Event Details
AI readiness is often treated as a technology question. In practice, many of the harder questions sit underneath the technology.
Does your organization have information it can trust? Is ownership clear? Are access, accountability and decision rights well defined? Are the processes and operating disciplines around AI strong enough to support dependable use? Can leaders distinguish between a useful experiment and a capability that is actually ready to operate at scale?
Organizations can experiment with AI quickly. Building the organizational capability to use it reliably, responsibly and at scale is much harder.
Event Description
In this webinar, Chris McLean will examine organizational AI readiness, with data and information governance as a primary lens. The discussion will look more broadly at the foundations required to move AI from experimentation into dependable organizational use: information quality and ownership, governance, decision rights, accountability, operating processes, risk and execution discipline.
You Will Leave With
• A practical way to think about organizational AI readiness beyond the technology itself
• A clearer way to distinguish an AI experiment from a capability that is ready to scale
• Key questions for assessing data and information governance as a foundation for AI
• A clearer view of where decision rights, accountability, process, risk and execution disciplines may need strengthening
• Practical considerations for moving from experimentation to dependable capability and scale
The objective is not to create more governance for its own sake. It is to help leaders understand where weak organizational foundations can undermine AI adoption—and what may need to be strengthened before AI can become a dependable capability at scale.
