Connecting the Invisible Dots: Data Before AI

Why Your Data Landscape Determines Whether AI Delivers Value

Most organisations think they know where their data lives. Ask them to prove it, and the picture changes quickly.

A CRM that has not been properly maintained. Financial records split across multiple versions of the same spreadsheet. Operational data sitting in a system nobody fully understands anymore. Customer records appearing under slightly different names depending on which platform you are looking at.

This is not unusual. It is the normal state of data inside a growing organisation. And it is the single most reliable predictor of whether an AI initiative will deliver value or quietly stall before it gets there.

In this 30-minute webinar, James Ridgway, CTO at The Curve, works through the data question that most AI conversations skip past entirely. Not which AI tools to use, or which use cases to prioritise, but whether the data foundations are in a position to support AI in the first place.

The session will cover:

• Why AI does not create data problems, it reveals the ones that were already there
• The data questions every organisation should answer honestly before scoping an AI initiative
• Why sequencing matters more than perfection, and how to make progress without waiting for clean data
• What data readiness actually looks like in practice, and how to assess where your organisation sits
• How to identify which AI use cases are viable now and which need the data landscape to change first

No technical background is required. This session is aimed at leaders and decision-makers who are exploring AI seriously and want a clearer picture of what needs to be in place before it can reliably deliver value.