Thomas H. Davenport
Autore di Working Knowledge: How Organizations Manage What They Know
Sull'Autore
Thomas H. Davenport is the Director of the Andersen Consulting Institute for Strategic Change and a Professor of Information Management at Boston University
Opere di Thomas H. Davenport
Thinking for a Living: How to Get Better Performances And Results from Knowledge Workers (2005) 178 copie
L' economia dell'attenzione. Come gestire una risorsa cruciale per affrontare il nuovo corso del business (2001) 170 copie
Competing on Analytics: Updated, with a New Introduction: The New Science of Winning (2017) 28 copie
The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge) (2018) 16 copie
Strategic Management in the Innovation Economy: Strategic Approaches and Tools for Dynamic Innovation Capabilities (2006) 12 copie
Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data (FT Press Operations Management) (2012) 11 copie
Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) (2022) 9 copie
Sloan management review 8 copie
Il sapere al lavoro: come le aziende possono generare, codificare e trasferire conoscenza (2000) 5 copie
Analytics in Healthcare and the Life Sciences: Strategies, Implementation Methods, and Best Practices (FT Press… (2013) 3 copie
The Complete Guide to Business Analytics (Collection) (FT Press Operations Management) (2012) 2 copie
Information Politics 1 copia
Reengenharia de Processos 1 copia
Opere correlate
Etichette
Informazioni generali
- Data di nascita
- 1954-10-17
- Sesso
- male
- Nazionalità
- USA
- Istruzione
- Harvard University
- Attività lavorative
- academic
author
knowledge management researcher - Organizzazioni
- Babson College
Utenti
Recensioni
Liste
Big Data (1)
Premi e riconoscimenti
Potrebbero anche piacerti
Autori correlati
Statistiche
- Opere
- 40
- Opere correlate
- 2
- Utenti
- 1,906
- Popolarità
- #13,504
- Voto
- 3.4
- Recensioni
- 19
- ISBN
- 105
- Lingue
- 9
- Preferito da
- 3
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.… (altro)