Allan Alter
Research Subjects
Research Interests
Allan Alter has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- David Lavieri
Accenture Research in Boston
1 shared publication - H. James Wilson
Accenture Research in Boston
1 shared publication - Prashant Shukla
Accenture Research in Boston
1 shared publication
Latest Publications
- 20 November 2017
- Published by Emerald Publishing in Strategy & Leadership
- Vol. 45 (6) , 50-54
Machine reengineering: robots and people working smarter together
Purpose: The authors explore the potential of machine learning, computers employ that an algorithm to sort data, make decisions and then continuously assess and improve their functionality. They suggest that it be used to power a radical redesign of company processes that they call machine reengineering. Design/methodology/approach: The authors interpret a survey of more than a thousand corporate public agency IT professionals on their use of artificial intelligence and machine learning. Findings: Companies that embrace machine learning find that it adds value to the work product of their employees and provides companies with new capabilities. Practical implications: Working together with an intelligent machine, workers become custodians of powerfully smart tools, tools that personalize work to maximize their most productive ways of working. Originality/value: A guide to establishing a culture that empowers employees to thrive alongside intelligent machines.
- 20 November 2017
- Published by Emerald Publishing in Strategy & Leadership
- Vol. 45 (6) , 50-54
Machine reengineering: robots and people working smarter together
Purpose: The authors explore the potential of machine learning, computers employ that an algorithm to sort data, make decisions and then continuously assess and improve their functionality. They suggest that it be used to power a radical redesign of company processes that they call machine reengineering. Design/methodology/approach: The authors interpret a survey of more than a thousand corporate public agency IT professionals on their use of artificial intelligence and machine learning. Findings: Companies that embrace machine learning find that it adds value to the work product of their employees and provides companies with new capabilities. Practical implications: Working together with an intelligent machine, workers become custodians of powerfully smart tools, tools that personalize work to maximize their most productive ways of working. Originality/value: A guide to establishing a culture that empowers employees to thrive alongside intelligent machines.