WEBVTT

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As

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one

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of

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those

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modern

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cliché

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sayings

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goes

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data

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is

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the

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oil

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of

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today’s

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world

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But

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that

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does

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not

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just

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mean

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the

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earning

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potential

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found

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in

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data

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Above

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all

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it

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means

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understanding

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the

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fact

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that

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just

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like

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unprocessed

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crude

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oil

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is

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relatively

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useless

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so

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is

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unanalysed

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data

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That

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is

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why

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a

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lot

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of

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SMEs

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have

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huge

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amounts

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of

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data

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stored

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in

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various

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systems

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or

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outdated

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data

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warehouses

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This

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makes

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sense

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however

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since

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huge

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amounts

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of

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data

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go

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hand

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in

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hand

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with

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business

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they

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are

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created

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from

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communications

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with

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clients

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marketing

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campaigns

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sales

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numbers

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carrying

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cost

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reports

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and

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various

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other

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daily

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activities

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Additionally

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data

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has

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a

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habit

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of

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creating

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more

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new

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data

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If

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used

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skilfully

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all

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this

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data

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can

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help

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optimise

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work

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and

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improve

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business

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results

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Sadly

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this

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is

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not

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the

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case

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in

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most

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cases

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since

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handling

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the

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ever

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increasing

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amounts

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of

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data

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is

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a

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huge

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task

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Most

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often

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the

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largest

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obstacle

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tends

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to

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be

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the

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fact

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that

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all

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the

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data

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is

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fragmented

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between

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different

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warehouses

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and

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systems

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and

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that

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the

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systems

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cannot

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always

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convert

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the

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data

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easily

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into

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a

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usable

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format

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In

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house

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analytics

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and

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reporting

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When

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any

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new

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data

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is

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created

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within

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an

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organisation

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then

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usually

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the

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first

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thing

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that

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is

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done

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with

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it

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is

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an

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internal

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report

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that

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for

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example

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specifies

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all

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different

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business

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related

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KPIs

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To

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achieve

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that

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first

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various

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existing

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data

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warehouses

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databases

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and

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other

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places

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that

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store

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data

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need

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to

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be

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interfaced

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The

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most

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common

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way

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of

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doing

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this

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is

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hiring

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a

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service

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provider

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or

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partner

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who

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can

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help

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do

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at

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least

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the

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initial

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setup

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AKA

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connect

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the

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different

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data

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sources

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For

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this

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they

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create

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a

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data

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lake

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which

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is

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a

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common

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repository

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that

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aggregates

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data

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from

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all

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of

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the

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different

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sources

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the

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company

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has

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This

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makes

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it

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easier

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to

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cross

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analyse

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the

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data

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Data

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lakes

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which

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essentially

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have

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unlimited

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amounts

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of

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space

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are

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cost

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effective

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have

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very

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precise

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security

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protocols

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for

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example

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it

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is

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possible

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to

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limit

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a

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system’s

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access

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to

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specific

00:02:23.135 --> 00:02:23.477
pieces

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of

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data

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only

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and

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they

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allow

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for

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interfacing

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any

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kinds

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of

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existing

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data

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warehouses

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and

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services

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Although

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the

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creation

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of

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a

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data

00:02:31.738 --> 00:02:31.930
lake

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alone

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is

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a

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huge

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step

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forward

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for

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many

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organisations

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this

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still

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doesn’t

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help

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them

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analyse

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the

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data

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For

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that

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a

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data

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specialist

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will

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create

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various

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preset

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reports

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within

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these

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systems

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that

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the

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correct

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people

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can

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then

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keep

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track

00:02:47.086 --> 00:02:47.246
of

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in

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real

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time

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Here’s

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a

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simplified

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example

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optimising

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a

00:02:51.946 --> 00:02:52.436
popular

00:02:52.496 --> 00:02:52.676
web

00:02:52.742 --> 00:02:53.072
store

00:02:53.120 --> 00:02:53.312
with

00:02:53.352 --> 00:02:53.392
a

00:02:53.449 --> 00:02:53.791
simple

00:02:53.871 --> 00:02:54.271
Excel

00:02:54.337 --> 00:02:54.667
table

00:02:54.853 --> 00:02:55.225
or

00:02:55.358 --> 00:02:55.624
ad

00:02:55.664 --> 00:02:55.944
hoc

00:02:56.124 --> 00:02:56.664
SQL

00:02:56.744 --> 00:02:57.304
queries

00:02:57.490 --> 00:02:57.862
to

00:02:57.894 --> 00:02:58.022
make

00:02:58.048 --> 00:02:58.100
it

00:02:58.164 --> 00:02:58.420
more

00:02:58.484 --> 00:02:58.740
user

00:02:58.793 --> 00:02:59.217
friendly

00:02:59.317 --> 00:02:59.617
can

00:02:59.670 --> 00:02:59.776
be

00:02:59.816 --> 00:02:59.856
a

00:02:59.916 --> 00:03:00.096
big

00:03:00.152 --> 00:03:00.656
challenge

00:03:01.520 --> 00:03:01.776
data

00:03:01.836 --> 00:03:02.016
has

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to

00:03:02.147 --> 00:03:02.253
be

00:03:02.301 --> 00:03:02.733
submitted

00:03:02.786 --> 00:03:02.892
in

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a

00:03:03.034 --> 00:03:03.530
specific

00:03:03.570 --> 00:03:03.690
way

00:03:03.730 --> 00:03:03.850
for

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this

00:03:04.570 --> 00:03:04.890
an

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overview

00:03:05.420 --> 00:03:05.526
of

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it

00:03:05.664 --> 00:03:05.844
can

00:03:05.908 --> 00:03:06.164
only

00:03:06.190 --> 00:03:06.242
be

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generated

00:03:06.868 --> 00:03:07.198
after

00:03:07.238 --> 00:03:07.358
the

00:03:07.470 --> 00:03:07.918
fact

00:03:08.038 --> 00:03:08.398
and

00:03:08.446 --> 00:03:08.638
only

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static

00:03:09.207 --> 00:03:09.672
files

00:03:09.712 --> 00:03:09.832
can

00:03:09.858 --> 00:03:09.910
be

00:03:09.967 --> 00:03:10.309
shared

00:03:10.341 --> 00:03:10.469
with

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colleagues

00:03:11.419 --> 00:03:11.899
On

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the

00:03:12.019 --> 00:03:12.219
other

00:03:12.283 --> 00:03:12.539
hand

00:03:12.744 --> 00:03:13.734
interfaced

00:03:13.830 --> 00:03:14.214
data

00:03:14.284 --> 00:03:14.774
sources

00:03:14.834 --> 00:03:15.014
and

00:03:15.105 --> 00:03:15.651
preset

00:03:15.761 --> 00:03:16.531
reports

00:03:16.597 --> 00:03:16.927
allow

00:03:16.980 --> 00:03:17.086
to

00:03:17.152 --> 00:03:17.482
track

00:03:17.522 --> 00:03:17.642
and

00:03:17.682 --> 00:03:17.802
get

00:03:17.855 --> 00:03:17.961
an

00:03:18.014 --> 00:03:18.438
overview

00:03:18.491 --> 00:03:18.597
of

00:03:18.641 --> 00:03:18.993
customer

00:03:19.041 --> 00:03:19.473
behaviour

00:03:19.533 --> 00:03:19.953
changes

00:03:20.033 --> 00:03:20.193
in

00:03:20.257 --> 00:03:20.513
real

00:03:20.609 --> 00:03:20.993
time

00:03:21.250 --> 00:03:22.026
separate

00:03:22.106 --> 00:03:22.826
resources

00:03:22.879 --> 00:03:22.985
as

00:03:23.051 --> 00:03:23.541
optimally

00:03:23.567 --> 00:03:23.619
as

00:03:23.690 --> 00:03:24.258
possible

00:03:24.498 --> 00:03:24.978
see

00:03:25.023 --> 00:03:25.293
hidden

00:03:25.373 --> 00:03:25.853
trends

00:03:26.310 --> 00:03:26.811
replenish

00:03:26.859 --> 00:03:27.291
warehouse

00:03:27.357 --> 00:03:27.687
stock

00:03:27.719 --> 00:03:28.007
according

00:03:28.060 --> 00:03:28.166
to

00:03:28.219 --> 00:03:28.484
sales

00:03:28.534 --> 00:03:28.884
figures

00:03:28.944 --> 00:03:29.124
etc

00:03:29.694 --> 00:03:30.402
Predicting

00:03:30.442 --> 00:03:30.562
the

00:03:30.619 --> 00:03:30.961
future

00:03:31.009 --> 00:03:31.201
with

00:03:31.281 --> 00:03:31.601
data

00:03:31.841 --> 00:03:32.801
Once

00:03:32.849 --> 00:03:33.041
this

00:03:33.107 --> 00:03:33.437
first

00:03:33.517 --> 00:03:33.837
step

00:03:33.877 --> 00:03:33.997
has

00:03:34.029 --> 00:03:34.157
been

00:03:34.223 --> 00:03:34.553
taken

00:03:35.139 --> 00:03:35.191
it

00:03:35.244 --> 00:03:35.350
is

00:03:35.398 --> 00:03:35.590
time

00:03:35.643 --> 00:03:35.749
to

00:03:35.781 --> 00:03:35.909
take

00:03:35.929 --> 00:03:35.989
the

00:03:36.069 --> 00:03:36.389
next

00:03:36.449 --> 00:03:36.629
one

00:03:36.682 --> 00:03:36.788
by

00:03:36.852 --> 00:03:37.428
combining

00:03:37.492 --> 00:03:37.748
data

00:03:37.836 --> 00:03:38.540
analysis

00:03:38.572 --> 00:03:38.700
with

00:03:38.758 --> 00:03:39.338
artificial

00:03:39.393 --> 00:03:40.053
intelligence

00:03:40.333 --> 00:03:40.933
which

00:03:40.973 --> 00:03:41.173
helps

00:03:41.199 --> 00:03:41.251
to

00:03:41.304 --> 00:03:41.728
discover

00:03:41.816 --> 00:03:42.608
anomalies

00:03:42.634 --> 00:03:42.686
in

00:03:42.750 --> 00:03:43.006
real

00:03:43.118 --> 00:03:43.566
time

00:03:44.114 --> 00:03:44.522
create

00:03:44.562 --> 00:03:44.682
and

00:03:44.762 --> 00:03:45.322
analyse

00:03:45.375 --> 00:03:45.799
possible

00:03:45.867 --> 00:03:46.275
future

00:03:46.355 --> 00:03:47.075
scenarios

00:03:47.605 --> 00:03:47.955
predict

00:03:48.046 --> 00:03:48.592
trends

00:03:48.892 --> 00:03:49.312
and

00:03:49.369 --> 00:03:49.711
gather

00:03:49.731 --> 00:03:49.791
the

00:03:49.839 --> 00:03:50.031
type

00:03:50.084 --> 00:03:50.190
of

00:03:50.238 --> 00:03:50.670
knowledge

00:03:50.702 --> 00:03:50.830
from

00:03:50.850 --> 00:03:50.910
the

00:03:50.990 --> 00:03:51.310
data

00:03:51.406 --> 00:03:51.790
that

00:03:51.816 --> 00:03:51.946
would

00:03:52.016 --> 00:03:52.506
usually

00:03:52.554 --> 00:03:52.746
take

00:03:52.852 --> 00:03:53.382
hours

00:03:53.702 --> 00:03:53.862
if

00:03:53.922 --> 00:03:54.102
not

00:03:54.182 --> 00:03:54.502
days

00:03:54.555 --> 00:03:54.661
or

00:03:54.729 --> 00:03:55.137
months

00:03:55.430 --> 00:03:55.536
to

00:03:55.606 --> 00:03:56.096
compile

00:03:56.296 --> 00:03:57.535
Implementing

00:03:57.585 --> 00:03:58.085
artificial

00:03:58.134 --> 00:03:58.722
intelligence

00:03:58.762 --> 00:03:58.882
has

00:03:58.914 --> 00:03:59.042
been

00:03:59.106 --> 00:03:59.362
made

00:03:59.442 --> 00:03:59.602
so

00:03:59.670 --> 00:04:00.078
simple

00:04:00.149 --> 00:04:00.717
nowadays

00:04:00.829 --> 00:04:01.277
that

00:04:01.341 --> 00:04:01.597
even

00:04:01.637 --> 00:04:01.917
someone

00:04:01.977 --> 00:04:02.157
who

00:04:02.197 --> 00:04:02.317
has

00:04:02.397 --> 00:04:02.557
no

00:04:02.617 --> 00:04:03.277
specialised

00:04:03.337 --> 00:04:03.997
preparation

00:04:04.023 --> 00:04:04.075
in

00:04:04.095 --> 00:04:04.155
the

00:04:04.235 --> 00:04:04.635
field

00:04:04.735 --> 00:04:05.035
can

00:04:05.088 --> 00:04:05.194
do

00:04:05.247 --> 00:04:05.353
it

00:04:05.753 --> 00:04:06.393
It

00:04:06.419 --> 00:04:06.471
is

00:04:06.516 --> 00:04:06.786
enough

00:04:06.812 --> 00:04:06.864
to

00:04:06.912 --> 00:04:07.104
know

00:04:07.136 --> 00:04:07.264
that

00:04:07.344 --> 00:04:07.664
most

00:04:07.730 --> 00:04:08.060
cloud

00:04:08.100 --> 00:04:08.380
service

00:04:08.452 --> 00:04:09.100
suppliers

00:04:09.196 --> 00:04:09.580
have

00:04:09.620 --> 00:04:09.980
different

00:04:10.060 --> 00:04:10.300
pre

00:04:10.364 --> 00:04:10.620
made

00:04:10.682 --> 00:04:11.178
services

00:04:11.231 --> 00:04:11.496
known

00:04:11.576 --> 00:04:11.736
as

00:04:11.816 --> 00:04:12.696
application

00:04:12.749 --> 00:04:13.332
programming

00:04:13.404 --> 00:04:14.124
interfaces

00:04:14.337 --> 00:04:14.763
or

00:04:15.003 --> 00:04:15.963
APIs

00:04:16.603 --> 00:04:16.681
for

00:04:16.738 --> 00:04:17.080
making

00:04:17.144 --> 00:04:17.400
data

00:04:17.453 --> 00:04:17.718
based

00:04:17.806 --> 00:04:18.598
forecasts

00:04:18.964 --> 00:04:19.470
identifying

00:04:19.541 --> 00:04:20.109
patterns

00:04:20.555 --> 00:04:21.061
identifying

00:04:21.141 --> 00:04:21.701
objects

00:04:21.741 --> 00:04:21.861
and

00:04:21.967 --> 00:04:22.497
faces

00:04:22.550 --> 00:04:22.656
in

00:04:22.736 --> 00:04:23.216
images

00:04:23.236 --> 00:04:23.296
and

00:04:23.376 --> 00:04:23.856
videos

00:04:24.109 --> 00:04:25.132
identifying

00:04:25.223 --> 00:04:25.769
voices

00:04:25.909 --> 00:04:26.329
and

00:04:26.372 --> 00:04:26.802
converting

00:04:26.834 --> 00:04:26.962
them

00:04:27.015 --> 00:04:27.121
to

00:04:27.233 --> 00:04:27.681
text

00:04:27.741 --> 00:04:27.921
and

00:04:27.985 --> 00:04:28.241
vice

00:04:28.307 --> 00:04:28.637
versa

00:04:29.407 --> 00:04:29.907
monitoring

00:04:29.927 --> 00:04:29.987
the

00:04:30.077 --> 00:04:30.707
context

00:04:30.733 --> 00:04:30.785
of

00:04:30.825 --> 00:04:30.865
a

00:04:30.920 --> 00:04:31.580
conversation

00:04:31.640 --> 00:04:31.820
etc

00:04:32.284 --> 00:04:32.860
that

00:04:32.900 --> 00:04:33.020
can

00:04:33.068 --> 00:04:33.260
come

00:04:33.286 --> 00:04:33.338
to

00:04:33.398 --> 00:04:33.818
various

00:04:33.884 --> 00:04:34.610
conclusions

00:04:34.650 --> 00:04:34.770
and

00:04:34.818 --> 00:04:35.010
make

00:04:35.063 --> 00:04:35.646
predictions

00:04:35.699 --> 00:04:35.964
based

00:04:36.044 --> 00:04:36.204
on

00:04:36.284 --> 00:04:36.604
data

00:04:36.924 --> 00:04:37.404
Of

00:04:37.449 --> 00:04:37.719
course

00:04:38.305 --> 00:04:38.357
it

00:04:38.410 --> 00:04:38.516
is

00:04:38.569 --> 00:04:38.993
possible

00:04:39.046 --> 00:04:39.152
to

00:04:39.197 --> 00:04:39.467
create

00:04:39.527 --> 00:04:39.787
one’s

00:04:39.907 --> 00:04:40.267
own

00:04:40.427 --> 00:04:40.747
AI

00:04:40.818 --> 00:04:41.386
services

00:04:41.439 --> 00:04:41.545
or

00:04:41.602 --> 00:04:41.944
models

00:04:42.014 --> 00:04:42.504
instead

00:04:43.264 --> 00:04:43.384
but

00:04:43.454 --> 00:04:43.944
usually

00:04:44.200 --> 00:04:44.584
this

00:04:44.610 --> 00:04:44.662
is

00:04:44.710 --> 00:04:44.902
more

00:04:44.942 --> 00:04:45.302
difficult

00:04:45.355 --> 00:04:45.461
to

00:04:45.567 --> 00:04:45.779
do

00:04:45.939 --> 00:04:46.419
and

00:04:46.490 --> 00:04:47.058
requires

00:04:47.138 --> 00:04:47.218
a

00:04:47.286 --> 00:04:47.694
larger

00:04:47.744 --> 00:04:48.244
investment

00:04:48.524 --> 00:04:49.364
However

00:04:49.956 --> 00:04:50.084
this

00:04:50.116 --> 00:04:50.244
does

00:04:50.304 --> 00:04:50.484
not

00:04:50.548 --> 00:04:50.804
mean

00:04:50.820 --> 00:04:50.884
that

00:04:50.937 --> 00:04:51.123
it’s

00:04:51.188 --> 00:04:51.838
impossible

00:04:51.891 --> 00:04:51.997
to

00:04:52.077 --> 00:04:52.317
use

00:04:52.365 --> 00:04:52.557
more

00:04:52.623 --> 00:04:53.349
complicated

00:04:53.509 --> 00:04:53.829
AI

00:04:53.900 --> 00:04:54.468
services

00:04:54.608 --> 00:04:55.028
for

00:04:55.088 --> 00:04:55.588
one’s

00:04:55.623 --> 00:04:55.903
business

00:04:56.154 --> 00:04:57.180
Larger

00:04:57.246 --> 00:04:57.576
cloud

00:04:57.626 --> 00:04:57.976
service

00:04:58.040 --> 00:04:58.616
suppliers

00:04:58.648 --> 00:04:58.776
have

00:04:58.816 --> 00:04:58.856
a

00:04:58.936 --> 00:04:59.496
variety

00:04:59.522 --> 00:04:59.574
of

00:04:59.636 --> 00:05:00.132
services

00:05:00.192 --> 00:05:00.372
for

00:05:00.432 --> 00:05:00.852
quickly

00:05:00.902 --> 00:05:01.252
running

00:05:01.412 --> 00:05:01.732
AI

00:05:01.820 --> 00:05:02.524
clusters

00:05:02.644 --> 00:05:03.004
and

00:05:03.070 --> 00:05:03.400
often

00:05:03.912 --> 00:05:04.040
they

00:05:04.056 --> 00:05:04.120
have

00:05:04.160 --> 00:05:04.200
a

00:05:04.280 --> 00:05:04.520
big

00:05:04.584 --> 00:05:05.160
catalogue

00:05:05.186 --> 00:05:05.238
of

00:05:05.338 --> 00:05:05.638
pre

00:05:05.698 --> 00:05:06.118
trained

00:05:06.186 --> 00:05:06.594
models

00:05:06.674 --> 00:05:06.994
that

00:05:07.054 --> 00:05:07.234
can

00:05:07.291 --> 00:05:07.633
easily

00:05:07.686 --> 00:05:07.792
be

00:05:07.852 --> 00:05:08.272
adapted

00:05:08.312 --> 00:05:08.432
for

00:05:08.532 --> 00:05:08.832
use

00:05:09.152 --> 00:05:09.952
Today

00:05:10.560 --> 00:05:10.752
most

00:05:10.818 --> 00:05:11.307
Estonian

00:05:11.363 --> 00:05:11.867
companies

00:05:11.907 --> 00:05:12.027
are

00:05:12.080 --> 00:05:12.345
still

00:05:12.395 --> 00:05:12.895
struggling

00:05:12.911 --> 00:05:12.975
with

00:05:13.015 --> 00:05:13.135
the

00:05:13.201 --> 00:05:13.531
first

00:05:13.627 --> 00:05:14.011
step

00:05:14.267 --> 00:05:14.971
They

00:05:14.991 --> 00:05:15.051
are

00:05:15.091 --> 00:05:15.291
still

00:05:15.336 --> 00:05:15.606
trying

00:05:15.632 --> 00:05:15.684
to

00:05:15.716 --> 00:05:15.844
make

00:05:15.897 --> 00:05:16.162
sense

00:05:16.215 --> 00:05:16.321
of

00:05:16.347 --> 00:05:16.477
their

00:05:16.557 --> 00:05:16.877
data

00:05:16.997 --> 00:05:17.357
and

00:05:17.421 --> 00:05:17.677
find

00:05:17.741 --> 00:05:17.997
ways

00:05:18.023 --> 00:05:18.075
of

00:05:18.141 --> 00:05:18.471
using

00:05:18.491 --> 00:05:18.551
the

00:05:18.615 --> 00:05:18.871
data

00:05:18.911 --> 00:05:19.031
for

00:05:19.075 --> 00:05:19.427
business

00:05:19.520 --> 00:05:19.985
gains

00:05:19.985 --> 00:05:20.305
Often

00:05:20.417 --> 00:05:20.545
this

00:05:20.598 --> 00:05:20.704
is

00:05:20.752 --> 00:05:21.184
attempted

00:05:21.216 --> 00:05:21.344
with

00:05:21.444 --> 00:05:21.744
old

00:05:21.808 --> 00:05:22.384
solutions

00:05:22.864 --> 00:05:23.024
by

00:05:23.077 --> 00:05:23.501
creating

00:05:23.565 --> 00:05:23.821
more

00:05:23.885 --> 00:05:24.141
data

00:05:24.199 --> 00:05:24.779
warehouses

00:05:24.919 --> 00:05:25.339
and

00:05:25.373 --> 00:05:25.577
adding

00:05:25.625 --> 00:05:25.817
more

00:05:25.883 --> 00:05:26.213
local

00:05:26.277 --> 00:05:26.853
analytics

00:05:26.908 --> 00:05:27.568
applications

00:05:27.808 --> 00:05:28.288
but

00:05:28.341 --> 00:05:28.447
in

00:05:28.509 --> 00:05:29.005
practice

00:05:29.591 --> 00:05:29.643
it

00:05:29.663 --> 00:05:29.723
has

00:05:29.780 --> 00:05:30.122
become

00:05:30.175 --> 00:05:30.440
clear

00:05:30.488 --> 00:05:30.680
that

00:05:30.720 --> 00:05:30.920
these

00:05:30.973 --> 00:05:31.397
attempts

00:05:31.517 --> 00:05:31.877
all

00:05:31.989 --> 00:05:32.437
fail

00:05:32.543 --> 00:05:33.073
since

00:05:33.126 --> 00:05:33.232
it

00:05:33.258 --> 00:05:33.310
is

00:05:33.370 --> 00:05:33.550
not

00:05:33.612 --> 00:05:34.108
possible

00:05:34.161 --> 00:05:34.267
to

00:05:34.317 --> 00:05:34.667
achieve

00:05:34.707 --> 00:05:34.827
the

00:05:34.887 --> 00:05:35.307
results

00:05:35.352 --> 00:05:35.622
people

00:05:35.642 --> 00:05:35.702
are

00:05:35.742 --> 00:05:36.022
looking

00:05:36.122 --> 00:05:36.422
for

00:05:36.486 --> 00:05:36.742
with

00:05:36.790 --> 00:05:36.982
this

00:05:37.050 --> 00:05:37.458
method

00:05:37.658 --> 00:05:38.658
Cloud

00:05:38.738 --> 00:05:39.378
services

00:05:39.746 --> 00:05:39.938
data

00:05:40.018 --> 00:05:40.418
lakes

00:05:40.868 --> 00:05:41.368
artificial

00:05:41.417 --> 00:05:42.005
intelligence

00:05:42.065 --> 00:05:42.245
and

00:05:42.295 --> 00:05:42.645
machine

00:05:42.707 --> 00:05:43.203
learning

00:05:43.363 --> 00:05:43.843
are

00:05:43.903 --> 00:05:44.083
all

00:05:44.145 --> 00:05:44.641
actually

00:05:44.721 --> 00:05:45.041
much

00:05:45.089 --> 00:05:45.281
more

00:05:45.361 --> 00:05:45.841
easily

00:05:45.897 --> 00:05:46.401
available

00:05:46.521 --> 00:05:46.881
and

00:05:46.929 --> 00:05:47.121
more

00:05:47.212 --> 00:05:47.758
useful

00:05:47.854 --> 00:05:48.238
than

00:05:48.286 --> 00:05:48.478
most

00:05:48.523 --> 00:05:48.793
people

00:05:48.833 --> 00:05:49.033
would

00:05:49.099 --> 00:05:49.429
think

00:05:49.625 --> 00:05:50.785
Originally

00:05:50.841 --> 00:05:51.345
published

00:05:51.425 --> 00:05:51.585
at

00:05:51.865 --> 00:05:53.265
https

00:05:55.185 --> 00:05:56.544
www

00:05:56.810 --> 00:05:58.462
admcloudtech

00:05:58.662 --> 00:05:59.262
com

00:05:59.475 --> 00:05:59.901
on

00:05:59.954 --> 00:06:00.219
April

00:06:00.299 --> 00:06:00.939
27

00:06:01.419 --> 00:06:02.377
2019