Thomas H. Davenport
Autor de Working Knowledge: How Organizations Manage What They Know
Sobre El Autor
Thomas H. Davenport is the Director of the Andersen Consulting Institute for Strategic Change and a Professor of Information Management at Boston University
Obras de Thomas H. Davenport
Thinking for a Living: How to Get Better Performances And Results from Knowledge Workers (2005) 179 copias
Ecología de la información : por qué la tecnología no es suficiente para lograr el éxito en la era de la… (1997) 104 copias
Competing on Analytics: Updated, with a New Introduction: The New Science of Winning (2017) 31 copias
The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge) (2018) 18 copias
Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data (FT Press Operations Management) (2012) 12 copias
Strategic Management in the Innovation Economy: Strategic Approaches and Tools for Dynamic Innovation Capabilities (2006) 12 copias
Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) (2022) 9 copias
Sloan management review 8 copias
Il sapere al lavoro: come le aziende possono generare, codificare e trasferire conoscenza (2000) 5 copias
Analytics in Healthcare and the Life Sciences: Strategies, Implementation Methods, and Best Practices (FT Press… (2013) 3 copias
The Complete Guide to Business Analytics (Collection) (FT Press Operations Management) (2012) 2 copias
Information Politics 1 copia
Reengenharia de Processos 1 copia
Obras relacionadas
Etiquetado
Conocimiento común
- Fecha de nacimiento
- 1954-10-17
- Género
- male
- Nacionalidad
- USA
- Educación
- Harvard University
- Ocupaciones
- academic
author
knowledge management researcher - Organizaciones
- Babson College
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Big Data (1)
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- 3.4
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When they tick off three or four things you should know about an aspect of AI, I think it's safe to assume that their casual way of ticking off a few items, belies the amount of thought and work that went in to generating each item. Many times I have added digits in my print margin so I can reflect more deeply on these enumerations later.
If I were able to influence a next edition, I would find it easier to digest the material if more lists were used. Example: instead of sentences in a paragraph, something like (summarizing their points):
Three ways to address the top challenges in AI:
1. Plan on deployment from the start.
2. Put someone in charge of the entire process of development and deployment, such as a product manager for AI-based systems and processes.
3. Assign data scientists and product managers who work closely with stakeholders on the business side from the beginning.… (más)