
Konstantin Hopf
@KonstantinHopf
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Researcher & Lecturer at @uniWIAI @uni_bamberg_of | Use of #MachineLearning based #IS for better #DecisionMaking, applications in #energy #GreenIS
Bamberg
Joined May 2017
RT @DOAGeV: 🎥 Neues DOAG.tv-Interview 🎙️ #MachineLearning und das #KI-Produktivitätsparadox – @KonstantinHopf und @BenjaminLinnik tauchen e….
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Just received my hard copy of CMR's 66.1 issue with our article on Organizational Implementation of #AI: As a lesson from 55 projects, we advise firms to actively manage the paradox between #DataScientists' #craft and #managers' mechanical work perspectives
We are pleased to announce our latest 66.1 Fall issue! Featuring works on #AI implementation, firm responses to emerging #technology, #blockchain in international business, and more. Available at @Sage_Publishing today:
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RT @uni_bamberg_of: Wie können #Unternehmen mit #KI Wert generieren? Studie deckt drei grundlegende Mechanismen u. ihre notwendigen Bedingu….
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A warm invitation to the following presentations at the Nuremberg Data Science & AI Meetup series:
meetup.com
NĂĽrnberg Data Science is a group for talented and experienced data scientists interested in sharing ideas, knowledge and expertise. We believe in open exchange, practical insights, and learning from...
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Amazing opportunity to share our #research with practitioners: I could present our #process model of #ML #value creation in organizations at the Nuremberg Data Science & AI #Meetup - thanks @sprangerlukas and @BenjaminLinnik for making this possible and attracting ~50 ML experts!
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Many installed #heatpumps can save significant #energy with just a few tweaks during an expert inspection. Our recent study points to the power of #smartmeter data to select potential high-saver installations: Efficient use of energy and human labor, see
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RT @LedigChr: 🚨 2x fully funded PhD/postdoc positions in my group @uni_bamberg_of. If you’re excited about doing impactful, applied ML rese….
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You wonder, how to leverage #machinelearning to create #business #value? Our latest study found three distinct mechanisms of #ML value creation in organizations. Successful projects shift between #knowledge creation, task #augmentation and #automation. See
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