Items related to AI for Project Managers: Adoption, Governance, and...
AI for Project Managers: Adoption, Governance, and Accountability in AI-Assisted Delivery (The Project Management Practitioner Series) - Softcover
Book 2 of 2: The Project Management Practitioner Series
Synopsis
The shelf is full of books about what AI can do. This one is about who answers when it is wrong.
Artificial intelligence has arrived in project delivery faster than the governance around it. Registers are generated in seconds. Status reports assemble themselves. Estimates arrive already formatted. And the person who signs the deliverable still owns every word in it.
AI for Project Managers is written for practitioners who are accountable for work that AI has touched — project and program managers, portfolio leads, PMO directors, and the technical and commercial managers whose signature covers work drafted by somebody else. It assumes you already know how projects work, and that your organization is already using these tools, whether or not it has decided to.
This is not a prompt collection, not a tool review, and not exam preparation. Tools are named as rarely as possible, because anything written today about what a model can do will be wrong within a year. The governance questions will not be.
What you will take away
- Five failure signatures that follow from how these systems work rather than from what current ones get wrong — so you can assess a use you have never seen, on a tool that did not exist when this was written
- Why verification does not compose, and how an organization can review conscientiously at every stage and still put an unsupportable statement in front of a board
- Graduated autonomy calibrated to consequence rather than capability, with a five-rung ladder and the reversal-window rule that invalidates most agent deployments
- What must be logged, what must be disclosed, and when — including why the incidents that end careers are disclosure failures rather than accuracy failures
- Supplier and subcontractor AI use: the gap between what you have warranted to your client and what your subcontracts actually require
- What to do in the first hour, when a defect has already reached a client
Built to be used
Fourteen ready-to-use templates, collected in the appendix. A 30-day starting plan. Nine diagrams. Practical exercises designed for a live engagement rather than a classroom. Seventy-three review questions with worked answers, and a full glossary.
Written by a credentialed practitioner working in enterprise project and portfolio management, building governance frameworks across technology, construction, and infrastructure portfolios.
Book Two of the Project Management Mastery series. It stands alone — you do not need Book One to read it.
"synopsis" may belong to another edition of this title.
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AI for Project Managers (Paperback)
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Paperback. Condition: new. Paperback. The shelf is full of books about what AI can do. This one is about who answers when it is wrong. Artificial intelligence has arrived in project delivery faster than the governance around it. Registers are generated in seconds. Status reports assemble themselves. Estimates arrive already formatted. And the person who signs the deliverable still owns every word in it. AI for Project Managers is written for practitioners who are accountable for work that AI has touched - project and program managers, portfolio leads, PMO directors, and the technical and commercial managers whose signature covers work drafted by somebody else. It assumes you already know how projects work, and that your organization is already using these tools, whether or not it has decided to. This is not a prompt collection, not a tool review, and not exam preparation. Tools are named as rarely as possible, because anything written today about what a model can do will be wrong within a year. The governance questions will not be. What you will take awayFive failure signatures that follow from how these systems work rather than from what current ones get wrong - so you can assess a use you have never seen, on a tool that did not exist when this was writtenWhy verification does not compose, and how an organization can review conscientiously at every stage and still put an unsupportable statement in front of a boardGraduated autonomy calibrated to consequence rather than capability, with a five-rung ladder and the reversal-window rule that invalidates most agent deploymentsWhat must be logged, what must be disclosed, and when - including why the incidents that end careers are disclosure failures rather than accuracy failuresSupplier and subcontractor AI use: the gap between what you have warranted to your client and what your subcontracts actually requireWhat to do in the first hour, when a defect has already reached a client Built to be usedFourteen ready-to-use templates, collected in the appendix. A 30-day starting plan. Nine diagrams. Practical exercises designed for a live engagement rather than a classroom. Seventy-three review questions with worked answers, and a full glossary. Written by a credentialed practitioner working in enterprise project and portfolio management, building governance frameworks across technology, construction, and infrastructure portfolios. Book Two of the Project Management Mastery series. It stands alone - you do not need Book One to read it. 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 # 9798174306226
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AI for Project Managers
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AI for Project Managers: Adoption, Governance, and Accountability in AI-Assisted Delivery (The Project Management Practitioner Series)
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AI for Project Managers
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AI for Project Managers (Paperback)
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Paperback. Condition: new. Paperback. The shelf is full of books about what AI can do. This one is about who answers when it is wrong. Artificial intelligence has arrived in project delivery faster than the governance around it. Registers are generated in seconds. Status reports assemble themselves. Estimates arrive already formatted. And the person who signs the deliverable still owns every word in it. AI for Project Managers is written for practitioners who are accountable for work that AI has touched - project and program managers, portfolio leads, PMO directors, and the technical and commercial managers whose signature covers work drafted by somebody else. It assumes you already know how projects work, and that your organization is already using these tools, whether or not it has decided to. This is not a prompt collection, not a tool review, and not exam preparation. Tools are named as rarely as possible, because anything written today about what a model can do will be wrong within a year. The governance questions will not be. What you will take awayFive failure signatures that follow from how these systems work rather than from what current ones get wrong - so you can assess a use you have never seen, on a tool that did not exist when this was writtenWhy verification does not compose, and how an organization can review conscientiously at every stage and still put an unsupportable statement in front of a boardGraduated autonomy calibrated to consequence rather than capability, with a five-rung ladder and the reversal-window rule that invalidates most agent deploymentsWhat must be logged, what must be disclosed, and when - including why the incidents that end careers are disclosure failures rather than accuracy failuresSupplier and subcontractor AI use: the gap between what you have warranted to your client and what your subcontracts actually requireWhat to do in the first hour, when a defect has already reached a client Built to be usedFourteen ready-to-use templates, collected in the appendix. A 30-day starting plan. Nine diagrams. Practical exercises designed for a live engagement rather than a classroom. Seventy-three review questions with worked answers, and a full glossary. Written by a credentialed practitioner working in enterprise project and portfolio management, building governance frameworks across technology, construction, and infrastructure portfolios. Book Two of the Project Management Mastery series. It stands alone - you do not need Book One to read it. 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 # 9798174306226
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AI for Project Managers : Adoption, Governance, and Accountability in AI-Assisted Delivery
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Taschenbuch. Condition: Neu. Neuware - The shelf is full of books about what AI can do. This one is about who answers when it is wrong. Artificial intelligence has arrived in project delivery faster than the governance around it. Registers are generated in seconds. Status reports assemble themselves. Estimates arrive already formatted. And the person who signs the deliverable still owns every word in it. AI for Project Managers is written for practitioners who are accountable for work that AI has touched - project and program managers, portfolio leads, PMO directors, and the technical and commercial managers whose signature covers work drafted by somebody else. It assumes you already know how projects work, and that your organization is already using these tools, whether or not it has decided to. This is not a prompt collection, not a tool review, and not exam preparation. Tools are named as rarely as possible, because anything written today about what a model can do will be wrong within a year. The governance questions will not be. What you will take away- Five failure signatures that follow from how these systems work rather than from what current ones get wrong - so you can assess a use you have never seen, on a tool that did not exist when this was written- Why verification does not compose, and how an organization can review conscientiously at every stage and still put an unsupportable statement in front of a board- Graduated autonomy calibrated to consequence rather than capability, with a five-rung ladder and the reversal-window rule that invalidates most agent deployments- What must be logged, what must be disclosed, and when - including why the incidents that end careers are disclosure failures rather than accuracy failures- Supplier and subcontractor AI use: the gap between what you have warranted to your client and what your subcontracts actually require- What to do in the first hour, when a defect has already reached a client Built to be usedFourteen ready-to-use templates, collected in the appendix. A 30-day starting plan. Nine diagrams. Practical exercises designed for a live engagement rather than a classroom. Seventy-three review questions with worked answers, and a full glossary. Written by a credentialed practitioner working in enterprise project and portfolio management, building governance frameworks across technology, construction, and infrastructure portfolios. Book Two of the Project Management Mastery series. It stands alone - you do not need Book One to read it. Seller Inventory # 9798174306226
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