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The Machine Learning Solutions Architect Handbook

You're reading from   The Machine Learning Solutions Architect Handbook Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805122500
Length 602 pages
Edition 2nd Edition
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Author (1):
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David Ping David Ping
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David Ping
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Table of Contents (19) Chapters Close

Preface 1. Navigating the ML Lifecycle with ML Solutions Architecture 2. Exploring ML Business Use Cases FREE CHAPTER 3. Exploring ML Algorithms 4. Data Management for ML 5. Exploring Open-Source ML Libraries 6. Kubernetes Container Orchestration Infrastructure Management 7. Open-Source ML Platforms 8. Building a Data Science Environment Using AWS ML Services 9. Designing an Enterprise ML Architecture with AWS ML Services 10. Advanced ML Engineering 11. Building ML Solutions with AWS AI Services 12. AI Risk Management 13. Bias, Explainability, Privacy, and Adversarial Attacks 14. Charting the Course of Your ML Journey 15. Navigating the Generative AI Project Lifecycle 16. Designing Generative AI Platforms and Solutions 17. Other Books You May Enjoy
18. Index

Building intelligent solutions with AI services

AI services can be used for building different intelligent solutions. To determine if you can use an AI service for your use case, you must identify the business and ML requirements and then evaluate if an AI service offers the functional and non-functional capabilities you are looking for. In this section, we will present several business use cases and architecture patterns that incorporate AI services.

Automating loan document verification and data extraction

When we apply for a loan from a bank, we need to provide the bank with physical copies of documentation such as tax returns, pay stubs, bank statements, and photo ID. Upon receiving those documents, the bank needs to verify them and enter the information from the documents into loan application systems for further processing. At the time of writing, many banks still perform this verification and data extraction process manually, which is time-consuming and error-prone...

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