Machine reengineering: robots and people working smarter together
| Autor: | David Lavieri, H. James Wilson, Allan E. Alter, Prashant Shukla |
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| Rok vydání: | 2017 |
| Předmět: |
Value (ethics)
Knowledge management Computer science business.industry Strategy and Management media_common.quotation_subject 05 social sciences Business process reengineering Work (electrical) Originality 0502 economics and business Agency (sociology) sort Robot 050211 marketing Operations management business 050203 business & management Custodians media_common |
| Zdroj: | Strategy & Leadership. 45:50-54 |
| ISSN: | 1087-8572 |
| DOI: | 10.1108/sl-09-2017-0089 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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