Machine Learning : Architecture in the age of Artificial Intelligence

Machine Learning : Architecture in the age of Artificial Intelligence`The advent of machine learning based AI systems demandsthat our industry does not just share toys, but builds a new sandbox in whichto play with them.' Phil BernsteinThe profession is changing. A new era is rapidly approachingwhen computers will not merely be instruments for data creation, manipulationand management, but, empowered by artificial intelligence, they will becomeagents of design themselves. Architects need a strategy for facing the

`The advent of machine learning-based AI systems demandsthat our industry does not just share toys, but builds a new sandbox in whichto play with them.' - Phil Bernstein�The profession is changing. A new era is rapidly approachingwhen computers will not merely be instruments for data creation, manipulationand management, but, empowered by artificial intelligence, they will becomeagents of design themselves. Architects need a strategy for facing the opportunitiesand 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 foranticipating, understanding and managing a world in which computers oftenaugment, but may well also supplant, knowledge workers like architects. Armed withthis insight, practices can take full advantage of the new technologies tofuture-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.