Machine Learning (ML) and Artificial Intelligence (AI) will impact practically every application in every industry in the coming few years. Modern applications are increasingly delivered as cloud-based services and as a result, Software-as-a-Service (SaaS) and cloud-based application vendors can now deliver the competitive benefits of AI to their customers.
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Table Of Contents
- Introduction
- Taxonomy: Artificial Intelligence (AI), Machine Learning (ML), And Deep Learning (DL)
- Project Brainstorming: Finding Pots Of Gold (And Avoiding Rat Holes)
- Organization And Talent Considerations
- Final Project Selections And Priorities
- Technology Selection And Acquisition
- Data Preparation
- Model Development And Deployment
- Conclusions And Recommendations
- Figure 1: The Relationship Between AI, ML, And DL
- Figure 2: Linear Regression Fits A Line Or A Curve To Data Points Using Sum Of Least Squares Differences
- Figure 3: A Typical Deep Neural Network
- Figure 4: AI Is Ushering In A New Era, Which Many Call Software 2.0
- Figure 5: AIRI From Pure Storage
Companies Cited
- Amazon AWS
- Baidu
- Coursera
- Intel
- Microsoft
- MIT
- NVIDIA
- Pure Storage
- Telsa
- Udacity
- Udemy
