Abstract
Artificial intelligence (AI) has been a vision of humans for a long time. Works of fiction have explored the topic of AI from many angles. For instance, Neuromancer, 2001: A Space Odyssey, Terminator, A.I., Star Trek, Alien, Mother, and so forth feature AI in many different manifestations: some human-like and some very different, some serving, some working with, and some even fighting against humans.
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Notes
- 1.
See [1] and [2] for more information on AI in the enterprise.
- 2.
See [3] for more information on the AI-powered enterprise.
- 3.
See [4] for more information on the theoretical and application of decision analysis.
- 4.
See [5] for more information on automated decision making.
- 5.
Depending on the business context and use case, bias in ML or DL models may be an anticipated aspect. However, in most scenarios, bias should be avoided.
- 6.
We provide a high-level description of artificial neural networks (ANNs) in Chapter 3, “Key ML, DL, and DO Concepts.”
- 7.
- 8.
We describe key concepts of an information architecture for AI in Chapter 4, “AI Information Architecture.”
- 9.
See [6] for more information on the AI life cycle.
- 10.
See [7] and [8] for more information on data science related data labeling.
- 11.
Please refer to Chapter 8, “AI and Governance,” for more information on risk management in the context of AI.
- 12.
Refer to Chapter 6, “The Operationalization of AI.”
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© 2020 Eberhard Hechler, Martin Oberhofer, Thomas Schaeck
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Hechler, E., Oberhofer, M., Schaeck, T. (2020). AI Introduction. In: Deploying AI in the Enterprise. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6206-1_1
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DOI: https://doi.org/10.1007/978-1-4842-6206-1_1
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6205-4
Online ISBN: 978-1-4842-6206-1
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