RESEARCH PAPER: The Journey To AI-Enabled SAAS

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
  • Facebook
  • Google
  • Intel
  • Microsoft
  • MIT
  • Pure Storage
  • Telsa
  • Udacity
  • Udemy