Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI Solutions

Mishra, Abhishek

  • 出版商: Apress
  • 出版日期: 2024-03-13
  • 定價: $1,985
  • 售價: 9.5$1,886
  • 貴賓價: 9.0$1,787
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868801570
  • ISBN-13: 9798868801570
  • 相關分類: JVM 語言人工智慧Design Pattern
  • 立即出貨 (庫存=1)



Understand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization's needs and drive innovation in the era of intelligent automation.

This book begins with an overview of scalable AI systems and the importance of design patterns in creating robust intelligent solutions. It covers fundamental concepts and techniques for achieving scalability in AI systems, including data engineering practices and strategies. The book also addresses scalable algorithms, models, infrastructure, and architecture considerations. Additionally, it discusses deployment, productionization, real-time and streaming data, edge computing, governance, and ethics in scalable AI. Real-world case studies and best practices are presented, along with insights into future trends and emerging technologies.

The book focuses on scalable AI and design patterns, providing an understanding of the challenges involved in developing AI systems that can handle large amounts of data, complex algorithms, and real-time processing. By exploring scalability, you will be empowered to design and implement AI solutions that can adapt to changing data requirements.

What You Will Learn

  • Develop scalable AI systems that can handle large volumes of data, complex algorithms, and real-time processing
  • Know the significance of design patterns in creating robust intelligent solutions
  • Understand scalable algorithms and models to handle extensive data and computing requirements and build scalable AI systems
  • Be aware of the ethical implications of scalable AI systems

Who This Book Is For

AI practitioners, data scientists, and software engineers with intermediate-level AI knowledge and experience




- 開發能夠處理大量數據、複雜算法和實時處理的可擴展人工智慧系統
- 了解設計模式在創建強大智能解決方案中的重要性
- 理解可擴展算法和模型,以處理大量數據和計算需求,並構建可擴展的人工智慧系統
- 了解可擴展人工智慧系統的倫理問題



Abhishek Mishra is a seasoned data science and analytics professional with extensive expertise in information technology services and products. With a remarkable 15-year track record, Abhishek has leveraged his data science knowledge and engineering skills to analyze vast datasets, interpret findings, and communicate actionable insights to drive effective business decision making. He has successfully led global analytics teams, developed cutting-edge machine learning solutions, and formulated data analytics strategies for esteemed organizations such as Marsh and McLennan, Fiserv India Pvt Ltd, and Deloitte Inc.


Abhishek Mishra 是一位經驗豐富的數據科學和分析專家,專注於資訊技術服務和產品。憑藉著15年的卓越成績,Abhishek運用他的數據科學知識和工程技能來分析大量數據集,解釋發現並傳達可行的見解,以推動有效的業務決策。他成功領導全球分析團隊,開發尖端的機器學習解決方案,並為Marsh and McLennan、Fiserv India Pvt Ltd和Deloitte Inc等知名組織制定數據分析策略。