How are you ensuring that your data governance strategy is supporting your AI operational strategy?

We leverage the data governance framework we've used for 25 years within our SAP system, extending it into our business warehouse and analytics functions. Our AI capabilities benefit from this well-managed data environment. Having a clean and well-maintained data platform is something we've relied on for the past two decades, so we don't need to develop a new strategy from scratch.

We are still refining our approach. Our data governance strategy relies on data owners who are responsible for vetting and ensuring data accuracy. We own the technology, but the data belongs to them. If the data is incorrect, it affects the projects we deliver. Our AI strategy is closely linked to our data governance strategy, as it depends on it. While we don't have a dedicated AI governance group yet, we are considering developing one. Our existing data governance group operates independently, with its own strategy, which is essential for our CTIO group.

We have established a Data Council, with the AI Governance Committee functioning as a subcommittee within it. This structure ensures that everyone involved understands the importance of data management and the risks associated with inadequate oversight. It's crucial for those engaged in the AI governance strategy to also comprehend data governance. We rely heavily on established playbooks to guide our strategy and ensure success.