TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
January 9, 2019
This paper outlines the SAS approach to AI and explains key concepts.
Sponsored By SAS
January 9, 2019
This paper introduces key machine learning concepts and describes solutions that enable data scientists and other analytical professionals to perform machine learning at scale.
Sponsored By SAS
January 9, 2019
This e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can enable us to make better, faster decisions.
Sponsored By SAS
January 9, 2019
This study examines Enterprise Readiness for AI through interviews with representatives from businesses across EMEA and from a wide range of industry sectors.
Sponsored By SAS
January 9, 2019
This paper focuses on an important component of metadata, advanced data lineage. We discuss the many use cases for data lineage and stress the characteristics one should look for in mature data lineage technologies.
Sponsored By Octopai
January 9, 2019
Exploring the rise of artificial intelligence, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve.
Sponsored By SAS
January 9, 2019
In this TDWI Best Practices Report, author Fern Halper explores how organizations are integrating these innovation advancements into their operations.
Sponsored By SAS