null

Machine Learning: Architecture in the Age of Artificial Intelligence

  • 2024-07-04
  • 12.01MB
  • Points it Requires : 1

Book Title Machine Learning: Architecture in the Age of Artificial Intelligence The industry is changing. A new era is rapidly approaching when computers will not only be tools for data creation, manipulation and management, but, empowered by artificial intelligence, they will themselves become agents of design. Architects need a strategy to address the opportunities and threats presented by these emerging capabilities, or risk being left behind. Phil Bernstein, the most renowned technology expert in architecture, offers that strategy. Divided into three key parts - processes, relationships and outcomes - machine learning proposes a way to predict, understand and manage a world in which computers often enhance but may also replace knowledge workers such as architects. With this insight, practices can make the most of new technologies to future-proof their business. Featured chapters are as follows: Professional Literacy Tools and Technology Law, Policy and Risk Delivery, Means and Methods Create, Use and Manage Data Value Propositions and Business Models

unfold

You Might Like

Uploader
sigma
 

Recommended ContentMore

Popular Components

Just Take a LookMore

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews


Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京ICP证060456号 京ICP备10001474号-1 电信业务审批[2006]字第258号函 京公网安备 11010802033920号
×