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A New Era of Thinking
© 2016 IBM Corporation
IBM BusinessConnect
A new era of thinking
COGNITIVE
BUILDINGSKim Escherich, Innovation Architect, IBM Watson IoT | @kescherich
Jesper Ladegaard Mikkelsen, Head of IFS & Key Account Excellence, ISS
2
A New Era of Thinking
2 | A New Era of Thinking
Part 1
Cognitive Buildings Crash Course
KIM ESCHERICH
IoT Innovation Architect,IBM Watson IoT | @kescherich
Woodside
4
A New Era of Thinking
Real estate is the 2nd
largest expense on
the income statement
Up to 50% of energy
and water in buildings
are often wasted
By 2025, buildings
will be the #1
consumer of energy
But… if we focus on increasing building efficiency
Employee productivity
increased up to 18%
on average
91% occupancy achieved
by higher building
usage in smarter buildings
Energy usage reduced by
up to 40% and
maintenance cost 10-30%
65% of occupants willing to
help make their workplace
more environmentally
responsible.
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
5
Cognitive Buildings
The number of IoT devices in buildings is rapidly increasing along with new requirements for flexible operation.Cognitive
Buildings are able to autonomously integrate IoTdevices and learn system and user behaviour to optimize performance.
Knowledge
SecurityHVAC Lighting
Data
Artificial	Intelligence
Buildings cooperate
in neighbourhoods
Buildings are
aware of their
energy
performance and
users’ comfort
Buildings trade with
energy providers
Providing Insights
Understand & Learn
Behaviour
Easy Deployment
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
6
Learn Behaviour
Predictive controldown to desk level
Understand energy flow and building
occupancy
Consider comfort preferences of users
Collect context such as weather and
meetings
Too data points even for advanced
analytics
Building Management Evolution
Visualize KPI
Good for ratings
Allows identifying general
issues
Bad for identifying energy
waste
Automated Buildings
(1980 – 2000)
Analyze Energy Consumers
Understand consumption of
rooms and centralassets
Only primary datapoints are
analyzed
Smart Buildings
(2000 – 2015)
Cognitive Buildings
(> 2015)
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
7
The Dark Side of Big Data
not analysis
tools setup
only analyzes
structured
data
Tools can’t
make sense
of data
90%
45%
sensor data
that is never
utilised
28%
17%
USED DATA
DARK DATA
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
8
Example – Tesco Ireland
§ Tesco invested strongly into montioring infrastructure of their stores to make them more energy efficient
§ The collected amountof data was so big that they did not know whatto do with it
§ IBM Research helped them to analyze their data and identify saving potential
160
Stores
110.956
Data Objects
678 TB
Data per annum
25 million Dollar
savings per annum
20%
reducedcooling
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
9
Cognitive Computing
Natural
Human
Interaction
Reason
with
Purpose
Self-
learning
System
Cognitive
Computing
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
10
Various Use Cases and Challenges
DIGITAL ASSET LIFECYCLE
The manual input of data
into a maintenance system
for thousands of assets is a
costly, error prone process.
SEMANTIC INSIGHTS
Analyzing thousands of IoT
devices cannot provide
meaningful insights without
a semantic method.
FLUID SPACES
The lack of real-time
occupancy information
within a building inhibits
effective energy and space
performance.
MY COGNITIVE CAMPUS
Increase productivity of
teams by providing a
comfortable environment
and easy navigation.
MY ARTEFACT
Maintaining the perfect
environment for art
galleries and museums is
critical.
REAL TIME ASSET LOCATION
Finding assets and their
relevant data is
challenging, in particular
when you are in the field.
SELF-LEARNING ENERGY
DIAGNOSER
Energy consumption has
many influences and it is
hard to detect and
diagnose abnormal
consumption.
COGNITIVE ASSET HEALTH
Predictive and preventive
maintenance are immanent
to reduce operation costs,
but, lack the required
sensors.
SCALABLE IOT PLATFORM
Cognitive Buildings require
a highly scalable platform
for data integration and
analysis.
COGNITIVE CONCIERGE
Guiding people to their
rooms and answering their
questions is an central
element of hospitality.
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
11
Scalable IoT Platform
Navigate a campus
via Watson speech
Understand energy flow
and diagnose anomalies
with cognitive analytics
Manage and find
your assets in 3D
Electricity
with IoT Meter
Occupancy
with PIR
Vibration Data
with IoT Sensors
Easily monitor and
maintain assets
before they fail
Understand temperature,
comfort and occupancy in
buildings and data centers
Desk Comfort
Sensors
Cognitive analytics
for deep insights
to unlock new
cost savings.
Customizable IoT
platform that provides
simple integration and
high scalability
Plug-and-play
instrumentation
with IoT devices
Rapid modelling
with laser scanner
Learning
Apac he Sparkdas hDB with R
Vision
Vis ual Rec ognition
Speech
Tex t to Speec hSpeec h to Text
Language
Natural Language
Clas s ifier
Dialog
Integration
Wats on IoTP Pres enc e Insight
INTEGRATE
INTERACT
REASON
LEARN
Reason
Predic tiv e AnalyticsIoT RT Ins ights
Room Book ingIns ights for TwitterIns ights for Weather
TririgaMax imo
Security
Proximity
with BLE
Alc hemy API
© 2016 IBM Corporation
IBM Research& IBM Watson IoT
12
A large API stack is available to build Cognitive Buildings
Language
Vision
AnalyticsIntegration
dashDBwith R
Security
Storage
Mobile
118DevelopmentServicesandAPIonBluemix
STORE
INTEGRATE
INTERACT
REASON
LEARN &
• Multi-modal transportation services
• Alerts before leaving home
• "Please be aware that we are serving fish in the
restaurant" (and you are allergic)
• Remember your umbrella
• Car sharing with colleauges
• Pre-book work area (and you might decide to
work from home)
• Various work-from-home-services
• Walking around guidance
• Pay for your parking in-app (guest)
• Issue mobile parking ticket
• Provide alternative parking
• Find me a parking spot (before arriving)
• Find my car
Weather integration |Transport/city integration |Cognitive HR
analytics |IoT integration |Tririga integration |MobileFirst
GETTING
HERE
MobileFirst|IoT integration (outdoor/camera)|Tririga
integration |Maps 3D |Cognitive advisory services
• Access control
• The concierge knows you and can notify
• The building knows you and can advise/notify
• Alternative authentication means, e.g. combination
of smartphone and biometrics, face recognition,
smart watch + pincode/fingerprint etc.
• Information services - app based
• Counting, crowd and pattern analytics
• Video survelliance
• Anormaly video analytics (security)
ENTERING
ARRIVING
Biometrics |IoT integration |Sensoring |MobileFirst|Tririga
integration |Video analytics |Video contentmanagement
• Get alerts and notifications on building app
(smartphone or iWatch)
• Get around - office maps 2D/3D
• Order hot drinks
• Order light meal
• Check delivery situation on beverage machines
• Manage postal services via app and notifications
• Understand building usage and environment
• Align internal climate with outside
• Space management
MobileFirst|2D/3D maps |IoT Platform | Legacy Integration |
Tririga Integration |Video analytics |Big data analytics
BEING
HERE
• Locate my colleauges
• Who is in my working area today
• Status on infrastructure
• Find me an empty seat based on personal profile
• Optimise usage of office space
• Crowd and usage analytics
Indoor localization |IoT platform |Tririga integration |Cognitive
Analytics |Big data analytics
WORKING
HERE
• Get todays menu at the restaurant
• How long is the queue right now?
• When is it optimal for me to eat?
• Nutritional information compared to
personal health profile
• Order guest tickets
• Order takeaway based on prefernces
Contentmanagement|IoT integration |Video
surveillance |Partner integration |Cognitive
DRINKING
AND
EATING
• Physical meeting room displays
• Reserve meeting room
• Arrange spontaneous meeting (lets
meet in 4 minutes in the cafe)
• Conference support app
• Booked but unused meeting rooms
• Meeting rom outages / defects
Tririga Integration |MobileFirst|Localisation
services |Problem detection |Bookings
MEETING
WITH
OTHERS
• Checking out
• Evaluating the day
• Find my car, bicycle or the path
to the train station
• Heating the car
• Notifying the spouse
LEAVING
IoT Integration |Partner integration |IoT
integration |MobileFirst
COGNITIVE BUILDING TOUCHPOINTS K.Escherich, 2016
14
A New Era of Thinking
Powered by ISS & IBM partnership
15
A New Era of Thinking
Smart & cognitive buildings
Data
Connectivity
Real-time &
Historical
Data insight
Analysis &
WO triggers
Cognitive
predictable
usage
“Making BuildingsTalk”
“OptimisingWorkplace Solutions”
“Connecting People with buildings”
16
A New Era of Thinking
1. Facility Management system
2. Workforce optimization
3. IoT and Cognitive buildings
18
A New Era of Thinking
19
A New Era of Thinking
20
A New Era of Thinking
21
A New Era of Thinking
22
A New Era of Thinking
23
A New Era of Thinking
24
A New Era of Thinking
25
A New Era of Thinking
26
A New Era of Thinking
- combined with the power of cognitive
buildings
27
A New Era of Thinking• Multi-modal transportation services
• Alerts before leaving home
• "Please be aware that we are serving fish in the
restaurant" (and you are allergic)
• Remember your umbrella
• Car sharing with colleauges
• Pre-book work area (and you might decide to
work from home)
• Various work-from-home-services
• Walking around guidance
• Pay for your parking in-app (guest)
• Issue mobile parking ticket
• Provide alternative parking
• Find me a parking spot (before arriving)
• Find my car
Weather integration |Transport/city integration |Cognitive HR
analytics |IoT integration |Tririga integration |MobileFirst
GETTING
HERE
MobileFirst|IoT integration (outdoor/camera)|Tririga
integration |Maps 3D |Cognitive advisory services
• Access control
• The concierge knows you and can notify
• The building knows you and can advise/notify
• Alternative authentication means, e.g. combination
of smartphone and biometrics, face recognition,
smart watch + pincode/fingerprint etc.
• Information services - app based
• Counting, crowd and pattern analytics
• Video survelliance
• Anormaly video analytics (security)
ENTERING
ARRIVING
Biometrics |IoT integration |Sensoring |MobileFirst|Tririga
integration |Video analytics |Video contentmanagement
• Get alerts and notifications on building app
(smartphone or iWatch)
• Get around - office maps 2D/3D
• Order hot drinks
• Order light meal
• Check delivery situation on beverage machines
• Manage postal services via app and notifications
• Understand building usage and environment
• Align internal climate with outside
• Space management
MobileFirst|2D/3D maps |IoT Platform | Legacy Integration |
Tririga Integration |Video analytics |Big data analytics
BEING
HERE
• Locate my colleauges
• Who is in my working area today
• Status on infrastructure
• Find me an empty seat based on personal profile
• Optimise usage of office space
• Crowd and usage analytics
Indoor localization |IoT platform |Tririga integration |Cognitive
Analytics |Big data analytics
WORKING
HERE
• Get todays menu at the restaurant
• How long is the queue right now?
• When is it optimal for me to eat?
• Nutritional information compared to
personal health profile
• Order guest tickets
• Order takeaway based on prefernces
Contentmanagement|IoT integration |Video
surveillance |Partner integration |Cognitive
DRINKING
AND
EATING
• Physical meeting room displays
• Reserve meeting room
• Arrange spontaneous meeting (lets
meet in 4 minutes in the cafe)
• Conference support app
• Booked but unused meeting rooms
• Meeting rom outages / defects
Tririga Integration |MobileFirst|Localisation
services |Problem detection |Bookings
MEETING
WITH
OTHERS
• Checking out
• Evaluating the day
• Find my car, bicycle or the path
to the train station
• Heating the car
• Notifying the spouse
LEAVING
IoT Integration |Partner integration |IoT
integration |MobileFirst
COGNITIVE BUILDING TOUCHPOINTS K.Escherich, 2016
28
A New Era of Thinking
Using Cognitive buildings to improve user satisfaction
by predicting capacity needs…
29
A New Era of Thinking
30
A New Era of Thinking
31
A New Era of Thinking

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Cognitive Buildings

  • 1. 1 A New Era of Thinking © 2016 IBM Corporation IBM BusinessConnect A new era of thinking COGNITIVE BUILDINGSKim Escherich, Innovation Architect, IBM Watson IoT | @kescherich Jesper Ladegaard Mikkelsen, Head of IFS & Key Account Excellence, ISS
  • 2. 2 A New Era of Thinking 2 | A New Era of Thinking Part 1 Cognitive Buildings Crash Course KIM ESCHERICH IoT Innovation Architect,IBM Watson IoT | @kescherich
  • 4. 4 A New Era of Thinking Real estate is the 2nd largest expense on the income statement Up to 50% of energy and water in buildings are often wasted By 2025, buildings will be the #1 consumer of energy But… if we focus on increasing building efficiency Employee productivity increased up to 18% on average 91% occupancy achieved by higher building usage in smarter buildings Energy usage reduced by up to 40% and maintenance cost 10-30% 65% of occupants willing to help make their workplace more environmentally responsible.
  • 5. © 2016 IBM Corporation IBM Research& IBM Watson IoT 5 Cognitive Buildings The number of IoT devices in buildings is rapidly increasing along with new requirements for flexible operation.Cognitive Buildings are able to autonomously integrate IoTdevices and learn system and user behaviour to optimize performance. Knowledge SecurityHVAC Lighting Data Artificial Intelligence Buildings cooperate in neighbourhoods Buildings are aware of their energy performance and users’ comfort Buildings trade with energy providers Providing Insights Understand & Learn Behaviour Easy Deployment
  • 6. © 2016 IBM Corporation IBM Research& IBM Watson IoT 6 Learn Behaviour Predictive controldown to desk level Understand energy flow and building occupancy Consider comfort preferences of users Collect context such as weather and meetings Too data points even for advanced analytics Building Management Evolution Visualize KPI Good for ratings Allows identifying general issues Bad for identifying energy waste Automated Buildings (1980 – 2000) Analyze Energy Consumers Understand consumption of rooms and centralassets Only primary datapoints are analyzed Smart Buildings (2000 – 2015) Cognitive Buildings (> 2015)
  • 7. © 2016 IBM Corporation IBM Research& IBM Watson IoT 7 The Dark Side of Big Data not analysis tools setup only analyzes structured data Tools can’t make sense of data 90% 45% sensor data that is never utilised 28% 17% USED DATA DARK DATA
  • 8. © 2016 IBM Corporation IBM Research& IBM Watson IoT 8 Example – Tesco Ireland § Tesco invested strongly into montioring infrastructure of their stores to make them more energy efficient § The collected amountof data was so big that they did not know whatto do with it § IBM Research helped them to analyze their data and identify saving potential 160 Stores 110.956 Data Objects 678 TB Data per annum 25 million Dollar savings per annum 20% reducedcooling
  • 9. © 2016 IBM Corporation IBM Research& IBM Watson IoT 9 Cognitive Computing Natural Human Interaction Reason with Purpose Self- learning System Cognitive Computing
  • 10. © 2016 IBM Corporation IBM Research& IBM Watson IoT 10 Various Use Cases and Challenges DIGITAL ASSET LIFECYCLE The manual input of data into a maintenance system for thousands of assets is a costly, error prone process. SEMANTIC INSIGHTS Analyzing thousands of IoT devices cannot provide meaningful insights without a semantic method. FLUID SPACES The lack of real-time occupancy information within a building inhibits effective energy and space performance. MY COGNITIVE CAMPUS Increase productivity of teams by providing a comfortable environment and easy navigation. MY ARTEFACT Maintaining the perfect environment for art galleries and museums is critical. REAL TIME ASSET LOCATION Finding assets and their relevant data is challenging, in particular when you are in the field. SELF-LEARNING ENERGY DIAGNOSER Energy consumption has many influences and it is hard to detect and diagnose abnormal consumption. COGNITIVE ASSET HEALTH Predictive and preventive maintenance are immanent to reduce operation costs, but, lack the required sensors. SCALABLE IOT PLATFORM Cognitive Buildings require a highly scalable platform for data integration and analysis. COGNITIVE CONCIERGE Guiding people to their rooms and answering their questions is an central element of hospitality.
  • 11. © 2016 IBM Corporation IBM Research& IBM Watson IoT 11 Scalable IoT Platform Navigate a campus via Watson speech Understand energy flow and diagnose anomalies with cognitive analytics Manage and find your assets in 3D Electricity with IoT Meter Occupancy with PIR Vibration Data with IoT Sensors Easily monitor and maintain assets before they fail Understand temperature, comfort and occupancy in buildings and data centers Desk Comfort Sensors Cognitive analytics for deep insights to unlock new cost savings. Customizable IoT platform that provides simple integration and high scalability Plug-and-play instrumentation with IoT devices Rapid modelling with laser scanner Learning Apac he Sparkdas hDB with R Vision Vis ual Rec ognition Speech Tex t to Speec hSpeec h to Text Language Natural Language Clas s ifier Dialog Integration Wats on IoTP Pres enc e Insight INTEGRATE INTERACT REASON LEARN Reason Predic tiv e AnalyticsIoT RT Ins ights Room Book ingIns ights for TwitterIns ights for Weather TririgaMax imo Security Proximity with BLE Alc hemy API
  • 12. © 2016 IBM Corporation IBM Research& IBM Watson IoT 12 A large API stack is available to build Cognitive Buildings Language Vision AnalyticsIntegration dashDBwith R Security Storage Mobile 118DevelopmentServicesandAPIonBluemix STORE INTEGRATE INTERACT REASON LEARN &
  • 13. • Multi-modal transportation services • Alerts before leaving home • "Please be aware that we are serving fish in the restaurant" (and you are allergic) • Remember your umbrella • Car sharing with colleauges • Pre-book work area (and you might decide to work from home) • Various work-from-home-services • Walking around guidance • Pay for your parking in-app (guest) • Issue mobile parking ticket • Provide alternative parking • Find me a parking spot (before arriving) • Find my car Weather integration |Transport/city integration |Cognitive HR analytics |IoT integration |Tririga integration |MobileFirst GETTING HERE MobileFirst|IoT integration (outdoor/camera)|Tririga integration |Maps 3D |Cognitive advisory services • Access control • The concierge knows you and can notify • The building knows you and can advise/notify • Alternative authentication means, e.g. combination of smartphone and biometrics, face recognition, smart watch + pincode/fingerprint etc. • Information services - app based • Counting, crowd and pattern analytics • Video survelliance • Anormaly video analytics (security) ENTERING ARRIVING Biometrics |IoT integration |Sensoring |MobileFirst|Tririga integration |Video analytics |Video contentmanagement • Get alerts and notifications on building app (smartphone or iWatch) • Get around - office maps 2D/3D • Order hot drinks • Order light meal • Check delivery situation on beverage machines • Manage postal services via app and notifications • Understand building usage and environment • Align internal climate with outside • Space management MobileFirst|2D/3D maps |IoT Platform | Legacy Integration | Tririga Integration |Video analytics |Big data analytics BEING HERE • Locate my colleauges • Who is in my working area today • Status on infrastructure • Find me an empty seat based on personal profile • Optimise usage of office space • Crowd and usage analytics Indoor localization |IoT platform |Tririga integration |Cognitive Analytics |Big data analytics WORKING HERE • Get todays menu at the restaurant • How long is the queue right now? • When is it optimal for me to eat? • Nutritional information compared to personal health profile • Order guest tickets • Order takeaway based on prefernces Contentmanagement|IoT integration |Video surveillance |Partner integration |Cognitive DRINKING AND EATING • Physical meeting room displays • Reserve meeting room • Arrange spontaneous meeting (lets meet in 4 minutes in the cafe) • Conference support app • Booked but unused meeting rooms • Meeting rom outages / defects Tririga Integration |MobileFirst|Localisation services |Problem detection |Bookings MEETING WITH OTHERS • Checking out • Evaluating the day • Find my car, bicycle or the path to the train station • Heating the car • Notifying the spouse LEAVING IoT Integration |Partner integration |IoT integration |MobileFirst COGNITIVE BUILDING TOUCHPOINTS K.Escherich, 2016
  • 14. 14 A New Era of Thinking Powered by ISS & IBM partnership
  • 15. 15 A New Era of Thinking Smart & cognitive buildings Data Connectivity Real-time & Historical Data insight Analysis & WO triggers Cognitive predictable usage “Making BuildingsTalk” “OptimisingWorkplace Solutions” “Connecting People with buildings”
  • 16. 16 A New Era of Thinking 1. Facility Management system 2. Workforce optimization 3. IoT and Cognitive buildings
  • 17.
  • 18. 18 A New Era of Thinking
  • 19. 19 A New Era of Thinking
  • 20. 20 A New Era of Thinking
  • 21. 21 A New Era of Thinking
  • 22. 22 A New Era of Thinking
  • 23. 23 A New Era of Thinking
  • 24. 24 A New Era of Thinking
  • 25. 25 A New Era of Thinking
  • 26. 26 A New Era of Thinking - combined with the power of cognitive buildings
  • 27. 27 A New Era of Thinking• Multi-modal transportation services • Alerts before leaving home • "Please be aware that we are serving fish in the restaurant" (and you are allergic) • Remember your umbrella • Car sharing with colleauges • Pre-book work area (and you might decide to work from home) • Various work-from-home-services • Walking around guidance • Pay for your parking in-app (guest) • Issue mobile parking ticket • Provide alternative parking • Find me a parking spot (before arriving) • Find my car Weather integration |Transport/city integration |Cognitive HR analytics |IoT integration |Tririga integration |MobileFirst GETTING HERE MobileFirst|IoT integration (outdoor/camera)|Tririga integration |Maps 3D |Cognitive advisory services • Access control • The concierge knows you and can notify • The building knows you and can advise/notify • Alternative authentication means, e.g. combination of smartphone and biometrics, face recognition, smart watch + pincode/fingerprint etc. • Information services - app based • Counting, crowd and pattern analytics • Video survelliance • Anormaly video analytics (security) ENTERING ARRIVING Biometrics |IoT integration |Sensoring |MobileFirst|Tririga integration |Video analytics |Video contentmanagement • Get alerts and notifications on building app (smartphone or iWatch) • Get around - office maps 2D/3D • Order hot drinks • Order light meal • Check delivery situation on beverage machines • Manage postal services via app and notifications • Understand building usage and environment • Align internal climate with outside • Space management MobileFirst|2D/3D maps |IoT Platform | Legacy Integration | Tririga Integration |Video analytics |Big data analytics BEING HERE • Locate my colleauges • Who is in my working area today • Status on infrastructure • Find me an empty seat based on personal profile • Optimise usage of office space • Crowd and usage analytics Indoor localization |IoT platform |Tririga integration |Cognitive Analytics |Big data analytics WORKING HERE • Get todays menu at the restaurant • How long is the queue right now? • When is it optimal for me to eat? • Nutritional information compared to personal health profile • Order guest tickets • Order takeaway based on prefernces Contentmanagement|IoT integration |Video surveillance |Partner integration |Cognitive DRINKING AND EATING • Physical meeting room displays • Reserve meeting room • Arrange spontaneous meeting (lets meet in 4 minutes in the cafe) • Conference support app • Booked but unused meeting rooms • Meeting rom outages / defects Tririga Integration |MobileFirst|Localisation services |Problem detection |Bookings MEETING WITH OTHERS • Checking out • Evaluating the day • Find my car, bicycle or the path to the train station • Heating the car • Notifying the spouse LEAVING IoT Integration |Partner integration |IoT integration |MobileFirst COGNITIVE BUILDING TOUCHPOINTS K.Escherich, 2016
  • 28. 28 A New Era of Thinking Using Cognitive buildings to improve user satisfaction by predicting capacity needs…
  • 29. 29 A New Era of Thinking
  • 30. 30 A New Era of Thinking
  • 31. 31 A New Era of Thinking