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Please tell us what you think…Mr or Mrs Building!
Dr Claire Penny
Global Industry Leader, Watson IOT 4 Buildings
@Claire_PennyTay
Dr Joern Ploennigs
Research Leader, Cognitive Buildings
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Organizations use a lot of space
Commercial real estate in the US accounts for
12 billionsquare feet of covered area
Source: Florance, A., Miller, N., Peng, R. and Spivey, J. (2010), “Slicing, dicing and scoping the size of the US commercial real estate market”, Journal of Real Estate Portfolio Management, Vol. 16 No. 2, pp. 101-118.
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Source: The Square Foot, via MarketWatch.com
This space is expensive
Providing a workspace for one employee can cost your organization between
$4,000 - $14,000dollars per year.
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http://www.workforce.com/articles/some-companies-replace-cubicles-with-flex-spaces
This space is often under-utilized
The average organization uses only
50% of their space on any given day.
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Savings achieved with GE via space remodeling ($6 Billion out of $1.2 Billion yearly spend)Eliminating an entire floor in a six story Manhattan building, saved $9 Million/year
An opportunity exists
Optimizing space utilization can save
millionsof dollars and result in better
Employee engagement
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• 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 content management
• 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
Content management | 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 TOUCHPOINTSK.Escherich, 2016
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Building Management Evolution
Automated Buildings(1980 – 2000)
Smart Buildings(2000 – 2015)
Cognitive Buildings(> 2015)
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The Dark Side of Big Data
not analysistools setup
only analyzes structured data
Tools can’t make senseof data
90%
45%
sensor data that is never utilised
28%
17%
USED DATA
DARK DATA
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Example – Tesco Ireland
Strong investment in montioring infrastructure of their stores to make them more energy efficient
160Stores
110.956Data Objects
678 TBData per annum
£20M savings pa
20%reduced cooling
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Cognitive Computing
NaturalHuman
Interaction
Reasonwith
Purpose
Self-learningSystem
Cognitive Computing
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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.
Ferrovial: 3% - 7% TLC
savings
IBM:33% - 50%
FM savings
Tesco: £20MEnergy savings
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Scalable IoT Platform
Navigate a campus via Watson speech
Understand energy flow and diagnose anomalies with
cognitive analytics
Manage and findyour assets in 3D
Electricitywith IoT Meter
Occupancywith PIR
Vibration Data with IoT Sensors
Easily monitor and maintain assetsbefore they fail
Understand temperature, comfort and occupancy in buildings and data centers
Desk ComfortSensors
Cognitive analyticsfor deep insightsto unlock new cost savings.
Customizable IoT platform that provides simple integration and high scalability
Plug-and-play instrumentationwith IoT devices
Rapid modellingwith laser scanner
Lear
nin
g
Apache SparkdashDB with R
Visio
n
Visual Recognition
Spee
ch
Text to SpeechSpeech to TextLan
guag
e
Natural LanguageClassifier
Dialog
Inte
grat
ion
Watson IoTP Presence Insight
INTEGRATE
INTERACT
REASON
LEARN
Rea
son
Predictive AnalyticsIoT RT Insights
Room BookingInsights for TwitterInsights for Weather
TririgaMaximo
Security
Proximitywith BLE
Alchemy API
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Semantic Insights
Bruce can automatically configure the analytic system with a few clicks from available documentation.“Only 9291 devices left”
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Fluid Spaces
Ayman can compare space bookings against real-time information of the space utilisation. He can plan ahead and better utilize the available space using predicted models. integrated dashboard with TRIRIGAPeople Count with Modcam and TRIRIGA cost reporting
„Everything is booked, but, there is definitely an empty room that you can use.“
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Cognitive Concierge
Tom can use the Cognitive Building Advisor to guide people around the building in natural language using Watson speech engine and the semantic knowledge graph to search for answers in unstructured data.
„You can ask me anything.“
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Which building has theworst air-conditioning?
Which building has thecoolest elevator?
Which building hasthe best reviews?
Which building hasthe best restrooms?
Which building hasthe most tweets?
Which building hasthe most rainfall?Unstructured
data
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2015‘s Most Tweeted Iconic Buildings
1. Empire State Building
2. Madison Square Gardens
3. The Louvre
4. One World Trade Center
5. Sydney Opera House
6. Burj Al Arab
7. St. Mery Aze
8. Hagia Sophia
9. Eifel Tower
10. Big Ben
*inclusive both tweets and retweets
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2015‘s Most Uniquely Tweeted Iconic Buildings
1. Eiffel Tower
2. Burj Khalifa
3. Big Ben
4. Taj Mahal
5. Sagrada Familia
6. Madison Square Gardens
7. Buckingham Palace
8. Space Needle
9. London Bridge Tower
10. 20 Fenchurch Street
*only unique tweetsNo retweets or bot tweets
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2015‘s Most Positively Tweeted Iconic Buildings
1. Space Needle
2. Burj Al Arab
3. 20 Fenchurch („Cheese grater“)
4. London Bridge Tower (Shard)
5. Madison Square Garden
6. St. Mary Axe („Gherkin“)
7. Empire State Building
8. Petronas Towers
9. Eiffel Tower
10. Sony Center
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The Space Needle, Seattle
What do visitors love about the Space Needle?
ViewElevator rideRestaurantGift ShopFacilities & Maintenance
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Who has the coolest elevator?
▪ Burj KhalifaThere are 57 elevators in BurjKhalifa! It's not often you're in a lift with this many buttons.
▪ Eiffel TowerWonderful to see most elevators hardware are still the original equipment and in good working condition!
▪ Empire State BuildingIt takes forever to get up there. You don't take one elevator straight through.
▪ One World Trade CenterNow that's a fancy elevator ride.
▪ Space NeedleI love how you can decide what launch time you want to go up
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The Louvre, Paris
The worst air-conditioning
There isn't much for air conditioning soif going during a warm season dress inattire that will keep you cool!
There's a lot of stairs and not very goodairflow so you're sure to sweat!
The overall experience, however, couldbe improved upon starting with airconditioning.
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Best Restroom Facilities
Sydney Opera House
It's unique and beautiful in pictures, buteven better in person. Even the restroomsinks are fun to look at!
Also, the toilets inside are great - alwaysan important feature of a cultural andhistorical landmark!
I have to say the restroom was one of thenicest one I been to in Australia.
There is plenty of sitting and standingspace outside the playhouse and thetoilets were clean and plentiful ...
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A large API stack is available to build Cognitive Buildings
Lan
guag
e
Vis
ion
An
alyt
ics
Inte
grat
ion
dashDB with R
SecuritySt
ora
ge
Mo
bile
11
8 D
evel
op
men
t Se
rvic
es a
nd
AP
I on
Blu
emix
Phase 1: Data Center Phase 2: Campus Phase 3: More Sites
STORE
INTEGRATE
INTERACT
REASON
INSTRUMENT
LEARN &
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Your buildings are a wealth of data and information that can be leveraged to enhance your work places and delight your employees, clients and visitors
– but it’s up to you to allow your buildings to have their say!
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So, what can your building tell you?
„I want my office to be fun, and an environment that allows me do my job efficiently“
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Questions
Claire PennyWatson IoT
Joern PloennigsIBM Research, Dublin