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MLSEV Virtual. ML: Business Perspective

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BigML, Inc
BigML, Inc

What is Machine Learning: A Business Perspective. A Gentle Introduction to Machine Learning, by Enrique Dans, professor of innovation at IE Business School. *MLSEV 2020: Virtual Conference.

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What is machine learning? A business perspective BUSINESS SCHOOL Enrique Dans http://www.enriquedans.com March 26, 2020
Texto My prediction is that the same thing will happen with blood sugar levels and other parameters: orientative devices that carry out constant and nonintrusive monitoring, continuously generating data that will be analyzed in real time in the cloud using machine learning. Such data would allow algorithms to carry out a preventive diagnosis and, if necessary, send patients to the doctor for more rigorous monitoring. This would undoubtedly give medicine much more data to work with, without pretending to deploy sophisticated instrumentation with strict levels of precision in environments that simply do not allow it. It's not about getting your doctor to look at your Fitbit chart: it’s about machine learning systems being able to use low accuracy readings of your devices as indicators to tell you when you should see a doctor. The future of medicine is digital. But not necessarily FDA- approved.
ENRIQUE DANS
ENRIQUE DANS
Rules Data Classic Programming Answers Reglas Datos Machine learningRespuestas
Rules Data Classic Programming Answers Rules Data Machine learningAnswers
The Myth of the Data Scientist
MLaaS
Enrique Dans
THE
REAL
TRUTH
ENRIQUE DANS
Over the next decade, AI won’t replace managers, but managers who use AI will replace those who don’t
ENRIQUE DANS Machine learning techniques may have been used for years, but recently there has been an explosion in their applications. In fact, in a recent Q3 earnings call, Google CEO Sundar Pichai said “Machine learning is a core, transformative way by which we’re re-thinking how we’re doing everything.” And they’re far from the only business making that claim. In the past, successful use of machine learning algorithms required bespoke algorithms and huge R&D budgets, but all that is changing. IBM Watson, Microsoft Azure, Amazon and Alibaba all launched turnkey cloud based machine learning SaaS solutions in 2015. At the same time startups like Idibon, MetaMind, Dato and MonkeyLearn have built machine learning products that companies can take advantage of. 
Enrique Dans
Enrique Dans
ISOMORPHISM $1.000.000
Enrique Dans
Enrique Dans
Doubts? Questions? Clarifications? Insults?… Join the conversation… enrique.dans@ie.edu enriquedans.com @edans medium.com/enrique-dans facebook.com/enriquedans linkedin.com/in/edans
Doubts? Questions? Clarifications? Insults?… Enjoy the conversation… enrique.dans@ie.edu enriquedans.com @edans medium.com/enrique-dans facebook.com/enriquedans linkedin.com/in/edans

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MLSEV Virtual. ML: Business Perspective

  • 1. What is machine learning? A business perspective BUSINESS SCHOOL Enrique Dans http://www.enriquedans.com March 26, 2020
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  • 16. Texto My prediction is that the same thing will happen with blood sugar levels and other parameters: orientative devices that carry out constant and nonintrusive monitoring, continuously generating data that will be analyzed in real time in the cloud using machine learning. Such data would allow algorithms to carry out a preventive diagnosis and, if necessary, send patients to the doctor for more rigorous monitoring. This would undoubtedly give medicine much more data to work with, without pretending to deploy sophisticated instrumentation with strict levels of precision in environments that simply do not allow it. It's not about getting your doctor to look at your Fitbit chart: it’s about machine learning systems being able to use low accuracy readings of your devices as indicators to tell you when you should see a doctor. The future of medicine is digital. But not necessarily FDA- approved.
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  • 30. The Myth of the Data Scientist
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  • 53. MLaaS
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  • 59. THE
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  • 61. TRUTH
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  • 70. Over the next decade, AI won’t replace managers, but managers who use AI will replace those who don’t
  • 71. ENRIQUE DANS Machine learning techniques may have been used for years, but recently there has been an explosion in their applications. In fact, in a recent Q3 earnings call, Google CEO Sundar Pichai said “Machine learning is a core, transformative way by which we’re re-thinking how we’re doing everything.” And they’re far from the only business making that claim. In the past, successful use of machine learning algorithms required bespoke algorithms and huge R&D budgets, but all that is changing. IBM Watson, Microsoft Azure, Amazon and Alibaba all launched turnkey cloud based machine learning SaaS solutions in 2015. At the same time startups like Idibon, MetaMind, Dato and MonkeyLearn have built machine learning products that companies can take advantage of. 
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  • 81. Doubts? Questions? Clarifications? Insults?… Join the conversation… enrique.dans@ie.edu enriquedans.com @edans medium.com/enrique-dans facebook.com/enriquedans linkedin.com/in/edans
  • 82. Doubts? Questions? Clarifications? Insults?… Enjoy the conversation… enrique.dans@ie.edu enriquedans.com @edans medium.com/enrique-dans facebook.com/enriquedans linkedin.com/in/edans