Artificial intelligence can only deliver value in process excellence when it is built on a solid, trustworthy data foundation. Explore why data infrastructure, not algorithms, is often the biggest differentiator between AI fails and AI that scales. Industry leaders will discuss the realities of fragmented process data, legacy systems, and data governance, and how organizations can create the conditions for AI to improve outcomes.

• Why data quality, accessibility, and integration matter.
• Common data infrastructure gaps that derail AI initiatives.
• The role of process data, operational data, and unstructured data.
• Practical steps process leaders can take to prepare their data landscape.