AI strategy and use case discovery. Prompt & Response webcast #2

What you'll learn

• Business value: Every AI project must align with corporate goals and deliver tangible outcomes such as revenue growth, customer satisfaction, or efficiency. - Data: High-quality, accessible, and timely data is the foundation of AI success. - Culture and organization: People matter most. There must be leaders, champions, and adoption mechanisms to make solutions stick. - Technology: Models, platforms, and MLOps practices are important, but they should come only after business needs are clear. - Governance and ethics: In Europe especially, compliance, monitoring, and ethical frameworks cannot be ignored.

Topics covered