New Book: Enterprise AI - An Applications Perspective

Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI in the Enterprise. Designed for strategists and developers, the book provides a practical and straightforward roadmap based on application use cases for AI in Enterprises. The authors (Ajit Jaokar and Cheuk Ting Ho) are data scientists and AI researchers who have deployed AI applications for Enterprise domains. The book is used as a reference for Ajit and Cheuk's new course on Implementing Enterprise AI.

Download the book (members only) 

Click here to get the book. For Data Science Central members only. If you have any issues accessing the book please contact us at [email protected] To become a member, click here



  • Machine Learning, Deep Learning and AI 
  • The Data Science Process 
  • Categories of Machine Learning algorithms 
  • How to learn rules from Data? 
  • An introduction to Deep Learning 
  • What problem does Deep Learning address? 
  • How Deep Learning Drives Artificial Intelligence 

Deep Learning and neural networks

  • Perceptrons – an artificial neuron 
  • MLP - How do Neural networks make a prediction? 
  • Spatial considerations - Convolutional Neural Networks 
  • Temporal considerations - RNN/LSTM 
  • The significance of Deep Learning 
  • Deep Learning provides better representation for understanding the world 
  • Deep Learning a Universal Function Approximator 

What functionality does AI enable for the Enterprise? 

  • Technical capabilities of AI
  • Functionality enabled by AI in the Enterprise value chain 

Enterprise AI applications 

  • Creating a business case for Enterprise AI 
  • Four Quadrants of the Enterprise AI business case 
  • Types of AI problems 

Enterprise AI – Deployment considerations 

  • A methodology to deploy AI applications in the Enterprise 
  • DevOps and the CI/CD philosophy


DSC Resources

Views: 5141


You need to be a member of Data Science Central to add comments!

Join Data Science Central

Comment by Marcelo Valhof on December 16, 2018 at 11:45am

Thanks Dr. Granville, I hope this book will offer us very useful insights for whom are working different implementations from a non traditional approaches.

Comment by thien anh nguyen bui (At Home) on December 5, 2018 at 6:51pm

Thank you. The book is very helpful.

© 2021   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service