RESEARCH & RESOURCES

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.


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Artificial Intelligence for Executives: Integrating AI into Your Analytical Strategy

January 9, 2019

This paper outlines the SAS approach to AI and explains key concepts.


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Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

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.


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Making Sense of AI

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.


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The Enterprise AI Promise: Path to Value

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.


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Advanced Data Lineage: The #1 Key to Removing the Chaos in Modern Analytical Environments

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.


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Harvard Business Review: The Risks and Rewards of AI

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.


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TDWI Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing

January 9, 2019

In this TDWI Best Practices Report, author Fern Halper explores how organizations are integrating these innovation advancements into their operations.


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