Eduardo dives deeper into the common theme of rushing into AI adoption without laying a solid data foundation, believing that AI implementation is the key to staying competitive. However, without the right data strategy, governance, and skills, their results fall short. Companies often lack clean, updated, and well-governed data, which leads to poor outcomes despite using advanced AI models. The key challenge is balancing the excitement of AI's potential with the necessary groundwork of data management. While AI engineering is in high demand, there’s a growing need for expertise in data engineering to ensure sustainable AI success.
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