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
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
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
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