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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.7 (59)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.7 (59)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.
Table of Contents (20 chapters)
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18
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19
Index

Generative AI use cases

Let’s look at various use cases across different categories such as customer experience, employee production, and business operations efficiency, and learn how generative AI is enhancing existing AI capabilities and bringing forth entirely new possibilities:

Customer experience transformation

Generative AI is changing the game in how customers interact with businesses. Imagine you’re shopping online for shoes. A generative AI-based virtual assistant on the website greets you and helps you find the perfect pair based on your style and size preferences. It can even show you images of the shoes and answer any questions you have. Let’s look at some more such use cases where generative AI can help to improve customer experience and engagement:

  • Chatbots and virtual assistants: Imagine you visit a website and a chatbot pops up to help you out. Generative AI powers these chatbots. They can talk to you like humans, understand...
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