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Solutions Architect's Handbook

Solutions Architect's Handbook - Third Edition

By : Saurabh Shrivastava, Neelanjali Srivastav
4.6 (57)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.6 (57)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Build a strong foundation in solution architecture and excel in your career 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. From large language models and generative AI to deep learning innovations, these cutting-edge advancements are shaping the future of technology. Key topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient, secure architectures remain essential today. This book covers both emerging and foundational technologies, guiding you through solution architecture design with key principles and providing the knowledge you need to succeed as a Solutions Architect. It also sharpens your soft skills, providing career-accelerating techniques to stay ahead. By the end of this book, you will be able to harness cutting-edge technologies, apply 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
Other Books You May Enjoy
19
Index

Machine Learning Architecture

In the previous chapter, you learned about ingesting and processing big data and getting insights to understand your business. In the traditional way of running a business, the organization’s decision maker looks at past data and uses their experience to plot the future course of the company’s direction. It’s not just about setting up the business vision but also improving the end user experience by predicting and fulfilling their needs or automating day-to-day decision-making activities such as loan approval.

However, with the sheer amount of data available now, it’s become difficult for the human brain to process all data and predict the future. That’s where artificial intelligence (AI) and machine learning (ML) come in. AI is the broader concept of machines carrying out tasks in smart ways like Siri and Alexa to understand your questions and give answers, and ML is a specific subset of AI that involves teaching...

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