IC-SDV 2019: The Economics of Artificial Intelligence and Machine Learning for Automatic Categorization and Semantic Enrichment - Jay Ven Eman (CEO, Access Innovations, USA)
Decision points for when to implement automatic indexing or more intensive subject analysis
Machine learning and artificial intelligence approaches to automatic indexing and other aspects of content enrichment have tremendous potential, but there are significant barriers to successful implementations. The economics of these systems are not now generally affordable, which will indefinitely delay widespread adoption. Significant costs are involved in just the training and maintaining systems that chronically under perform and are fail to scale. Cost and performance data will be characterized and presented. Machine learning and artificial intelligence projects are not for the faint of heart, nor for those with small budgets. Key cost elements are identified along with approaches to estimating costs based on actual and reported cases.
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IC-SDV 2019: The Economics of Artificial Intelligence and Machine Learning for Automatic Categorization and Semantic Enrichment - Jay Ven Eman (CEO, Access Innovations, USA)
1. The Economics of Artificial
Intelligence and Machine Learning
for Semantic Enrichment
Monday, 8 April 2019, Nice
IC-SDV Conference 2019
Jay Ven Eman, Ph.D., CEO
Access Innovations, Inc. / Data Harmony
j_ven_eman@accessinn.com
www.accessinn.com
+1.505.998.0800
Albuquerque, NM USA
Access Innovations, Inc.
The Science behind the Semantics™
www.accessinn.com
22. Thank you!
Jay Ven Eman, Ph.D., CEO
Access Innovations, Inc. / Data Harmony
j_ven_eman@accessinn.com
www.accessinn.com
+1.505.998.0800
Albuquerque, NM USA
Access Innovations, Inc.
The Science behind the Semantics™
www.accessinn.com