Everyone wants AI. Nobody wants to talk about the data.
In this episode of QInsight, Steve Clarke and Alastair Jupp are joined by Ryan Pennett, VP of Business Development at QWare, to explore why so many AI projects struggle before they have even begun.
The problem is rarely the technology. It is the quality of the information underneath it. From duplicate records and outdated customer information to missing ownership and weak governance, the discussion looks at the reality of what happens when businesses point AI at data that has been neglected for years. The result is often expensive automation, unreliable outputs, and processes that move faster without becoming any better.
Ryan shares practical examples of the issues organisations encounter when preparing for AI, why data quality remains one of the least glamorous but most important parts of digital transformation, and how businesses can begin tackling the problem without turning it into a massive programme of work. The team also explore AI consumption costs, the risks of automating bad processes, and why governance should be owned by the business, not left to IT alone.
If AI is the destination, this episode argues that most organisations still need to spend time fixing the runway before attempting take-off.
