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Index
Getting Started with Machine Learning in the Cloud
Executive Overview
Introduction: The Data Opportunity
Machine Learning Solves Real-World Problems
Benefits of Deploying Machine Learning
Help You Make Smarter, Faster Decisions
Help Remove Bias from Decision Making
Leverage All Your Data
Deliver a Better Customer Experience
Streamline Operations and Reduce Costs
To Cloud or Not to Cloud?
Benefits of the Cloud
The Machine-Learning Life Cycle
How to Get Started
Step 1: Formulate a Concrete, Achievable Goal
Step 2: Assemble the Team
Step 3: Achieve Quick Wins That Show the Value of Machine Learning
Step 4: Evangelize to Get Executive Support
Step 5: Operationalize/Productionize Machine-Learning Initiatives
Challenges of Getting Started with Machine Learning
Best Practices for Machine Learning
Promote Intense Collaboration
Get Started Now—but Don’t Try to Boil the Ocean
Identify the Correct Success Metrics
Democratize Access to the Data
Automate as Much as Possible
Don’t Abandon Your Common Sense
Support Multiple Models at the Same Time
Do Careful Version Control of Your Code for Reproducibility
Monitor in Real Time
Case Studies
CaixaBank Case Study
DX Marketing Case Study
Looking Forward: Better Hardware and Automation
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