explore CultureQ, Kiwa’s groundbreaking platform for data sovereignty and Indigenous knowledge preservation. Steven discusses how private, community led AI can protect language, identity and cultural stories while building trust with the people it serves.

This episode offers essential insights for leaders navigating AI governance, creative automation, ethical innovation and long term digital strategy. A must-watch for CIOs, CTOs, COOs, CEOs and transformation leaders.

#AI #EthicalAI #DataSovereignty #AIForGood #DigitalTransformation #VoiceQ #CultureQ #EnterpriseAI

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.

#DataPlatform #AIPlatform #ModernDataPlatform #DigitalTransformation #CloudMigration #GenerativeAI #AIIntegration #DataGovernance #FutureTech #TechTrends #MachineLearning #Innovation #DataScience

In this episode of Wesley’s ERP podcast, HSO’s Nathan Bregmen sits down with Wesley Nelson (ANZ Service Line Director) to reveal why successful AI/ERP transformations start with people, process and data – not technology.

They discuss quick wins like month‑end close automation and supplier‑communication agents, explore how AI scheduling can free up manufacturing teams, and share proven KPIs and ROI benchmarks. Wesley explains why transformation is about enhancing culture instead of replacing it, and how to design your ERP for the next 5–10 years.

What you’ll learn:

• Data & process first: Learn why AI projects fail when data is dirty and processes aren’t mature

• Wesley’s journey from end‑user to consultant shows how cleaning data and mapping processes unlock AI benefits.

• Quick wins: Hear real examples of automating month‑end close, implementing supplier‑communication agents and using AI co‑pilots to speed up approvals

• AI for operations: Discover how autonomous scheduling agents could transform manufacturing and professional services – and why they need good data to work.

• Measuring ROI: Use industry KPIs (DSO, inventory aging, month‑end cycle time) to track success and justify investment

• Future‑proofing: Understand how to build ERP systems for the next decade, without losing your company’s unique culture.

Join the conversation! What’s your biggest challenge with AI and ERP? Tell us in the comments and we’ll feature some responses in our next episode.

#AI #DigitalTransformation #ERP #BusinessAutomation #DataAnalytics