Developing an AI/ML Data Strategy: Data Management & Governance in AI

“The rapidly growing fields of data analytics and artificial intelligence (AI) offer immense advantages to individuals and society. Nevertheless there are also challenges related to data management and governance within the context of AI.

Begin this course by exploring the practical knowledge and skills necessary for effective data management and governance in the context of AI projects. Discover how data quality integrity avAIlability and adherence to governance frameworks are crucial in AI projects. Next examine data lineage data privacy regulations and data accessibility. Then focus on the risks of incomplete or biased data and methods for handling large and complex datasets. Finally investigate metadata management managerial responsibilities in data governance and ethical considerations in data usage.

At course completion you will be able to effectively manage data in AI projects and navigate the complex landscape of AI and data analytics with a strong foundation in data management and governance principles.”