Smart machines 
The Future Is Here 
© Immo Salo
What will we call them? 
● Smart machines, Intelligent machines, 
Brilliant machines or what 
www.smartmachines.fi ?
Google Trends on Sep 2014
Smart Machines is winning? 
Placing the bets, the usual suspects: 
● Hype Cycle of Smart Machines released 
(Gartner, Jul 2014) 
● McKinsey writes about Smart Machines 
(McKinsey Quarterly, Sep 2014) 
● Economist writes about Smart Machines 
(“The Age of Smart Machines”, May 2014) 
www.smartmachines.fi
New technologies are enablers 
● The idea of Smart 
Machines is not new, 
but now the time is 
right 
→ perfect storm 
www.smartmachines.fi
Innovations are the key 
● Most important innovations will be 
combinatory innovations* 
● Creative destruction will face those not 
willing or able to take action 
www.smartmachines.fi * The Second Machine Age, Brynjolfsson & McAfee
Phases of competition 
1. Wondering 
○ These machines are amazing! 
2. Innovations, phase 1 
○ Changing the way business is done within existing industries 
(transport, retail sales, warehouses, production) 
3. Innovations, phase 2 
○ Creating new industries 
4. The Age of Ecosystems 
○ High-technologization of industries, ecosystem-level competition 
www.smartmachines.fi
Timing and technology 
● Smart Machines is built on top of existing 
technologies and innovations 
○ Cloud computing 
○ Big data 
○ Internet of Everything 
○ Robotics 
www.smartmachines.fi
Categories 
Cloud computing 
● IaaS 
● PaaS 
● SaaS 
Big Data 
● Volume 
● Variety 
● Velocity 
Internet of Everything 
● People 
● Things 
● Places 
● Information 
Robotics 
● Industrial 
● Service 
● Consumer 
Smart Machines is a combination of existing technologies and concepts 
www.smartmachines.fi
www.smartmachines.fi
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 
www.smartmachines.fi IEEE: Jan 2011, http://spectrum.ieee.org/automaton/robotics/robotics-software/cloud-robotics
www.smartmachines.fi
Advanced Analytics provides wisdom to Smart Machines
The Role of Big Data 
● Analytical capabilities provided by cloud services are 
evolving fast 
“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 
www.smartmachines.fi 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 
www.smartmachines.fi http://azure.microsoft.com/en-us/services/machine-learning/
Robotics makes digitalization visible in production, 
services, transportation and all other areas of life
Sales of Industrial Robots 
Record high sales of industrial 
robots in 2013 
Worldrobotics.org: http://www.worldrobotics.org/uploads/tx_zeifr/June_04__2014_PI_IFR_World_Robot_Market.pdf 
www.smartmachines.fi
Drones - soon flying everywhere 
No piloting skills required 
The eBee takes off, flies and lands 
autonomously. 
The artificial intelligence incorporated in the 
senseFly autopilot continuously analyzes data 
from the Inertial Measurement Unit and the 
onboard GPS and takes care of all aspects of 
the flight mission. 
https://www.sensefly.com/drones/ebee.html 
www.smartmachines.fi
Consumer robotics 
Jibo 
kickstarter project, shipping 2015 
What is Jibo? It’s a little pod with a motorized 
swivel, equipped with cameras, microphones 
and a display. It recognizes faces and voices, 
and can act as a personal assistant by setting 
reminders, delivering messages and offering to 
take group photos. It also serves as a 
telepresence robot for video chat. 
Time.com 
https://www.indiegogo.com/projects/jibo-the-world-s-first-family-robot 
www.smartmachines.fi
IBM SyNAPSE chip 
● Computer chip imitating the 
brain (introduced in Aug 2014) 
The architecture can solve a wide class of problems 
from vision, audition, and multi-sensory fusion, and has 
the potential to revolutionize the computer industry by 
integrating brain-like capability into devices where 
computation is constrained by power and speed. 
IBM: http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml 
www.smartmachines.fi
Internet of Things 
There are 50 to 500 billion connected devices in 2020 
IDC, General Electric
Intel Edison 
● Remember Raspberry Pi? 
● Intel Edison takes tiny 
computers to the next level 
● It can be the brains of almost 
any device (width is only 35 mm) 
The Intel® Edison development platform is the first 
in a series of low-cost, product-ready, general 
purpose compute platforms that help lower the 
barriers to entry for entrepreneurs in the Internet of 
Things (IoT). 
Intel: http://www.intel.com/content/www/us/en/do-it-yourself/edison.html 
www.smartmachines.fi 
3,5 cm
Spark 
● Spark is a Wi-Fi development 
kit for connecting devices aka 
“things” to internet 
The Spark Core is our tiny Wi-Fi development kit 
that helps you build a connected product in hours, 
not weeks. The Spark Core is hooked to the Cloud 
out of the box, and the entire design is open 
source. 
Spark: https://www.spark.io/ 
www.smartmachines.fi
The Smart Machine era will be the most disruptive in the history of IT. 
Gartner Oct 2013
Categories of Smart Machines 
● Movers 
○ Example: Google “Self-Driving car” 
● Doers 
○ Example: Rething Robotics “Baxter” 
● Sages 
○ Example: IBM “Watson” 
www.smartmachines.fi IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
Movers 
www.smartmachines.fi Google Self-Driving Car: http://en.wikipedia.org/wiki/Google_driverless_car
Doers 
www.smartmachines.fi Rething robotics: http://www.rethinkrobotics.com/baxter/
Sages 
www.smartmachines.fi 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? 
www.smartmachines.fi 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 
www.smartmachines.fi
What next? 
● Innovations 
● Investments 
● Creative destruction 
● New skills needed 
www.smartmachines.fi twitter.com/immon

Smart machines - THe Future Is Here

  • 1.
    Smart machines TheFuture Is Here © Immo Salo
  • 2.
    What will wecall them? ● Smart machines, Intelligent machines, Brilliant machines or what www.smartmachines.fi ?
  • 3.
  • 4.
    Smart Machines iswinning? Placing the bets, the usual suspects: ● Hype Cycle of Smart Machines released (Gartner, Jul 2014) ● McKinsey writes about Smart Machines (McKinsey Quarterly, Sep 2014) ● Economist writes about Smart Machines (“The Age of Smart Machines”, May 2014) www.smartmachines.fi
  • 5.
    New technologies areenablers ● The idea of Smart Machines is not new, but now the time is right → perfect storm www.smartmachines.fi
  • 6.
    Innovations are thekey ● Most important innovations will be combinatory innovations* ● Creative destruction will face those not willing or able to take action www.smartmachines.fi * The Second Machine Age, Brynjolfsson & McAfee
  • 7.
    Phases of competition 1. Wondering ○ These machines are amazing! 2. Innovations, phase 1 ○ Changing the way business is done within existing industries (transport, retail sales, warehouses, production) 3. Innovations, phase 2 ○ Creating new industries 4. The Age of Ecosystems ○ High-technologization of industries, ecosystem-level competition www.smartmachines.fi
  • 8.
    Timing and technology ● Smart Machines is built on top of existing technologies and innovations ○ Cloud computing ○ Big data ○ Internet of Everything ○ Robotics www.smartmachines.fi
  • 9.
    Categories Cloud computing ● IaaS ● PaaS ● SaaS Big Data ● Volume ● Variety ● Velocity Internet of Everything ● People ● Things ● Places ● Information Robotics ● Industrial ● Service ● Consumer Smart Machines is a combination of existing technologies and concepts www.smartmachines.fi
  • 10.
  • 11.
    Cloud Computing isthe brains behind Smart Machines
  • 12.
    The Role ofCloud 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 www.smartmachines.fi IEEE: Jan 2011, http://spectrum.ieee.org/automaton/robotics/robotics-software/cloud-robotics
  • 13.
  • 14.
    Advanced Analytics provideswisdom to Smart Machines
  • 15.
    The Role ofBig Data ● Analytical capabilities provided by cloud services are evolving fast “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 www.smartmachines.fi https://cloud.google.com/files/BigQueryTechnicalWP.pdf
  • 16.
    The Role ofBig 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 www.smartmachines.fi http://azure.microsoft.com/en-us/services/machine-learning/
  • 17.
    Robotics makes digitalizationvisible in production, services, transportation and all other areas of life
  • 18.
    Sales of IndustrialRobots Record high sales of industrial robots in 2013 Worldrobotics.org: http://www.worldrobotics.org/uploads/tx_zeifr/June_04__2014_PI_IFR_World_Robot_Market.pdf www.smartmachines.fi
  • 19.
    Drones - soonflying everywhere No piloting skills required The eBee takes off, flies and lands autonomously. The artificial intelligence incorporated in the senseFly autopilot continuously analyzes data from the Inertial Measurement Unit and the onboard GPS and takes care of all aspects of the flight mission. https://www.sensefly.com/drones/ebee.html www.smartmachines.fi
  • 20.
    Consumer robotics Jibo kickstarter project, shipping 2015 What is Jibo? It’s a little pod with a motorized swivel, equipped with cameras, microphones and a display. It recognizes faces and voices, and can act as a personal assistant by setting reminders, delivering messages and offering to take group photos. It also serves as a telepresence robot for video chat. Time.com https://www.indiegogo.com/projects/jibo-the-world-s-first-family-robot www.smartmachines.fi
  • 21.
    IBM SyNAPSE chip ● Computer chip imitating the brain (introduced in Aug 2014) The architecture can solve a wide class of problems from vision, audition, and multi-sensory fusion, and has the potential to revolutionize the computer industry by integrating brain-like capability into devices where computation is constrained by power and speed. IBM: http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml www.smartmachines.fi
  • 22.
    Internet of Things There are 50 to 500 billion connected devices in 2020 IDC, General Electric
  • 23.
    Intel Edison ●Remember Raspberry Pi? ● Intel Edison takes tiny computers to the next level ● It can be the brains of almost any device (width is only 35 mm) The Intel® Edison development platform is the first in a series of low-cost, product-ready, general purpose compute platforms that help lower the barriers to entry for entrepreneurs in the Internet of Things (IoT). Intel: http://www.intel.com/content/www/us/en/do-it-yourself/edison.html www.smartmachines.fi 3,5 cm
  • 24.
    Spark ● Sparkis a Wi-Fi development kit for connecting devices aka “things” to internet The Spark Core is our tiny Wi-Fi development kit that helps you build a connected product in hours, not weeks. The Spark Core is hooked to the Cloud out of the box, and the entire design is open source. Spark: https://www.spark.io/ www.smartmachines.fi
  • 25.
    The Smart Machineera will be the most disruptive in the history of IT. Gartner Oct 2013
  • 26.
    Categories of SmartMachines ● Movers ○ Example: Google “Self-Driving car” ● Doers ○ Example: Rething Robotics “Baxter” ● Sages ○ Example: IBM “Watson” www.smartmachines.fi IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
  • 27.
    Movers www.smartmachines.fi GoogleSelf-Driving Car: http://en.wikipedia.org/wiki/Google_driverless_car
  • 28.
    Doers www.smartmachines.fi Rethingrobotics: http://www.rethinkrobotics.com/baxter/
  • 29.
    Sages www.smartmachines.fi IBM:http://www.ibm.com/smarterplanet/us/en/ibmwatson/what-is-watson.html
  • 30.
    Role of SmartMachines ● Assist people ● Advise people ● Observe and help people ● Extend people ... ● Replace people? www.smartmachines.fi IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austin
  • 32.
    The Future ofEmployment “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 www.smartmachines.fi
  • 33.
    What next? ●Innovations ● Investments ● Creative destruction ● New skills needed www.smartmachines.fi twitter.com/immon