Items related to Computational Judgment: Building and Governing AI Capability...
Computational Judgment: Building and Governing AI Capability in the Enterprise (The Coherent Mind Series) - Softcover
Synopsis
AI agents are already producing moments that feel almost magical. They write code, investigate failures, analyze evidence, use tools, and find useful ways forward through situations no one programmed step by step.
Teams are now trying to turn those impressive moments into reusable AI capability. They add better instructions, examples, skills, tools, data, safeguards, and human support so that useful performance can recur across new situations.
But as these systems grow, a fundamental question becomes harder to answer:
What kind of AI capability are we actually building?
Enterprises are building AI capability faster than they can understand what they are creating.
Computational Judgment offers a new way to see the problem. Its central claim is simple:
A model is trained. An agentic system develops.
The book begins with the familiar experience of teaching an AI agent—correcting it, showing it examples, giving it better information and tools, and watching its work improve. Some of that support can be made reusable. Yet more guidance does not always produce more capability, and the same model can perform brilliantly in one situation and poorly in another.
The book introduces computational judgment as a way to understand what happens when an agentic system works through situations whose path cannot be fully specified in advance.
From this perspective, AI capability is larger than the model, prompt, skill, or workflow. It can be deliberately built, improved through evidence, demonstrated across real situations, and responsibly governed.
Written for AI engineers, architects, product leaders, researchers, and anyone building serious enterprise AI systems, Computational Judgment provides a foundation for moving from impressive AI performance to capabilities that can be understood, developed, and trusted.
The next frontier is not better prompting. It is learning how to develop computational judgment.
"synopsis" may belong to another edition of this title.
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Computational Judgment (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. AI agents are already producing moments that feel almost magical. They write code, investigate failures, analyze evidence, use tools, and find useful ways forward through situations no one programmed step by step.Teams are now trying to turn those impressive moments into reusable AI capability. They add better instructions, examples, skills, tools, data, safeguards, and human support so that useful performance can recur across new situations.But as these systems grow, a fundamental question becomes harder to answer: What kind of AI capability are we actually building?Enterprises are building AI capability faster than they can understand what they are creating.Computational Judgment offers a new way to see the problem. Its central claim is simple: A model is trained. An agentic system develops.The book begins with the familiar experience of teaching an AI agent-correcting it, showing it examples, giving it better information and tools, and watching its work improve. Some of that support can be made reusable. Yet more guidance does not always produce more capability, and the same model can perform brilliantly in one situation and poorly in another.The book introduces computational judgment as a way to understand what happens when an agentic system works through situations whose path cannot be fully specified in advance.From this perspective, AI capability is larger than the model, prompt, skill, or workflow. It can be deliberately built, improved through evidence, demonstrated across real situations, and responsibly governed.Written for AI engineers, architects, product leaders, researchers, and anyone building serious enterprise AI systems, Computational Judgment provides a foundation for moving from impressive AI performance to capabilities that can be understood, developed, and trusted.The next frontier is not better prompting. It is learning how to develop computational judgment. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798171524951
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Computational Judgment: Building and Governing AI Capability in the Enterprise (The Coherent Mind Series)
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Computational Judgment
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Computational Judgment : Building and Governing AI Capability in the Enterprise
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Amazon Digital Services LLC - Kdp Sep 2026, 2026
ISBN 13: 9798171524951
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Taschenbuch. Condition: Neu. Neuware - AI agents are already producing moments that feel almost magical. They write code, investigate failures, analyze evidence, use tools, and find useful ways forward through situations no one programmed step by step.Teams are now trying to turn those impressive moments into reusable AI capability. They add better instructions, examples, skills, tools, data, safeguards, and human support so that useful performance can recur across new situations.But as these systems grow, a fundamental question becomes harder to answer: What kind of AI capability are we actually building Enterprises are building AI capability faster than they can understand what they are creating.Computational Judgment offers a new way to see the problem. Its central claim is simple: A model is trained. An agentic system develops.The book begins with the familiar experience of teaching an AI agent-correcting it, showing it examples, giving it better information and tools, and watching its work improve. Some of that support can be made reusable. Yet more guidance does not always produce more capability, and the same model can perform brilliantly in one situation and poorly in another.The book introduces computational judgment as a way to understand what happens when an agentic system works through situations whose path cannot be fully specified in advance.From this perspective, AI capability is larger than the model, prompt, skill, or workflow. It can be deliberately built, improved through evidence, demonstrated across real situations, and responsibly governed.Written for AI engineers, architects, product leaders, researchers, and anyone building serious enterprise AI systems, Computational Judgment provides a foundation for moving from impressive AI performance to capabilities that can be understood, developed, and trusted.The next frontier is not better prompting. It is learning how to develop computational judgment. Seller Inventory # 9798171524951
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Computational Judgment (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. AI agents are already producing moments that feel almost magical. They write code, investigate failures, analyze evidence, use tools, and find useful ways forward through situations no one programmed step by step.Teams are now trying to turn those impressive moments into reusable AI capability. They add better instructions, examples, skills, tools, data, safeguards, and human support so that useful performance can recur across new situations.But as these systems grow, a fundamental question becomes harder to answer: What kind of AI capability are we actually building?Enterprises are building AI capability faster than they can understand what they are creating.Computational Judgment offers a new way to see the problem. Its central claim is simple: A model is trained. An agentic system develops.The book begins with the familiar experience of teaching an AI agent-correcting it, showing it examples, giving it better information and tools, and watching its work improve. Some of that support can be made reusable. Yet more guidance does not always produce more capability, and the same model can perform brilliantly in one situation and poorly in another.The book introduces computational judgment as a way to understand what happens when an agentic system works through situations whose path cannot be fully specified in advance.From this perspective, AI capability is larger than the model, prompt, skill, or workflow. It can be deliberately built, improved through evidence, demonstrated across real situations, and responsibly governed.Written for AI engineers, architects, product leaders, researchers, and anyone building serious enterprise AI systems, Computational Judgment provides a foundation for moving from impressive AI performance to capabilities that can be understood, developed, and trusted.The next frontier is not better prompting. It is learning how to develop computational judgment. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798171524951
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