Title: From Data to Discovery: Ensuring Quality for AI Advancement
Description: As organizations continue to integrate digital technologies into their systems, the opportunities for harmonizing human capital collaboration are increasing. Data is pivotal for discovery, decision-making, and life cycle change management, regardless of the type or size of the organization.
In the journey of scaling organizational systems, data quality management is crucial. Utilizing quality management tools, this presentation explores and identifies impactful factors that may be accidentally missed or underestimated during the design or update of cross-functional data management systems. Addressing these factors early can prevent negative impacts on service quality, costs, and overall business performance.
Speaker: Ms. Norma Antunano
Registration here