future of big data & analytics paul ormonde james

Paul Ormonde-James 2014CYBER

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By Paul Ormonde-James

January 2014

The future is closed than

you think

. COM


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If we cannot embrace change, we will not

survive…

What are the trends we must embrace?

What will be the impacts?

What must we do to turn change to opportunity?

How can I make a difference?

Today I will discuss the key future trends and how to make a difference


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Businesses will continue to embrace machine

learning and automation

• Further than prediction

• Learning algorithms

• Intuitive churn

modelling

• Programs that teach

the analyst

http://whatis.techtarget.com/definition/machine-learning


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Businesses will search for the right

balance between human and machine

capability and judgment

• Machines will propose

scenarios and at a speed

faster than humans allowing

dramatic decision making

• Ultimately machines will

have consciousness and will

make intuitive decisions.

• Technologies for inter-

machine human interfaces

will increase


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Data scientists will drive new products

and services

• The traditional product

manager will be replaced with

sophisticated analytic data

scientists, predicting

consumer needs with

accuracy based on universal

knowledge

• Machines and intelligence will

also use 3D printing to build

exactly what people want

• The society will move to

complete disposable

everything and recycling


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Companies get beyond big data hype

• Omni-present intelligence will

replace the infant concepts

of Big Data.

• Big Data propositions will be

laughed at, as machine

learning drives accurate

small data

• Knowledge workers will drive

productivity and even

traditional management.

• Executives will be the

smartest of populations


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Big structured data will make a name for

itself

• The data continuum will revolve

360 degrees

• The structure will be driven by

sophisticated logic systems

based on learning

• Cloud everywhere will be

supported by continuous live

connection

• System architectures will evolve

to meet the real time nature of

information and intelligence


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The analytics profession continues to

mature• Intelligence Analytics will evolve

based on machine learning

• Current technologies will be

replaced with more sophisticated

approaches to decision making in

structurally flat organisations

• Executive levels will be substantially

reduced as ideas and delivery is

easily managed in flat structure due

to continuous connection to

information

• There will only be decisions and

knowledge. Analytics will be the only

competitive advantage


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Vendors and users will focus on

operationalizing and managing models

• Models will drive decisions

• Vendors will provide only cloud

solutions

• Applications will be fully customizable

by learning algorithms. No need for

vendor customisations

• Machine learning will allow

experience to be shared by

companies and eliminating the big

consultancies

• Holographic interfaces allows

dynamic scenario analysis


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The adoption of Analytics as a Service will

accelerate• Analytics will become a

commodity

• Adoption to markets will be fully

automated

• Industry knowledge will be stored

online for all to access reducing

need for people to retain.

• Organisations will leverage

global learning


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Facial recognition data will play a bigger

role

• From recognition for access to

ATMs and banking to control of

automated functions

• Reading moods for lighting and

for offers online

• Control of computer interfaces

• Reading and anticipating

responses


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Wearable device data will be incorporated

into predictive analytics

• Anticipation of an individuals

needs and wants

• Interfacing with others

• Sharing feelings and emotions

• interconnections to machines

• Relationship management

• Emotional control


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Businesses will embrace visualizations for

all types of data• Inter corneal interfaces

• Connected neural and cognitive

networks

• Fully integrated holographic

interfaces


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Businesses will consider adding "lawyer"

to their big data line up?• Privacy gone wild

• Derived personal information so

accurate it predicts what you will

do

• Control on what you may do not

what you have done

• Thoughts open on cloud.

• No secrets


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Massively connected all the time

• Knowing where everyone is located

at any time with great accuracy

• Connection with anyone at anytime

anywhere

• New filtering opportunities

• Spam of information by interpersonal

channels

• Thinking and doing become blurred


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When computers disappear

• Data transfer through thought

• Memory stored in skin

• Mind the future computer

• Bluetooth replaced by 3D

image transfers person to

person

• People and machines blurred


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Change will continue


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By Paul Ormonde-James

January 2014