How to talk to data scientists : a guide for executives / Jeremy Elser, PhD. [electronic resource]

By:

Elser, Jeremy [Author]

Material type: Text

TextSeries: Collaborative intelligence collectionPublication details: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, (c)2021.Edition: First editionDescription: 1 online resource (116 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781637420980

Subject(s):

Genre/Form:

Electronic books.

LOC classification:

HD57.7

Online resources:

Available additional physical forms:

Contents:

Chapter 1. Introduction -- Chapter 2. What is data science -- Chapter 3. The master table -- Chapter 4. Mistakes machines make -- Chapter 5. Mistakes business analysts make -- Chapter 6. Mistakes data scientists make -- Chapter 7. How to properly deploy data science -- Chapter 8. Playbook.

Abstract: Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change-- big data, data science, machine learning, deep learning, and artificial intelligence -the distraction from fundamentals manifests as a predictable trajectory from exuberant program launch, to stagnation, to awkward decommissioning. After architecting data science programs at over a dozen companies, across sectors and scales, Dr. Elser has formulated a reliable framework for successful data science programs. Surprisingly, software and algorithms are secondary. Rather, the key is understanding how the available data aligns to the problem to be solved. The business executive understands the problem sufficiently to enforce this alignment, while data scientists act on it. But executives tend to underestimate their role and thereby fail to construct the necessary connective tissue with their data scientists. This book provides business executives with a concrete exercise, populating a "Master Table," accessible to nontechnical managers and data scientists, which serves as the connective tissue between them. Rather than teach a diluted version of data science, this book describes how to start projects and how to detect and fix problems--the moments when leadership is critical. Insights are provided through real world examples, including a Playbook featuring common projects. The intended audience is executives (C-suite through VP). However, ambitious mid-level managers and data scientists will also benefit.

Item type: Online Book

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	URL	Status	Date due	Barcode
Online Book	G. Allen Fleece Library	Non-fiction	HD57.7 (Browse shelf(Opens below))	Link to resource	Available		9781637420980

Access restricted to authorized users and institutions.

Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change-- big data, data science, machine learning, deep learning, and artificial intelligence -the distraction from fundamentals manifests as a predictable trajectory from exuberant program launch, to stagnation, to awkward decommissioning. After architecting data science programs at over a dozen companies, across sectors and scales, Dr. Elser has formulated a reliable framework for successful data science programs. Surprisingly, software and algorithms are secondary. Rather, the key is understanding how the available data aligns to the problem to be solved. The business executive understands the problem sufficiently to enforce this alignment, while data scientists act on it. But executives tend to underestimate their role and thereby fail to construct the necessary connective tissue with their data scientists. This book provides business executives with a concrete exercise, populating a "Master Table," accessible to nontechnical managers and data scientists, which serves as the connective tissue between them. Rather than teach a diluted version of data science, this book describes how to start projects and how to detect and fix problems--the moments when leadership is critical. Insights are provided through real world examples, including a Playbook featuring common projects. The intended audience is executives (C-suite through VP). However, ambitious mid-level managers and data scientists will also benefit.

https://lib.ciu.edu/copyright-request-form

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Description based on PDF viewed 07/20/2021.

There are no comments on this title.

to post a comment.