Chatbots and the 2nd industrial revolution

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GREEN RED BLUE BLACK DARK GREY LIGHT GREY Ultimate test slide by NRKbeta: http://nrkbeta.no 1 px 16/9

Transcript of Chatbots and the 2nd industrial revolution

Page 1: Chatbots and the 2nd industrial revolution

GREEN RED BLUE

BLA

CK

DA

RK

GR

EY

LIGH

T GR

EY

Ultimate test slide by NRKbeta:http://nrkbeta.no

1 px

16/9

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GREEN RED BLUE

BLA

CK

DA

RK

GR

EY

LIGH

T GR

EY

1 px

Ultimate test slide by NRKbeta:http://nrkbeta.no

16/9

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GREEN RED BLUE

BLA

CK

DA

RK

GR

EY

LIGH

T GR

EY

Ultimate test slide by NRKbeta:http://nrkbeta.no

1 px

16/9

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Chatbots Norsk arkivråd, okt 2017

Geir Børdalen, NRK

og den #2 industrielle revolusjon

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Chatbot

The first lesson

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Chat - bot

The first lesson

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Chatter - robot

The first lesson

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Chatbot

«Samtale roboten» (nor)«Informal talk robot» (eng)

The first lesson

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Alexa - «Hallo»

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Amazon Echo

Amazon Echo dot

Navn: Alexa

Amazon #138 Forbes

341000 ansatte

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Alexa - «Who are you?»

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Alexa - «Who is HAL9000?»

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Google Home

Navn: «OK Google» eller «Hey Google»

Google #2 Forbes

72000 ansatte

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OK Google - «Hallo»

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OK Google - «Who are you?»

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OK Google «Who is HAL9000?»

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Hvor langt har de kommet?

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NRK båndarkiv (Sony DigiBeta)

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Stemmegjenkjenning kan være en utfordring…

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Burnistoun (BBC Scotland) - Voice recognition

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Marvin - the paranoid android

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«You´re plastic pal who´s fun to be with.»The marketing division of the Sirius Cybernetics Corporation

(Douglas Adams)

Marvin - the paranoid android

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Alexa - «What is the answer to life, the

universe and everything?»

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Alexa - «Why 42?»

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SEMANTICCOMPUTING

COGNITIVE COMPUTING

SENSORS

#2Industrielle revolusjon

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#GartnerSYM

© 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it’s affiliates.

"If you went to bed last night as an industrial company...

...you're going to wake up in the morning as a software and analytics company."

Jeffrey ImmeltCEO (-aug 2017), General Electric2014

Gartner

Forbes #36 295 000 ansatte

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Dette har holdt på en stund…

Siri Apple

Cortana Microsoft

Watson IBM

Pepper Aldebaran robotics/ Softbank

Amelia IPsoft

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2011 - Watson vinner Jeopardy

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DinSide

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Kampanje Mars 2017

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EnergiNorge

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Alexa - «Play Bruce Springsteen»

Alexa - «Play the group «eye to eye»»

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Tilbake til gutta i heisen…

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OK Google - «Do you do something - wrong?»

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1. Ikke skade et menneske… 2. Adlyde alle ordre som kommer fra et menneske (Obs! Konflikt med regel 1)

3. Beskytte seg selv (Obs! Regel 1 og 2)

En robot skal…

Isaac Asimov

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NRKbeta

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NRKbeta

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NRKbeta

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NRKbeta

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NRKbeta

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NRKbeta

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Waymo - autonom bil (Google X) Foto: Eirik Solheim

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Esther Westerveld

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Men hva når vi får det til …

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Og hva har skjedd med båndene til NRK?

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Programmene er nå på server eller datatape! Restaureringsteamet: «Omtrent ferdig!» (Tok ca 17 år…)

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Origo«Et nytt fundament for NRKs historier»

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“En tilstrekkelig avansert teknologi, kan ikke skilles fra magi”Arthur C Clarke

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“En tilstrekkelig avansert teknologi, kan ikke skilles fra magi.”Arthur C Clarke

Forfatter av «2001 en romodysse» og HAL9000og mannen som formulerte prinsippet om geo-stasjonære satellitter!

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Quality andeditorial Control

Broadcasting/playout/publishing/archiving

Archive uneditedmaterial

Mastering

Encrypt metadata oflimited material

Store asset

Enhance metadatausing external data

sources

Archive items andprogrammes

<<Fjernsynsoppgaver>>Sub titling

Extractrecorded

musicTransfer to additionalstorage, purge MDB

Metadatamaterial

Confirmpublication

Storage layer

Publishing MAM

Live distribution

Distribution radio/TV

Delete uneditedmaterial

Edit metadata and confirm complience

MDB

Capturing live produced music Live music in show?

Recording contains music

Alternative secret storage

Hemmelig klausulert råstoff?

DeleteUnedited material with archival value

Rutiner etter produksjon

Sendeavvikling overstyrer dagplan

MDBSende til CDN

MDB

MDB

MDB

MDB

To NB

Utklippet musikk (lyd)

Sending

Publishable material (Archive and production)

AsRunLog

Recording of linear broadcasting for legal digital deposit

<<Fjernsyn>>cleanfeed

Publiseringsvalg

Secret material

Formats

Subtitles

MDB

MDBUnedited material with archival value

Formats

MDB

Ad libitum

no

No

Yes

yes

no

yes

Korrigerer

purge

restricted

RaskereEnklere

TilgjengeligAutoMAGISK!

Automatisk

Brukervennlig for MEG- hele tiden!

Modulbasert arkitektur

Effektivt!

Verdensklasse i historiefortelling

Origo-visjonen

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AutoMAGISKLa meg slippe å tenke på...

Jeg stoler på at «systemet» - tar vare på...

Når jeg søker, finner jeg igjen...

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OrigoMetadatabanken

PotionRadioarkivet

API

GranittAutoritetsregisteret

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OrigoMetadatabanken

PotionRadioarkivet

API

GranittAutoritetsregisteret

Metadatabanken

MLML

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«OK, Google.Play the latest video from NRK - on the TV»

Chromecast 4k

Marius Arnesen

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Marius Arnesen

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Google Home app

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Alexa «skills»

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Alexa «skills»

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Alexa - «What is in the news?»

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Brukerdata

OrigoInnholdsdata

er bare begynnelsen...

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Kobling av interne metadata og analysedata

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Bruker-data

Metadata-banken

Metadata struktur

Autoriteter

Maskinlæring

Linked data (semantisk web)

Datadrevet publisering

Radio

TV

Nyheter

Google analytics

Google bigQuery

Andre som har sett dette, har også sett...

Lignende innhold

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Edward Snowden - Citizenfour

Snowden-dokumentene og Sverige

Selskapene bak USAs avlytting

Vilkår og betingelser

Digitale dissidenter USAs hemmelige avlytting

Snowdens store flukt Historien om Wikileaks

Et møte med Edward Snowden

Datajournalistikk og big data Panamadokumentene

Brukergenererte anbefalinger

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0

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12000

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2017-02-22 2017-02-27 2017-03-04 2017-03-09 2017-03-14 2017-03-19 2017-03-24 2017-03-29 2017-04-03 2017-04-08 2017-04-13 2017-04-18 2017-04-23

Klikket Anbefalt Sett ferdig

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0

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12000

16000

2017-02-22 2017-02-28 2017-03-06 2017-03-12 2017-03-18 2017-03-24 2017-03-30 2017-04-05 2017-04-11 2017-04-17 2017-04-23 2017-04-29 2017-05-05

Klikket Anbefalt Sett ferdig

Klikket

Anbefalt

Sett ferdig

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POC - Maskinlæring (ML)

Robert Engels Andre Lynum Martin Kermit

mfl

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POC - Maskinlæring (ML)

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POC - Maskinlæring (ML) Tale til tekst Stemmegjenkjenning Ansiktsgjenkjenning

OCR-lesing av supre Industrialisering av prosesser

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Nøyaktighet - 99,9% Hvem snakker? - < 40% Hva snakker de om?

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Har vi egentlig bare sett begynnelsen?

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Alexa - «What can you do in 2019?»

OK Google - «What can you do in 2019?»

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https://nrkbeta.no/2017/03/01/nrk-bygger-infrastruktur-for-a-finne-igjen-programmene/

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Geir Børdalen

NRK Med bidrag fra NRK beta, Marius Arnesen, Robert Engels, Eirik Solheim, Andre Lynum, Trond Johansen, Gartner, Google, IBM, Microsoft, Amazon, Douglas Adams og NRK sport.

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