Yali dives deeper into the importance of AI-ready data and investing in reusable data assets. Organizations don’t need an all-encompassing data foundation; instead, they should focus on well-governed pockets of data that can be leveraged across multiple AI applications. Establishing a strong initial use case helps create a powerful flywheel effect, accelerating AI adoption. Leadership buy-in is crucial, and the challenge lies in demonstrating early value with minimal initial investment to scale AI initiatives efficiently.
Interested in hearing more from our webinar, AI-Powered Personalization vs. Data Privacy: Can You Have Both? Find the full webinar here: https://snowplow.io/events/ai-powered-personalization-vs-data-privacy-can-you-have-both