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The smart machine era will be the most disruptive in the history of IT. Gartner (8th Oct 2014) © Immo Salo

Smart Machines -presentation, Dec 2014

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Page 1: Smart Machines -presentation, Dec 2014

The smart machine era will be the most disruptive in the history of IT.Gartner (8th Oct 2014)

© Immo Salo

Page 2: Smart Machines -presentation, Dec 2014

Top 10 Strategic Technology Trends for 2014● Web-Scale IT● Smart Machines● 3D Printing● The Era of Personal Cloud● Software-Defined Anything● Mobile Device Diversity and Management● Mobile Apps and Applications● The Internet of Everything● Hybrid Cloud & IT as a Service Broker● Cloud/Client Architecture

www.smartmachines.fi

Page 3: Smart Machines -presentation, Dec 2014

Top 10 Strategic Technology Trends for 2015● Computing Everywhere● The Internet of Things● 3D Printing● Advanced, Pervasive and Invisible Analytics● Contex-Rich Systems● Smart Machines● Cloud/Client Computing● Software-Defined Applications and Infrastructure● Web-Scale IT● Risk-Based Security and Self-Protection

www.smartmachines.fi

Page 4: Smart Machines -presentation, Dec 2014

Smart Machines gets attentionSmart machines has been getting more and more attention:● Hype Cycle of Smart Machines released

Gartner, Jul 2014

● McKinsey writes about Smart MachinesMcKinsey Quarterly, Sep 2014

● Economist writes about Smart Machines“The Age of Smart Machines”, May 2014

● IBM published a book about Smart Machines“Smart Machines: IBM’s Watson and the Era of Cognitive Computing”, Oct 2013

www.smartmachines.fi

Page 7: Smart Machines -presentation, Dec 2014

Definition of Smart Machines“Smart machines include robots, self-driving cars and other cognitive computing systems that are able to make decisions and solve problems without human intervention.”Techtarget.com

“[Smart Machines are]...contextually aware, intelligent personal assistants, smart advisors (such as IBM Watson), advanced global industrial systems and public availability of early examples of autonomous vehicles”Gartner

“...a smart machine is an intelligent device that uses machine-to-machine (M2M) technology. Smart machines include robots, self-driving cars and other cognitive computing systems that are able to make decisions and solve problems without human intervention.”Techtarget.com

www.smartmachines.fi

Page 8: Smart Machines -presentation, Dec 2014

What are Smart Machines?1. Observe

learn by observing2. Tests

test the real world3. Autonomous

behave autonomously4. Probabilistic

making decision based on probabilities5. Predicts

predict the future based on models and calculations6. Purpose

narrow in purpose, each machine has its own purpose and there are different machines for different purposes7. Understands

appear to understand concepts, relationships, causalities8. Human reaction

“I didn’t know a machine could do that!”

https://www.youtube.com/watch?v=Z4kfdkCFQ2gwww.smartmachines.fi

Gartner tried to answer the question in Jul 2014

Page 9: Smart Machines -presentation, Dec 2014

What are Smart Machines?● Smart Machines are technologies that:

○ Deal with high levels of complexity and uncertainty

○ Decision making based on probabilistics

○ Understanding of task-specific contexts

○ Multitude of uses

○ Some gauge person’s feelings by examining facial movements etc.

http://gartnernews.com/smart-machine-disruption-will-dominate-this-decade/www.smartmachines.fi

Page 10: Smart Machines -presentation, Dec 2014

3 D’s of Smart Things

http://gartnernews.com/three-emerging-trends-drive-digital-business/www.smartmachines.fi

Gartner is also talking about “Smart Things”

Page 11: Smart Machines -presentation, Dec 2014

New technologies are enablers● The idea of Smart

Machines is not new, but now the time is right

→ Perfect stormcombination of technologies and concepts are mature enough

www.smartmachines.fi

Page 12: Smart Machines -presentation, Dec 2014

Innovations are the key● Most important innovations will be combinatory

innovations*● Creative destruction will face those not willing or

able to take action● The pace of change might be surprisingly fast

* The Second Machine Age, Brynjolfsson & McAfeewww.smartmachines.fi

Page 13: Smart Machines -presentation, Dec 2014

Phases of competition1. Wondering

○ These machines are amazing!2. Innovations, phase 1

○ Changing the way business is done within existing industries 3. Innovations, phase 2

○ Creating new industries4. Innovations, phase 3

○ Destruction of old industries / business models5. The Age of Ecosystems

○ High-technologization of industries, ecosystem-level competition

www.smartmachines.fi

Page 14: Smart Machines -presentation, Dec 2014

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

Page 15: Smart Machines -presentation, Dec 2014

CategoriesCloud computing

● IaaS● PaaS● SaaS

XaaS

Big Data

● Volume● Variety● Velocity

multiple other V’s

Internet of Everything

● People● Things● Places● Information

Robotics

● Industrial● Service● Consumer

Smart Machines is a combination of existing technologies and concepts

www.smartmachines.fi

Page 17: Smart Machines -presentation, Dec 2014
Page 18: Smart Machines -presentation, Dec 2014

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-roboticswww.smartmachines.fi

Page 20: Smart Machines -presentation, Dec 2014

Quote: Ken Goldberg,Berkeley University

“Robot learning is going to be greatly accelerated. Putting it a little simply, one robot can spend 10,000 hours learning something, or 10,000 robots can spend one hour learning the same thing.”

http://bits.blogs.nytimes.com/2014/10/25/the-robot-in-the-cloud-a-conversation-with-ken-goldbergwww.smartmachines.fi

Page 21: Smart Machines -presentation, Dec 2014

Division of execution

www.smartmachines.fi

Onboard execution

➢ Simple, repetitive tasks

➢ Motorics

➢ Tasks related to events that always demand immediate response

Cloud execution

➢ Complex tasks

➢ Machine learning

➢ Tasks that demand compute- or memory-intensive analytics

Page 22: Smart Machines -presentation, Dec 2014
Page 23: Smart Machines -presentation, Dec 2014

The Role of Big Data● Cloud Services provide scalability“Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. Amazon Kinesis can collect and process hundreds of terabytes of data per hour from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.” An Inside Look at Google BigQuery

http://aws.amazon.com/kinesis/www.smartmachines.fi

Page 24: Smart Machines -presentation, Dec 2014

The Role of Big Data● Advanced 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/www.smartmachines.fi

Page 25: Smart Machines -presentation, Dec 2014

Watson as a cloud service● IBM Watson is available as a cloud service (Sep

2014)

“In the future a cleaning robot in the hospital corridor connected to Medical Watson might be able to give you more precise diagnosis and prognosis than the doctor who you are waiting to see.”

www.smartmachines.fi

Page 26: Smart Machines -presentation, Dec 2014
Page 27: Smart Machines -presentation, Dec 2014

Sales of Industrial Robots

Worldrobotics.org: http://www.worldrobotics.org/uploads/tx_zeifr/June_04__2014_PI_IFR_World_Robot_Market.pdf

Record high sales of industrial robots in 2013

www.smartmachines.fi

Page 28: Smart Machines -presentation, Dec 2014

“Turning to the projections for the period of 2013 to 2016, sales forecast which were provided by companies worldwide indicate an increase to about 94,800 units with an estimated value of US$ 17.1 billion.

Thereof, about 28,000 robots for defense applications are expected to be sold in the period of 2013 to 2016. They are followed by milking robots with about 24,500 units. However, this is probably a rather conservative estimate. These two service robot groups make up 55% of the total forecast of service robots at the current time.”

www.smartmachines.fi

Sales of Service Robots

Worldrobotics.org: http://www.ifr.org/service-robots/statistics/

Page 29: Smart Machines -presentation, Dec 2014

Sales of Domestic Service Robots

Worldrobotics.org: http://www.ifr.org/service-robots/statistics/www.smartmachines.fi

...vacuum and floor cleaning, lawn-mowing robots, and entertainment and leisure robots, including toy robots, hobby systems, education and research.

Page 30: Smart Machines -presentation, Dec 2014

Drones - soon flying everywhere

https://www.sensefly.com/drones/ebee.html

No piloting skills requiredThe 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.

www.smartmachines.fi

Page 31: Smart Machines -presentation, Dec 2014

Autonomous vehicles create creative destruction

https://atmelcorporation.wordpress.com/2014/10/08/gartner-smart-machine-disruption-will-dominate-this-decade/www.smartmachines.fi

Jobs will be lost and new ones created.

Gartner

Page 32: Smart Machines -presentation, Dec 2014

Consumer robotics

https://www.indiegogo.com/projects/jibo-the-world-s-first-family-robot

Jibokickstarter 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

www.smartmachines.fi

Page 33: Smart Machines -presentation, Dec 2014

IDC, General Electric

Page 34: Smart Machines -presentation, Dec 2014

Smart, connected things● Harward Business Review (Nov 2014)

“Embedded sensors, processors, software, and connectivity in products, coupled with a product cloud in which product data is stored and analyzed and some applications are run, are driving dramatic improvements in product functionality and performance”

www.smartmachines.fi HBR: https://hbr.org/2014/11/how-smart-connected-products-are-transforming-competition

Page 35: Smart Machines -presentation, Dec 2014

IBM SyNAPSE chip● Computer chip imitating the

brain (introduced in Aug 2014)

IBM: http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml

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.

www.smartmachines.fi

Page 36: Smart Machines -presentation, Dec 2014

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)

Intel: http://www.intel.com/content/www/us/en/do-it-yourself/edison.html

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).

www.smartmachines.fi

3,5 cm

Page 37: Smart Machines -presentation, Dec 2014

Spark● Spark is a Wi-Fi development

kit for connecting devices aka “things” to internet

Spark: https://www.spark.io/

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.

www.smartmachines.fi

Page 38: Smart Machines -presentation, Dec 2014

Gartner Oct 2013

Page 39: Smart Machines -presentation, Dec 2014

Smart, connected products● Physical components

○ Example: The core product itself

● Smart components○ Example: Intel Edison

● Connectivity○ Example: Spark

www.smartmachines.fi

by HBR

HBR: https://hbr.org/2014/11/how-smart-connected-products-are-transforming-competition

Page 40: Smart Machines -presentation, Dec 2014

Categories of Smart Machines● Movers

○ Example: Google “Self-Driving car”

● Doers○ Example: Rething Robotics “Baxter”

● Sages○ Example: IBM “Watson”

IBM: Oct 2013, http://www.ibmbigdatahub.com/blog/rise-smart-machines-nothing-fear-now-austinwww.smartmachines.fi

by IBM

Page 41: Smart Machines -presentation, Dec 2014

Movers

Google Self-Driving Car: http://en.wikipedia.org/wiki/Google_driverless_carwww.smartmachines.fi

Google Driverless Car

Page 42: Smart Machines -presentation, Dec 2014

Doers

Rething robotics: http://www.rethinkrobotics.com/baxter/www.smartmachines.fi

Baxter

Page 43: Smart Machines -presentation, Dec 2014

Sages

IBM: http://www.ibm.com/smarterplanet/us/en/ibmwatson/what-is-watson.htmlwww.smartmachines.fi

IBM Watson beating top human players in Jeopardy 2011

Page 44: Smart Machines -presentation, Dec 2014

Categories of Smart Machines● Expert systems (sages)

○ Example: IBM “Watson”

● Autonomous robots (movers, doers)○ Example: Google “Self-Driving car”

● Intelligent assistants (helpers?)○ Examples: Apple “Siri”, Microsoft “Cortana”

Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machinewww.smartmachines.fi

by Technavio

Page 45: Smart Machines -presentation, Dec 2014

Categories of Smart Machines

www.smartmachines.fi

Categorization 1by IBM

Categorization 2by Technavio

Sages Expert Systems

Movers Autonomous Robots

Doers Intelligent Assistants

Page 46: Smart Machines -presentation, Dec 2014

Problem solving with Expert System

www.smartmachines.fi Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machine

Problem Definition

System Design

Formalization

System Implementation

System Validation

Page 47: Smart Machines -presentation, Dec 2014

Characteristics of Autonomous Robot

● Self-Maintenance● Ability to sense the environment (sensors)● Ability to perform physical tasks (motorics)● Ability to navigate point to point (movement)

www.smartmachines.fi Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machine

Page 48: Smart Machines -presentation, Dec 2014

5 Generations of virtual assistantsFirst Generationbased on text, low-quality end-user interface

Second Generationinteractive moving, cartoon type characters, text-to-text, only little speech

Third Generationanimation, responses to speech, functionality to measure response accuracy

Fourth Generationquality animated characters, dashboards, analytics, mobile solutions, high accuracy

Fifth Generation3D images, extraordinary accuracy, requests feedback, full speech-to-speech support

www.smartmachines.fi Technavio: Oct 2014, http://www.technavio.com/blog/know-your-robots-top-three-types-of-smart-machine

Page 49: Smart Machines -presentation, Dec 2014

Google Brain● Artificial Intelligence (AI) is gaining a lot of

attention

www.smartmachines.fi http://arxiv.org/pdf/1112.6209v5.pdf

Building High-level FeaturesUsing Large Scale Unsupervised Learning

Our high-level detectors also outperform standard baselines in terms of recognition rates, achieving 74.8% and 76.7% on cat and human body respectively. In comparison, best linear filters (sampled from the training set) only achieve 67.2% and 68.1% respectively.

Stanford & Google -paper Jul 2012

Cat face drawn by computer base on looking at cat images from Youtube.

Page 50: Smart Machines -presentation, Dec 2014

Wearables, augmented reality“Clothing and accessories incorporating computer and advanced electronic technologies”Wikipedia, Sep 2014

www.smartmachines.fi

Google Glass

Apple Watch

Page 51: Smart Machines -presentation, Dec 2014

Wearables, categories1. Lifestyle

○ enhancing and simplifying everyday tasks and activities

2. Entertainment○ providing enjoyment and entertainment to the user

3. Health & Fitness○ giving insight to the user by showing personal body data

www.smartmachines.fi http://wearableworldnews.com/2014/05/06/wearable-world-taxonomy

Global market of wearable to reach £30B by 2018

Page 52: Smart Machines -presentation, Dec 2014

Exoskeletons● “A powered exoskeleton, also known as powered armor, exoframe, or

exosuit, is a mobile machine consisting primarily of an outer framework (akin to an insect's exoskeleton) worn by a person, and powered by a system of motors or hydraulics that delivers at least part of the energy for limb movement.”Wikipedia

● Gaining a lot of attention with huge possibilities to offer (ie ReWalk*)

www.smartmachines.fi http://wearableworldnews.com/2014/05/06/wearable-world-taxonomy

*ReWalk helps paralyzed people to walk again. It had a successful IPO on Nasdac in Sep 2014

Page 53: Smart Machines -presentation, Dec 2014

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-austinwww.smartmachines.fi

Page 54: Smart Machines -presentation, Dec 2014
Page 55: Smart Machines -presentation, Dec 2014

The Future of Employment

Oxford Martin School: Sep 2013, http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf

“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

www.smartmachines.fi

Page 56: Smart Machines -presentation, Dec 2014

Jobs will be lost

http://www.computerworld.com/article/2691607/one-in-three-jobs-will-be-taken-by-software-or-robots-by-2025.html

“One in three jobs will be taken by [Smart Machines] by 2025“Peter Sondergaard, Gartner research director, Oct 2014

www.smartmachines.fi

Page 57: Smart Machines -presentation, Dec 2014

www.smartmachines.fi twitter.com/immon

What next?● Innovations

● Investments

● Creative destruction

● New skills needed