Stefan Debortoli

386 posts

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Stefan Debortoli

Stefan Debortoli

@sdebortoli

🛠 Group COO of the prosperity company (prev. @Reachbird_io, @uni_li, @SAP) 🎓 @uni_li / PhD in Information Systems

Austria / Liechtenstein Katılım Mart 2010
621 Takip Edilen265 Takipçiler
Stefan Natter 🟡
Stefan Natter 🟡@natterstefan·
I still don't know what to do with stefan.js. 🤔
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Chris Haschek
Chris Haschek@geek_at·
Interesting, I can see when somebody came home just by monitoring the temperature of the garage. So why did I install the reed switches on the garage doors again?
Chris Haschek tweet media
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Stefan Debortoli
Stefan Debortoli@sdebortoli·
Congratulations to the team of Tradico!
finance.li@FL_finance

. @BankFrick kauft das liechtensteinische Jungunternehmen Tradico auf. Das Fintech-Unternehmen für eine bankunabhängige Wareneinkaufsfinanzierung arbeitet seit 2015 mit Bank Frick zusammen. Mit der Übernahme will Bank Frick ihre Fintech-Kompetenz stärken. fcld.ly/gnq99kv

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Stefan Debortoli
Stefan Debortoli@sdebortoli·
@ajlkn Congratulations! I’m a huge fan of your product! Can you maybe talk a bit about your expenses, especially infrastructure costs?
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Stefan Debortoli retweetledi
Mat Velloso
Mat Velloso@matvelloso·
Difference between machine learning and AI: If it is written in Python, it's probably machine learning If it is written in PowerPoint, it's probably AI
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AWS Support
AWS Support@AWSSupport·
@dcaprani Hi, Darren. If you still require help with your CodeCommit resources, this article lists the different available options: amzn.to/2DnEpNs ^CM
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Andreas Klinger 🦾
Andreas Klinger 🦾@andreasklinger·
Imho: In 2018 it's no longer a question if you work remote or not. You already work remote It's the logical evolution of digital work You replied to that email on the commute, you worked from that cafe yesterday, you worked while traveling,… The only question left is how much
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Manuel J. A. Eugster
Manuel J. A. Eugster@mjaeugster·
Important rule of thumb in the life of a data scientist: "Any piece of data or evidence that looks interesting or unusual is probably wrong!" Twyman's Law #datascience
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