Artificial Intelligence Fundamentals
(Sprache: Englisch)
This book sets the reader on the path to establishing a data analytics strategy which includes artificial intelligence with a common language and capabilities with usages. A capability maturity framework with enterprise infrastructure is included as also an...
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Klappentext zu „Artificial Intelligence Fundamentals “
This book sets the reader on the path to establishing a data analytics strategy which includes artificial intelligence with a common language and capabilities with usages. A capability maturity framework with enterprise infrastructure is included as also an assessment tool for measuring and managing it to higher levels of maturity.
Inhaltsverzeichnis zu „Artificial Intelligence Fundamentals “
Table of Contents 1. Introduction
What is Artificial Intelligence?
Why is it important?
Analytics Maturity Curve
2. AI Usages
Business Cases:
Automotive
Retail
Manufacturing
Health
Finance and Banking
Academia and Education
.....
AI for Good
3. AI Infrastructure
Algorithms - the top 10
Hardware
Software: frameworks
Summary
4. AI Capability
5. Analytics Assessment
Self-Assessment Process
Assessment Teams
The Assessment Process
The Self-Assessment Framework
Section 1. Management Commitment
Section 2. Business Responsibility
Section 3. AI Competency
Section 4. Linking it to your Values - AI for good
Scoring the Self Assessment
Developing an Action Plan
Moving to the Next Maturity Level - from spreadsheets to prediction?
AI Support
Impact of AI
The Importance of Assessment
Summary
6. Launching AI - Getting Started
Gaining Management Commitment
Create and Communicate a Vision Develop an Innovation Strategy
Measure Business Value
Developing Innovation Capabilities
Skills - make or buy
Training
Assets, Methods, Skillsets
Develop Infrastructure
Enablers and Inhibitors
Summary
7. Deep Learning (DL)
DL in action
DL history
DL vs classical ML
DL frameworks
DL in the Cloud - case study Neon introduction
8. AI Basics
Multi-layer perceptions (MLP)
Activations
Initializations
Costs
Optimizers - Gradient descent and variants
Backpropagation
Hands on exercise
9. Convolutional Neural Networks
CNN overview / examples
Layers
Convolutions
Pooling
Dropout
Local response normalization
De-conv
Popular CNNs
Hands on exercise
Appendix A Case Studies
Appendix B Assessment Tool
Self-Assessment Tool
Section 1. Management Commitment
Section 2. Business Responsibility
Section 3. Competency
Section 4. Enterprise Values
Section 5. Support
Section 6. Impact
Appraising Performance
Appendix C hands on examples - links and code
References
... mehr
Table of Contents
1. Introduction
What is Artificial Intelligence?
Why is it important?
Analytics Maturity Curve
2. AI Usages
Business Cases:
Automotive
Retail
Manufacturing
Health
Finance and Banking
Academia and Education
.....
AI for Good
3. AI Infrastructure
Algorithms - the top 10
Hardware
Software: frameworks
Summary
4. AI Capability
5. Analytics Assessment
Self-Assessment Process
Assessment Teams
The Assessment Process
The Self-Assessment Framework
Section 1. Management Commitment
Section 2. Business Responsibility
Section 3. AI Competency
Section 4. Linking it to your Values - AI for good
Scoring the Self Assessment
Developing an Action Plan
Moving to the Next Maturity Level - from spreadsheets to prediction?
AI Support
Impact of AI
The Importance of Assessment
Summary
6. Launching AI - Getting Started
Gaining Management Commitment
Create and Communicate a Vision Develop an Innovation Strategy
Measure Business Value
Developing Innovation Capabilities
Skills - make or buy
Training
Assets, Methods, Skillsets
Develop Infrastructure
Enablers and Inhibitors
Summary
7. Deep Learning (DL)
DL in action
DL history
DL vs classical ML
DL frameworks
DL in the Cloud - case study Neon introduction
8. AI Basics
Multi-layer perceptions (MLP)
Activations
Initializations
Costs
Optimizers - Gradient descent and variants
Backpropagation
Hands on exercise
9. Convolutional Neural Networks
CNN overview / examples
Layers
Convolutions
Pooling
Dropout
Local response normalization
De-conv
Popular CNNs
Hands on exercise
Appendix A Case Studies
Appendix B Assessment Tool
Self-Assessment Tool
Section 1. Management Commitment
Section 2. Business Responsibility
Section 3. Competency
Section 4. Enterprise Values
Section 5. Support
Section 6. Impact
Appraising Performance
Appendix C hands on examples - links and code
References
1. Introduction
What is Artificial Intelligence?
Why is it important?
Analytics Maturity Curve
2. AI Usages
Business Cases:
Automotive
Retail
Manufacturing
Health
Finance and Banking
Academia and Education
.....
AI for Good
3. AI Infrastructure
Algorithms - the top 10
Hardware
Software: frameworks
Summary
4. AI Capability
5. Analytics Assessment
Self-Assessment Process
Assessment Teams
The Assessment Process
The Self-Assessment Framework
Section 1. Management Commitment
Section 2. Business Responsibility
Section 3. AI Competency
Section 4. Linking it to your Values - AI for good
Scoring the Self Assessment
Developing an Action Plan
Moving to the Next Maturity Level - from spreadsheets to prediction?
AI Support
Impact of AI
The Importance of Assessment
Summary
6. Launching AI - Getting Started
Gaining Management Commitment
Create and Communicate a Vision Develop an Innovation Strategy
Measure Business Value
Developing Innovation Capabilities
Skills - make or buy
Training
Assets, Methods, Skillsets
Develop Infrastructure
Enablers and Inhibitors
Summary
7. Deep Learning (DL)
DL in action
DL history
DL vs classical ML
DL frameworks
DL in the Cloud - case study Neon introduction
8. AI Basics
Multi-layer perceptions (MLP)
Activations
Initializations
Costs
Optimizers - Gradient descent and variants
Backpropagation
Hands on exercise
9. Convolutional Neural Networks
CNN overview / examples
Layers
Convolutions
Pooling
Dropout
Local response normalization
De-conv
Popular CNNs
Hands on exercise
Appendix A Case Studies
Appendix B Assessment Tool
Self-Assessment Tool
Section 1. Management Commitment
Section 2. Business Responsibility
Section 3. Competency
Section 4. Enterprise Values
Section 5. Support
Section 6. Impact
Appraising Performance
Appendix C hands on examples - links and code
References
... weniger
Autoren-Porträt von Esther Baldwin
Esther Baldwin, Artificial Intelligence Strategist, Intel, USA
Bibliographische Angaben
- Autor: Esther Baldwin
- 2025, XV, 245 Seiten, 54 Schwarz-Weiß-Abbildungen, mit Abbildungen, Maße: 17 x 24 cm, Kartoniert (TB), Englisch
- Verlag: De Gruyter
- ISBN-10: 1501515853
- ISBN-13: 9781501515859
- Erscheinungsdatum: 15.01.2025
Sprache:
Englisch
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