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Wednesday, 30 September 2026

1pm ACST

Webinar

Overview

If you’re after practical ways to reduce technology costs while improving performance, reporting and AI readiness, you’ve come to the right webinar. Your systems may still work, but are they costing more, slowing you down or making it harder to get the information you need? Join us for a practical 30-minute session on getting more value from the systems and data you already have, without starting again.

What we’ll cover
– Traditional vs Modern Data
– See how traditional data warehouses compare with modern data architecture, including where each works and where costs and limitations can emerge.
– The Business Problems you can expect to solve:
– Rising technology and cloud costs
– Slow or manual reporting
– Data stuck across different systems
– Multiple versions of the truth
– Poor data governance
– Difficulty getting data ready for AI

What you’ll walk away with: See how you can modernise in stages, keep what already works and focus investment where it will deliver the greatest value.

Can’t make it live? Register anyway and we’ll send you the recording so you can watch it when it suits you. Or request a no-obligation chat to our specialists.

More Details

Better Data Today means AI-Ready Tomorrow.

AI doesn’t fix fragmented data. It depends on trusted data.

Bringing your business data together can create the foundation for practical AI use cases such as:

✅ Ask questions of your business data using natural language
✅ Automate reporting and summaries
✅ Identify trends and anomalies faster
✅ Reduce manual analysis
✅ Give Private AI secure access to approved business information

We’ll show you why getting the data foundation right first can make future AI projects safer, easier to implement and more valuable to the business.

Technology we’ll talk about

Modernisation doesn’t mean locking yourself into one platform.

The right approach depends on the systems you already have, the problems you’re trying to solve and where you want to go.

During the webinar, we’ll explore how technologies across modern data environments can work together, including:

AWS
Amazon S3 • AWS Glue • AWS DMS • Amazon RDS • Amazon Bedrock

Microsoft
SQL Server • Microsoft Fabric • Power BI • Azure

Data & Database Platforms
Oracle • PostgreSQL • Existing business and operational systems

AI
Private AI • Generative AI • Natural-language data querying

The goal isn’t to add more technology. It’s to use the right technology to get more value from the environment you already have.

Speakers

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