The Decision Intelligence Handbook
Practical Steps for Evidence-Based Decisions in a Complex World
Published on 14. July 2023
Book
Paperback/Softback
250 pages
978-1-0981-3965-0 (ISBN)
Description
Decision intelligence (DI) has been widely named as a top technology trend for several years, and the Gartner Group reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies.
Until now, there has been little practical guidance for organizations to formalize decision-making and integrate their decisions with data.
With this book, authors L.Y. Pratt and N.E. Malcolm fill this gap. They present a step-by-step method for integrating technology into decisions that bridge from actions to desired outcomes, with a focus on systems that act in an advisory, human-in-the-loop capacity to decision makers.
This handbook addresses three widespread data-driven decision-making problems:
How can decision makers use data and technology to ensure desired outcomes?
How can technology teams communicate effectively with decision makers to maximize the return on their data and technology investments?
How can organizational decision makers assess and improve their decisions over time?
Until now, there has been little practical guidance for organizations to formalize decision-making and integrate their decisions with data.
With this book, authors L.Y. Pratt and N.E. Malcolm fill this gap. They present a step-by-step method for integrating technology into decisions that bridge from actions to desired outcomes, with a focus on systems that act in an advisory, human-in-the-loop capacity to decision makers.
This handbook addresses three widespread data-driven decision-making problems:
How can decision makers use data and technology to ensure desired outcomes?
How can technology teams communicate effectively with decision makers to maximize the return on their data and technology investments?
How can organizational decision makers assess and improve their decisions over time?
More details
Language
English
Place of publication
Sebastopol
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 232 mm
Width: 179 mm
Thickness: 20 mm
Weight
500 gr
ISBN-13
978-1-0981-3965-0 (9781098139650)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
L. Y. Pratt | N. E. Malcolm
Decision Intelligence Handbook
E-Book
06/2023
O'Reilly
€50.49
Available for download
L. Y. Pratt | N. E. Malcolm
Decision Intelligence Handbook
E-Book
06/2023
O'Reilly
€50.49
Available for download
Persons
Lorien Pratt, Ph.D., Chief Scientist at Quantellia, has been delivering artificial intelligence and machine learning solutions for her clients for over 30 years. These include the Human Genome Project, the Colorado Bureau of Investigation, the US Department of Energy, SAP, and the Administrative Office of the US Courts. She is a machine learning pioneer, having led the teams that invented Inductive Transfer and Decision Intelligence (DI). Pratt received the CAREER award from the National Science Foundation, an innovation award from Microsoft, and the Exemplary Research Award from the Colorado Advanced Software Institute (CASI). Formerly a computer science professor at the Colorado School of Mines, Pratt has appeared multiple times on NPR, has given two TEDx talks, and is a respected AI and DI speaker worldwide. Recognized by the Women Innovators and Inventors Project, Pratt continues to push the boundaries of technology as one of the creators and evangelists for Decision Intelligence, which is the next phase of Artificial Intelligence, and which will define how AI is used in the 21st century. Nadine E. Malcolm, COO at Quantellia, has over 25 years of experience managing and delivering enterprise software, data science, machine learning, and Decision Intelligence projects. Malcolm has spent five years on the Quantellia executive team with Dr. Pratt, continuously improving and developing best practices for both our Decision Intelligence and Agile AI methodologies and delivering AI and DI projects including:
Data science and data management on several large enterprise projects to improve decision-making in the telecommunications industry. Machine learning to develop a digital twin of retiring key employees for a small financial company. Machine learning to better understand medical device failures. Machine learning for computer security for a medium-sized computer security company. Machine learning for customer retention for a community bank. Establishment of a Decision Intelligence center of excellence for a G7 national bank. A NASA Decision Intelligence STTR.
Malcolm holds a BS in Mathematics from MIT and an MS in Computer Science from USC.
Data science and data management on several large enterprise projects to improve decision-making in the telecommunications industry. Machine learning to develop a digital twin of retiring key employees for a small financial company. Machine learning to better understand medical device failures. Machine learning for computer security for a medium-sized computer security company. Machine learning for customer retention for a community bank. Establishment of a Decision Intelligence center of excellence for a G7 national bank. A NASA Decision Intelligence STTR.
Malcolm holds a BS in Mathematics from MIT and an MS in Computer Science from USC.