Prepared by Raoul GomesMay 26, 2015

IntroductionThe world is changing so rapidly, with adoption rates being shorter and

shorter. A lot of this is driving innovation at such speed it’s hard to track.

Presentation Goal

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We hear specific technology terms

more frequently, however some

individuals may not know what

they mean.

My goal is to help you understand

the topics that are changing our

world and will most likely continue

to play an integral part in how we

interact with technology.

Trends for Discussion

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There are many technologies starting to enter the corporate world. Some

of these are older (i.e. 3D printing), however, they have once again started

to appear as an ‘innovative’ technology. Trends we’ll cover are as follows:

• Smart Machines

• Artificial Intelligence

• 3D Printing

• Augmented Reality

• Predictive Analytics

• Internet of Things

• Big Data

• Wearables

What is a Trend?

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What classifies a technology for being a trend? I state two factors:

1. The adoption rates for the technology.

2. The potential of becoming a disrupter.

A disruptive innovation is one

that helps create a new market

and value network, and

eventually disrupts an existing

market and value network,

displacing an earlier technology.

Smart Machines / Machine Helpers

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Smart machines are systems that

use machine learning to perform

work traditionally conducted by

humans in an effort to boost

efficiency and productivity.

These are smarter multitask

machines that are more robust,

powerful, and flexible.

Smart Machines – How they work

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This technology is possible using deep analytics applied to an

understanding of context. It is combined with advanced algorithms

allowing systems to understand their environment, learn for themselves,

and act autonomously.

Smart Machines – Categories

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Smart machines can be divided into three categories:

• Movers: autonomous robots that can move items from points A to B

without human intervention. Google’s Prototype autonomous vehicles.

• Doers: robots that use sensors, cameras and machine learning to

perform complex tasks like scheduling or handling and manipulating

small objects. Tesla Factory or Amazon warehouse.

• Sages: Information-based helpers that rely on context and a

familiarity with their users' environments and patterns to provide

options and recommendations. Amy the virtual personal assistants at

www.x.ai

Internet Everywhere – Mobile & Internet

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The Cell Phone and Internet, being the most recent two new

technologies that have attained mass adoption, are driving most of the

conversation when discussing tech trends.

The combination of these has driven an increasing adoption rate.

Internet Everywhere – Leaders

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Project Loon is a research and development project

developed by Google with the mission of providing

Internet access to rural and remote areas. The

project uses high-altitude balloons placed in the

stratosphere to create an aerial wireless network.

Internet.org is a partnership between Facebook and

six mobile phone companies to bring affordable

access of selected Internet services to less developed

countries through network efficiencies and new

business models around the provision of Internet

access.

Internet Everywhere – Business Model

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The idea is to not charging end-customers on data used by specific

applications or internet services through the mobile network. The

industry term is know as zero-rating or commonly known as Toll-Free.

Facebook, Wikipedia, and Google want to harness the development of

new business models around the provision of Internet access using this

concept in providing their service more broadly into developing markets.

Internet Everywhere – Challenge

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In plain terms, users would have a subsidised access to services from

these service providers. However, there is a cautionary note, in particular

around net neutrality. Some believe that this would lead to a closed

internet, of which aligns with to the industry’s desire for Internet 2.

The Subsecretaria de Telecomunicaciones of Chile ruled that this practice violated net neutrality laws and had to end by June 1, 2014.

Artificial Intelligence

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Artificial intelligence (AI) is the intelligence exhibited by machines or

software. These systems have the capability of learning and teaching

themselves.

This builds on the concept of Machine Learning, however extends more

broadly to include other areas such as ability to have natural language

processing, knowledge representation, and automated reasoning.

Artificial Intelligence - Leaders

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The most recognizable companies out there working the area of how to

create computers and software that are capable of intelligent behaviour

are IBM (Watson), Google (Search Engine/Self driving cars), Microsoft

(Cortana), and Baidu (Minwa).

This industry has progressed

at an increasing rate with the

advent of cheaper parallel

computing, big data, and better

algorithms.

Artificial Intelligence – IBM Watson

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Cognitive Cooking with Chef Watson includes 65 recipes. Instead of

dealing with dishes at an ingredient level, Watson looks at the actual

chemicals that control taste and how one food pairs with another to

come up with new ideas that would not logically be combined.

Artificial Intelligence – Baidu Minwa

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Chinese’ Baidu Minwa supercomputer AI trumps Google, Microsoft and

humans at image recognition. This supercomputer scanned more than 1

million images and taught itself to sort them into 1,000 categories with a

95.42% accuracy.

3D Printing

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This technology is already considered older, however with the advent

of new alloys, quicker printer technology, more powerful computer

processing, reduced costs, and the transfer of printing schematics

via internet have driven this technology to the forefront.

3D Printing - Examples

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There are a few neat examples of where 3D printing is having great

impact:

• Healthcare, where organs, bones, custom hip joints, are printed

• 3D printing guns, bypassing statues that infringe common-law rights.

• Food with elaborate designs.

• Tools in outer space, rather than taking each tool, a printer is taken.

• Mechanical engineering having cheaper, stronger, and lighter parts.

All this leads to more precise work, less labour required, quicker

turnaround, less waist, higher quality.

Augmented Reality

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Augmented reality is a live direct or indirect view of a physical, real-

world environment whose elements are augmented (or

supplemented) by computer-generated sensory input such as

sound, video, graphics, or GPS data.

Augmented vs. Virtual Reality

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Predictive Analytics

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Large amounts of data continue to be collected within and outside of the

enterprise. From such places as social media, IoT, wearables etc.

Predictive analytics is the practice of extracting information from these

existing data sets and analyzing it in order to determine patterns. Thus,

allowing for information to be delivered to the right individuals or systems

at the right time.

Predictive Analytics – Big Answers

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It predict future outcomes and trends but does not tell you what will

happen in the future. Big data remains an important enabler for this

trend, however the value is in the big answers to the big questions and

not necessarily the data.

Internet of Things

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The Internet of Things (IoT) is the network of physical objects or "things"

embedded with electronics, software, sensors and connectivity.

The goal is to provide greater value and service by exchanging data with

the manufacturer, operator, and/or other connected devices.

Internet of Things – Ecosystem

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The IoT ecosystem is complex and diverse.

The areas of focus that make sum the concept

are the consumer play, along with the

software and hardware.

The applications of this technology span:

• Media

• Environmental monitoring

• Infrastructure management

• Manufacturing

• Energy management

• Medical & healthcare systems

• Building & home automation

• Transportation

• Large scale deployments

Big Data

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Big data is term used to describe a massive volume of both structured

and unstructured data that is so large it is difficult to process using

traditional database and software techniques.

In the next five years, data

growth is set to increase

by 800 percent and even

now, 90 percent of all of

the data that exists in the

world was created in the

last two years.

Big Data – Actionable Intelligence

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Correlations are completed by taking data from various sources and

making actionable intelligence. This doesn’t necessarily mean you

should always act on it.

Example when NOT to use:

Sending flyers for baby items to

a teen living at home who just

bought a pregnancy test, or was

searching ‘am I pregnant’ in

google search.

Wearables

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Wearable technology, wearables, fashionable technology, wearable

devices, tech togs, or fashion electronics are clothing and accessories

incorporating computer and advanced electronic technologies.

Applications of this technology lie in health, AR, connected products, etc.

Other Trends

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I encourage you to continue exploring other trends not listed in this

presentation. They can include, and are not limited to:

• Biometrics

• Bitcoin

• Crowd Sourcing

• QR Codes

• Drones

• Self-driving cars

• Robotics

• Bio-chips

• Nanotechnology

• Smart Dust

• Batteries