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.
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 will focus on building a reliable, trustworthy, and documented data supply chain by emphasizing the importance of data quality and governance. Our panel will highlight 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 will include data localization, third party sources, and “data poisoning.”
This webinar will focus on building a reliable, trustworthy, and documented data supply chain by emphasizing the importance of data quality and governance. Our panel will highlight 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 will include data localization, third party sources, and “data poisoning.”
By registering for this event you get access to additional premium content!
By registering for this event you get access to additional premium content!
