Smart machines - THe Future Is Here

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Information about Smart machines - THe Future Is Here

Published on September 16, 2014

Author: immon



Self-driving cars, drones, household robots, smart devices etc.. A perfect storm is emerging. But what will the next hype be called? Smart Machines is a strong contestant for the next hype. In 2004 it was Social Media, in 2007 Cloud Computing was coined and in 2011 everybody started talking and writing about Big Data. Four years have passed and year 2015 calls for the next hype building on top of existing ones. Enter Smart Machines.

Smart machines The Future Is Here © Immo Salo

What will we call them? ● Smart machines, Intelligent machines, Brilliant machines or what ?

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)

New technologies are enablers ● The idea of Smart Machines is not new, but now the time is right → perfect storm

Innovations are the key ● Most important innovations will be combinatory innovations* ● Creative destruction will face those not willing or able to take action * 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

Timing and technology ● Smart Machines is built on top of existing technologies and innovations ○ Cloud computing ○ Big data ○ Internet of Everything ○ Robotics

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

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,

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

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

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

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.

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.

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:

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: 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:

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” IBM: Oct 2013,

Movers Google Self-Driving Car:

Doers Rething robotics:

Sages IBM:

Role of Smart Machines ● Assist people ● Advise people ● Observe and help people ● Extend people ... ● Replace people? IBM: Oct 2013,

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,

What next? ● Innovations ● Investments ● Creative destruction ● New skills needed

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