Immagine dell'autore.
40+ opere 1,906 membri 19 recensioni 3 preferito

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

Comprende i nomi: Thomas H.Davenport, Thomas H. Davenport

Comprende anche: Thomas Davenport (2)

Opere di Thomas H. Davenport

Pense fora do quadrado (2005) 3 copie
Analytics and Big Data (2014) 2 copie
Stratégie Big Data (2014) 1 copia

Opere correlate

Harvard Business Review on What Makes a Leader (2001) — Collaboratore — 89 copie
Harvard Business Review: December 2013 (Focused Leaders) (2013) — Collaboratore — 2 copie

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

Both authors have solid industry credentials, and each of them has developed significant amounts of experience and research on the topic of artificial intelligence, and analytics as well.

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)
 
Segnalato
InfoChallenges | Jul 8, 2023 |
What I liked most about this overview of Big Data is that it shows the potential without participating in the hyperbole. Davenport is an established expert in this field. This book covers what a modern practitioner or business leader needs to know, including the evolution, technology stacks, skill sets and, most importantly, the application.
 
Segnalato
jpsnow | 3 altre recensioni | May 6, 2018 |
Winners and losers in the age of smart machines
 
Segnalato
jhawn | Jul 31, 2017 |

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Autori correlati

Statistiche

Opere
40
Opere correlate
2
Utenti
1,906
Popolarità
#13,504
Voto
½ 3.4
Recensioni
19
ISBN
105
Lingue
9
Preferito da
3

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