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Smart machines 
The Next Hype 
© Immo Salo
The Smart Machine era will be the 
most disruptive in the history of IT. 
Gartner Oct 2013
Definition of Smart Machines 
● Observes surrounding environment 
● Tests hypotheses and learns 
● Autonomous behavior 
● Probabilistic decision making 
● Predicts the future with models 
● Built for certain purpose 
● Understands relationships 
+ wow effect from humans 
Gartner: Jul 2014, https://www.youtube.com/watch?v=Z4kfdkCFQ2g
Categories of Smart Machines 
● Movers 
○ Example: Boston Dynamics “Big Dog” 
● Doers 
○ Example: Rething Robotics “Baxter” 
● Sages 
○ Example: IBM “Watson” 
IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
Movers 
Boston Dynamics: http://www.bostondynamics.com/img/BigDog_Overview.pdf
Doers 
Rething robotics: http://www.rethinkrobotics.com/baxter/
Sages 
IBM: http://www.ibm.com/smarterplanet/us/en/ibmwatson/what-is-watson.html
Role of Smart Machines 
● Assist people 
● Advise people 
● Observe and help people 
● Extend people 
... 
● Replace people 
IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
The Future of Employment 
“According to our estimate, 47 percent of total US 
employment is in the high risk category, 
meaning that associated occupations are 
potentially automatable over some unspecified 
number of years, perhaps a decade or two“ 
The future of employment: how suspectible are jobs to computerisation? 
Frey & Osborne, Oxford Martin School 
Oxford Martin School: Sep 2013, http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Cloud Computing is the brains behind 
Smart Machines
The Role of Cloud Computing 
● Cloud Computing is an enabler of Smart Machines 
“Imagine a robot that finds an object that it's never seen or used 
before—say, a plastic cup. The robot could simply send an 
image of the cup to the cloud and receive back the object’s 
name, a 3-D model, and instructions on how to use it” 
J. Kuffner, Google 
IEEE: Jan 2011, http://spectrum.ieee.org/automaton/robotics/robotics-software/cloud-robotics
Advanced Analytics provides wisdom
The Role of Big Data 
● Analytics is what makes machines smart, cloud 
provides processing power and services 
“Dremel can scan 35 billion rows without an index in tens of 
seconds. Dremel, the cloud-powered massively parallel query 
service, shares Google’s infrastructure, so it can parallelize each 
query and run it on tens of thousands of servers simultaneously. 
You can see the economies of scale inherent in Dremel. 
An Inside Look at Google BigQuery 
https://cloud.google.com/files/BigQueryTechnicalWP.pdf
The Role of Big Data 
● Advaced Analytics helps to model and predict the 
future 
“Machine learning–mining historical data with computer systems 
to predict future trends or behavior–touches more and more lives 
every day. Search engines, online recommendations, ad 
targeting, virtual assistants, demand forecasting, fraud detection, 
spam filters–machine learning powers all these modern services. 
But these uses barely scratch the surface of what's possible. 
Microsoft Azure Machine Learning 
http://azure.microsoft.com/en-us/services/machine-learning/
What next? 
● Innovations 
● Investments 
● Creative destruction 
● New skills needed 
www.smartmachines.fi twitter.com/immon

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Smart Machines Sep 2014

  • 1. Smart machines The Next Hype © Immo Salo
  • 2. The Smart Machine era will be the most disruptive in the history of IT. Gartner Oct 2013
  • 3.
  • 4. Definition of Smart Machines ● Observes surrounding environment ● Tests hypotheses and learns ● Autonomous behavior ● Probabilistic decision making ● Predicts the future with models ● Built for certain purpose ● Understands relationships + wow effect from humans Gartner: Jul 2014, https://www.youtube.com/watch?v=Z4kfdkCFQ2g
  • 5. Categories of Smart Machines ● Movers ○ Example: Boston Dynamics “Big Dog” ● Doers ○ Example: Rething Robotics “Baxter” ● Sages ○ Example: IBM “Watson” IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
  • 6. Movers Boston Dynamics: http://www.bostondynamics.com/img/BigDog_Overview.pdf
  • 7. Doers Rething robotics: http://www.rethinkrobotics.com/baxter/
  • 9. Role of Smart Machines ● Assist people ● Advise people ● Observe and help people ● Extend people ... ● Replace people IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
  • 10.
  • 11. The Future of Employment “According to our estimate, 47 percent of total US employment is in the high risk category, meaning that associated occupations are potentially automatable over some unspecified number of years, perhaps a decade or two“ The future of employment: how suspectible are jobs to computerisation? Frey & Osborne, Oxford Martin School Oxford Martin School: Sep 2013, http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
  • 12. Cloud Computing is the brains behind Smart Machines
  • 13. The Role of Cloud Computing ● Cloud Computing is an enabler of Smart Machines “Imagine a robot that finds an object that it's never seen or used before—say, a plastic cup. The robot could simply send an image of the cup to the cloud and receive back the object’s name, a 3-D model, and instructions on how to use it” J. Kuffner, Google IEEE: Jan 2011, http://spectrum.ieee.org/automaton/robotics/robotics-software/cloud-robotics
  • 14.
  • 16. The Role of Big Data ● Analytics is what makes machines smart, cloud provides processing power and services “Dremel can scan 35 billion rows without an index in tens of seconds. Dremel, the cloud-powered massively parallel query service, shares Google’s infrastructure, so it can parallelize each query and run it on tens of thousands of servers simultaneously. You can see the economies of scale inherent in Dremel. An Inside Look at Google BigQuery https://cloud.google.com/files/BigQueryTechnicalWP.pdf
  • 17. The Role of Big Data ● Advaced Analytics helps to model and predict the future “Machine learning–mining historical data with computer systems to predict future trends or behavior–touches more and more lives every day. Search engines, online recommendations, ad targeting, virtual assistants, demand forecasting, fraud detection, spam filters–machine learning powers all these modern services. But these uses barely scratch the surface of what's possible. Microsoft Azure Machine Learning http://azure.microsoft.com/en-us/services/machine-learning/
  • 18. What next? ● Innovations ● Investments ● Creative destruction ● New skills needed www.smartmachines.fi twitter.com/immon