首页|Research Conducted at Aalborg University Has Provided New Information about Mach ine Learning (Speeding Up Explorative Bpm With Lightweight It: the Case of Machi ne Learning)
Research Conducted at Aalborg University Has Provided New Information about Mach ine Learning (Speeding Up Explorative Bpm With Lightweight It: the Case of Machi ne Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Aalborg, Denmark, by NewsRx correspondents, research stated, "In the modern digital age, companies n eed to be able to quickly explore the process innovation affordances of digital technologies. This includes exploration of Machine Learning (ML), which when emb edded in processes can augment or automate decisions." Financial support for this research came from Manufacturing Academy of Denmark. Our news journalists obtained a quote from the research from Aalborg University, "BPM research suggests using lightweight IT (Bygstad, Journal of Information Te chnology, 32(2), 180-193 2017) for digital process innovation, but existing rese arch provides conflicting views on whether ML is lightweight or heavyweight. We therefore address the research question ‘How can Lightweight IT contribute to ex plorative BPM for embedded ML?' by analyzing four action cases from a large Dani sh manufacturer. We contribute to explorative BPM by showing that lightweight ML considerably speeds up opportunity assessment and technical implementation in t he exploration process thus reducing process innovation latency."
AalborgDenmarkEuropeCyborgsEmerg ing TechnologiesMachine LearningAalborg University
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