Successes and Opportunities in Enterprise AI
Page 1649
Abstract
The advances in AI over the last decade has led to significantly better outcomes and improved experiences in consumer applications. Meanwhile, successful applications of AI in enterprises have been modest during this period. In this talk, I will provide an overview of the scope of Enterprise AI, how it is similar and different from AI for consumer applications, a few successful applications, open problems and challenges and the enormous opportunity to create better outcomes and transform the experiences for employees and customers of enterprises.
Index Terms
- Successes and Opportunities in Enterprise AI
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Information
Published In
February 2022
1690 pages
ISBN:9781450391320
DOI:10.1145/3488560
- General Chairs:
- K. Selcuk Candan,
- Huan Liu,
- Program Chairs:
- Leman Akoglu,
- Xin Luna Dong,
- Jiliang Tang
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 15 February 2022
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WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining
February 21 - 25, 2022
AZ, Virtual Event, USA
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Overall Acceptance Rate 498 of 2,863 submissions, 17%
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