Risk-proofing the AI supply chain: Building trust and integrity

As organizations rush to adopt AI for a range of use cases, concerns are growing around data integrity—the lack of which contributes to the risk of project failures and escalating costs.

This webinar focuses on building a reliable, trustworthy, and documented data supply chain by emphasizing the importance of data quality and governance. Our panel highlights how it is essential that the sources of data, whether internal and external, must be thoroughly identified, vetted, and documented, including potential methods for creating the supply chain “map.” Other topics include data localization, third party sources, and “data poisoning.”