How data quality improves artificial intelligence – Part 2
Jim Harris shares three more examples of how data quality improves AI in Part 2 of his series.
Author
Jim HarrisRSS
Blogger-in-Chief at Obsessive-Compulsive Data Quality (OCDQ)
Blogger-in-Chief at Obsessive-Compulsive Data Quality (OCDQ)
Jim Harris is a recognized data quality thought leader with 25 years of enterprise data management industry experience. Jim is an independent consultant, speaker, and freelance writer. Jim is the Blogger-in-Chief at Obsessive-Compulsive Data Quality, an independent blog offering a vendor-neutral perspective on data quality and its related disciplines, including data governance, master data management, and business intelligence.
How data quality improves artificial intelligence
Jim Harris shares examples of how and why AI applications are dependent on high-quality data.
Data stewardship for artificial intelligence
Jim Harris says curating AI’s curriculum is the responsibility of data stewards.
Data engineers: Key role in data privacy and protection
Jim Harris discusses a key role of the data engineer – protecting sensitive personal data.
Data steward: The concierge of analytics
Jim Harris says data stewards are essential to analytics, providing life cycle management for data across the enterprise.
Data is not the only decision maker
Jim Harris says people still play a pivotal role in data-driven decision making.
Growing importance of data lineage when managing data for analytics
Jim Harris says learn the lineage of the data that fed the analysis before you get dazzled by visualizations or algorithms.
Data lake management for analytics
Jim Harris warns against allowing your data lake to become a poorly managed and ungoverned data dumping ground.
Real-time data and streaming analytics
Like hiking without GPS directions, Jim Harris says businesses that don't use streaming data analytics will be lost in a crowd of competitors.
Will GDPR shift personal perspectives on data?
Jim Harris says the GDPR may cause seismic changes in how people think of privacy and personal data.