Procedia CIRP · 2018 · 22 citations · 9 references
Manufacturing industries are experiencing a technical paradigm shift that will change how they run their operations. Equipment and personnel generate an ever-increasing amount of data, and connectivity enables to utilize data to a larger extent. Connecting a machine is not a technical obstacle anymore, but with all available data, the challenge is to understand the requirements of data to support efficient decision-making. This paper will address the requirements of data by domain experts, in the context of more real-time data available. A focus group interview was performed, assessing the key factors of big data; volume, velocity, and variety of data.
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Heiner Lasi, Peter Fettke, Hans-Georg Kemper et al. · Business & Information Systems Engineering · 2014 · 4K citations
Five disruptive technology directions for 5G
Federico Boccardi, Robert W. Heath, Angel Lozano et al. · IEEE Communications Magazine · 2014 · 3.8K citations · Full text
Disruptive Technology Directions, 5G Networks, Wireless Communications +15
Big Data : The Management Revolution
アンドリュー マカフィー, エリック ブリニョルフソン, 裕子 有賀 · Harvard business review · 2013 · 3.6K citations
Wei Fan, Albert Bifet · ACM SIGKDD Explorations Newsletter · 2013 · 672 citations