GRUPPO TELECOM ITALIA

TIM SWARM Joint Open Lab

International Workshop on Consumers and the Internet of ThingsWien, April 2016

Claudio Borean

Human and Artificial Intelligence inthe Internet of Things: a possible Balance?

4 IoT: from data collection to services

4 Two “Game-changers” for IoT

4 Humans and AI

4 The «INTrEPID» example

Summary

Swarm Joint Open LabClaudio Borean

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Lab: Beyond the Internet of things (IoT)

Areas: Internet of everything and distributed systems to enable new services

SWARM Joint Open Lab studies and design innovative services leveraging on theinteractions of a multitude (“swarm”) of people, things, data, places, and on thecompetitive assets of the telco operator. New service concepts and new technologiesbased on complex adaptive systems (swarms) are explored and developed.

Swarm Joint Open LabClaudio Borean

JOL SWARM

AREAS:SWARMINTELLIGENCE,ARTIFICIALINTELLIGENCE,MACHINELEARNING,INTERNETOFTHINGS,COOPERATIVE

APPLICATIONS

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IoT: from data collection to AI-based servicesStarted with pure data collection à then control and analytics to help people understand the value à to self-sustained systems

Swarm Joint Open LabClaudio Borean

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Game-changers for IoTDeep learning: part of the machine learningfield; use of Deep neural networks with ahierarchy of multiple layers that mimic thenetwork of our brain

Swarm Joint Open LabClaudio Borean

BlockChain: enabled by Ethereumplatform, allow (among other features)decentralization of transactions operatedby the «things»

Fed by Big Data push AI further («AlphaGO») Open new dynamic business models basedon autonomous systems

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Humans and AI: Peer-to-Peer IoE

Swarm Joint Open LabClaudio Borean

* Source: http://www.ibm.com/common/ssi/cgi-bin/ssialias?subtype=XB&i nfotype=PM&appname=GBSE_GB_TI_U SEN&htmlfid=GBE03620USEN&attachm ent=GBE03620U SEN.PDF

4 Interactive smart devices with AI features able to build value through interactions with humans: cyber-physical system with seamless integration among human and artificial intelligence

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An example.. The INTrEPID Project Pilot

Claudio BoreanSwarm Joint Open Lab

http://www.fp7-intrepid.eu

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Context: “Cognitive” IoT4 Cyber and Physical system (human and machine in-the-loop)

4 Learn from sensors and user behavior and “close-the-loop”

4 Work with legacy system (also legacy no-IoT devices present)

Claudio Borean

“System Brain”: algorithms, Machine

learning and “control” strategies

Humans (e.g.

feedbacks)

Measures from IOT DEVICES

(i.e. CONNECTED

APPLIANCES)

SOLUTION:LEVERAGING ON HUMANS TO «CLOSE THE LOOP») and gatherinformation

Legacy Devices

IoTDevices

Swarm Joint Open Lab

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Learning from habits..

Swarm Joint Open LabClaudio Borean

INTrEPID home

System

INTrEPID CloudBrain

HabitsdetectionMeasure

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…To start changing user behavior with proper schedules

Swarm Joint Open LabClaudio Borean

INTrEPID Cloud Brain

Activate or schedule delay start

Brain initiallyschedules starting

from activation time close to habits

GAIN TRUST from the users and maximize

acceptance rate

After this try to MOVE habits to fit desired

load profile

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Trying different ways of interacting to transfer value of IoT…

Claudio Borean

Newsletter#1 - Understanding your standby consumption

Newsletter#2 - Your total power consumption

Newsletter#3 - Your fridge energy consumption

Newsletter#4 - Your washing machine energy consumption

Newsletter#5 - Your dishwasher energy consumption

Newsletter#6 - Your oven energy consumption

Newsletter#7 - INTrEPID 2.0 features

Newsletter#8 - Your TV energy consumption

Newsletter#9 - The INTrEPID District-Game

Newsletter#10 - Trends on your standby consumption

Newsletter#11 - The INTrEPID District-Game (update)

Swarm Joint Open Lab

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…and trying different forms of engagement to have “Humans in the control loop”: CPS Game

Claudio BoreanSwarm Joint Open Lab

Active engagement: INTrEPID game

Increase awareness impact : INTrEPID District

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We tracked how the users were engaging

Claudio Borean

+95% trendsMobile AppAnalytics TRENDS

Swarm Joint Open Lab

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..and measured reaction to load shift recommendations

Claudio Borean

Suggestions were then set far from user habits to

measure user reaction

Swarm Joint Open Lab

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Pilot feedback video

INTrEPID Pilot VIDEO

Claudio BoreanSwarm Joint Open Lab

http://jol.telecomitalia.com/jolswarm/intrepid-italian-pilot/

Thanks andQ&A!

claudio.borean@telecomitalia.it

Claudio BOREANclaudio.borean@telecomitalia.it Joint Open Lab SWARM http://jol.telecomitalia.com/jolswarm/