Machine Learning

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‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein

‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein

The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture’s best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on:

• Professionalism
• Tools and technologies
• Laws, policy and risk
• Delivery, means and methods
• Creating, consuming and curating data
• Value propositions and business models.

Obsah

Acknowledgments, Introduction, Foreword by Mark Greaves, 1 – PROCESS 1.1 Tools and technologies, 1.2 What is AI? 1.3 Professional Information and Knowledge 1.4 AI and Process Transformation in Design, and Beyond 1.5 Scopes of Service 1.6 Delivery Means and Methods 2 - RELATIONSHIPS 2.1 Economics 2.2 Laws Policy, and Risk 2.3 Professionalism 2.4 Education, Certification, and Training 3 - RESULTS 3.1 Objectives of design 3.2 Creating, Consuming and Curating Data 3.3 Tasks, Automation 3.4 Labour of Design 3.5 Value Propositions and Business Models Index Bibliography