Cognitive IoT: a friend or a foe?Raffaele Giaffreda - CREATE-NET RE.WORK/TECH 18 Sept 2014, London

Outline1

2

34what the web will

tell you about IoT

and cognitive

society challenges

$$$$$$$$biz challenges & pitfalls

NO GAIN WITHOUT PAIN…

IoT + Cognitive Computing =

Cognitive IoTThe$Cogni*ve$IoT$

1

perceived pros and cons

The Dark Web

50bln by 2020

$14tln next 10yrssmar

t-*

privacyBig Brotherautomation

sustainability robocalypse

efficiencyIo

‘B’T

1

Friends or Foes for mankind?

http://www.eecs.mit.edu/news-events/media/self-assembling-robots-are-here

Baxter

Eugene

IBM Watson

MS Cortana

iPhone Siri

1

the example

basic need: reduce my energy bill without giving up on comfort…WHILE I DO STG ELSE!

basic ingredients: motion sensors, temperature sensors, learning algorithms

basic solution: learn user preferences as she sets temp, ‘I AM AWAY’ mode, etc.

2

help & support with “non value-add” activities

2

basic need: bridge the gap between users and surrounding connected objects (sensors, actuators)

assumptions: NLP not a problem anymore (Siri, Cortana, IBM Watson etc.); semantic annotation of objects, data models

components: (Composite) Virtual Objects + Real World Modelling

data models + semantic-based descriptions enable the automated selection of objects, suitable to execute the task at hand

machine learning algorithms and RWK representation

3

Observed(and+Actuated)RW+Entities

Observed(and+Impacted)

Actor

RealWorld

Sensor'Source

Data+Source/Sink+Virtualization

Sensor+Source

Sensor'Source

Actuator+Sink

Virtual+Sensor

Virtual+Actuator

Service+ExecutionHut.

DomainExpert+/

Developer

ServiceCrequesting

Actor

RWK+Model

Virtual+Sensor

Cor.

Adp.

Hypothesis

RWK$Valida*on$CVO$$$$$$$$$$$$$

ML$trained$algorithm$

Service$Request$$(maintain'room'comfort)'

Service$Execu*on$Request$

Execu*on$CVO$

Actuate'

VOs$DATA$PLANE$

FB1$

CVO$observers$

CTRL$PLANE$

FB2$

q$r$

s$

p$

CVO$$observers$

EXEC$PLANE$

RWK'Model'

RED:$associated$with$RWK$modeling$$

CHANGING'THE'RWK'MODEL'

BLUE:$associated$with$CVO$/$VO$$

CHANGING'THE'ROOM'CONDITIONS'

SK'Model'SK$Valida*on$CVO$

DE'for'SK'

DE'for'RWK'

3

some%research%results%Results (some) +

Biz perspective4 $$$$$$$$biz

challenges & pitfalls

iCore trials the biz perspectiveThales + Alcatel Lucent Bell Labs safety

scenario + implications for network

asset management in a hospital track medical devices + usage statistics

city traffic patterns characterisation (Santander + Athens)

4$$$$$$$$biz challenges & pitfalls

Trento Hospital “S.ta Chiara”

4 $$$$$$$$biz challenges & pitfalls

behind the scenes

USAGE&

STATIST

ICS&

Validate

Train

Execute

RWO2parameter2reconfiguration2recommendations2to2improve2energy2

efficiency2of2location2sensorsIn2the2demo2implementation,2location2data2of2objects2is2

simulated

Database2of2location2information(spatial2&2temporal)2of2objects

1

2

2a

3

4

4a

5

6

7

8

4

$$$$$$$$biz challenges & pitfalls

Observed(and+Actuated)RW+Entities

Observed(and+Impacted)

Actor

RealWorld

Sensor'Source

Data+Source/Sink+Virtualization

Sensor+Source

Sensor'Source

Actuator+Sink

Virtual+Sensor

Virtual+Actuator

Service+ExecutionHut.

DomainExpert+/

Developer

ServiceCrequesting

Actor

RWK+Model

Virtual+Sensor

Cor.

Adp.

Hypothesis

RWK$Valida*on$CVO$$$$$$$$$$$$$

ML$trained$algorithm$

Service$Request$$(maintain'room'comfort)'

Service$Execu*on$Request$

Execu*on$CVO$

Actuate'

VOs$DATA$PLANE$

FB1$

CVO$observers$

CTRL$PLANE$

FB2$

q$r$

s$

p$

CVO$$observers$

EXEC$PLANE$

RWK'Model'

RED:$associated$with$RWK$modeling$$

CHANGING'THE'RWK'MODEL'

BLUE:$associated$with$CVO$/$VO$$

CHANGING'THE'ROOM'CONDITIONS'

SK'Model'SK$Valida*on$CVO$

DE'for'SK'

DE'for'RWK' understand the request

select a suitable template

deploy based on env knowledge

gather feedback

factor out ML knowledge

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Smart objects need “smart” people!

“WE are retired an not on a regular schedule. It puts itself into Away Mode all the time just because we do not walk in front of it. Sat I had a party with 12 people here. We were all in the great room and kitchen and dining room - not in the hall leading to the Master bedroom. The nest went into AWAY mode and before I knew it my house was at 75 -- everyone miserable. In the middle of the night it does the same thing. I hate it. I have tried to turn the away feature off online and on the unit, but it keeps coming back on. Also I tried setting the temo to 73 at every possible time. It ignores what I set and still goes into away mode.”

shall we say “educated”?PIT

FALLS

Source: https://nest.com/blog/2011/11/08/teaching-nest-to-save-energy/

2society challenges

making IoT more accessibleeducate = expose to risks and consequences

give end-users the ability to appreciate the advantages of the technology and at the same time help them assess if it is suitable to them beyond the selling points

only way to address reluctance (“fear” perceived upfront rather than the advantages)

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A glimpse into our future ;-)

spend our days using apps to control various robots to work for us

run away from them in “apocalypse design”

motorbike

further info / linksP.   Vlacheas,   R.   Giaffreda   et   al.   "Enabling   Smart   Ci;es  Through   a   Cogni;ve   Management   Framework   for   the  Internet   of   Things“,   IEEE   Communica,ons   Magazine   -­‐  Special  Issue  on  Smart  Ci;es  (June  2013)  

http://ow.ly/BxSz3 http://ow.ly/BxSrt

Thank you!

Raffaele&Giaffreda&Smart&IoT&(RIoT)&Research&Area&Head&

(CREATE:NET)&

IEEE&IoT&Newsle=er&Editor&in&Chief&

EU&FP7&iCore&Project&Coordinator&

raffaele.giaffreda@create-net.org0&

Websites:&&

www.create:net.org/research/research:areas/riot&&

www.iot:icore.eu&