Many companies, eager to implement AI, rush into advanced applications without first establishing a solid data foundation. Join Nitin as he uses an analogy of a CEO skipping steps on a staircase only to fall. He highlights the risks of neglecting proper data infrastructure, AI strategy, and compliance measures. Organizations should carefully consider whether to build or buy AI solutions, engage experts for incremental adoption, and ensure security and legal frameworks are in place. Without these foundational elements, ambitious AI projects risk collapsing under their own weight.
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