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What is machine
learning?
A business perspective
BUSINESS SCHOOL
Enrique Dans
http://www.enriquedans.com
Breukelen - July 8, 2019
Machine Learning
Summer School in
The Netherlands
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
The Myth
of the Data
Scientist
MLaaS
Enrique Dans
THE
REAL
TRUTH
ENRIQUE DANS
http://g.co/teachablemachine
ENRIQUE DANS
ENRIQUE DANS
ENRIQUE DANS
ENRIQUE DANS
ENRIQUE DANS
ENRIQUE DANS
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. 
Over the next decade, AI
won’t replace managers,
but managers who use
AI will replace those
who don’t
Enrique Dans
Enrique Dans
ISOMORPHISM
$1.000.000
Enrique Dans
Enrique Dans
Are
YOUready for this?
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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DutchMLSchool. Machine Learning: A Business Perspective

  • 1. What is machine learning? A business perspective BUSINESS SCHOOL Enrique Dans http://www.enriquedans.com Breukelen - July 8, 2019 Machine Learning Summer School in The Netherlands
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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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  • 26. The Myth of the Data Scientist
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  • 47. MLaaS
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  • 53. THE
  • 54. REAL
  • 55. TRUTH
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  • 74. 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. 
  • 75.
  • 76. Over the next decade, AI won’t replace managers, but managers who use AI will replace those who don’t
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  • 86. 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