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
Please tell us what you think Mr or Mrs Building! Dr Claire Penny - - PowerPoint PPT Presentation
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 1 2 Organizations use a lot of space Commercial
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
Organizations use a lot of space
Commercial real estate in the US accounts for
square 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.
Source: The Square Foot, via MarketWatch.com
This space is expensive Providing a workspace for one employee can cost your organization between
dollars per year.
http://www.workforce.com/articles/some-companies-replace-cubicles-with-flex-spaces
This space is often under-utilized
The average organization uses only
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
GETTING HERE
MobileFirst | IoT integration (outdoor/camera) | Tririga integration | Maps 3D | Cognitive advisory servicesENTERING ARRIVING
Biometrics | IoT integration | Sensoring | MobileFirst | Tririga integration | Video analytics | Video content managementBEING HERE
WORKING HERE
DRINKING AND EATING
MEETING WITH OTHERS
LEAVING
IoT Integration | Partner integration | IoT integration | MobileFirstCOGNITIVE BUILDING TOUCHPOINTS
K.Escherich, 2016Building Management Evolution
Automated Buildings (1980 – 2000) Smart Buildings (2000 – 2015) Cognitive Buildings (> 2015)
The Dark Side of Big Data
not analysis tools setup
structured data Tools can’t make sense
45%
sensor data that is never utilised
28% 17% USED DATA DARK DATA
Example – Tesco Ireland
Strong investment in montioring infrastructure of their stores to make them more energy efficient
160
Stores
110.956
Data Objects
678 TB
Data per annum
£20M savings pa
reduced cooling
Cognitive Computing
Natural Human Interaction Reason with Purpose Self-learning System
Cognitive Computing
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
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: £20M Energy savings
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 Apache Spark dashDB with R Vision Visual Recognition Speech Text to Speech Speech to Text Language Natural Language Classifier Dialog Integration Watson IoTP Presence InsightINTEGRATE INTERACT REASON LEARN
Reason Predictive Analytics IoT RT Insights Room Booking Insights for Twitter Insights for Weather Tririga Maximo SecurityProximity with BLE
Alchemy APISemantic Insights
Bruce can automatically configure the analytic system with a few clicks from available documentation. “Only 9291 devices left”
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 TRIRIGA People Count with Modcam and TRIRIGA cost reporting „Everything is booked, but, there is definitely an empty room that you can use.“
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.“
Which building has the worst air-conditioning? Which building has the coolest elevator? Which building has the best reviews? Which building has the best restrooms? Which building has the most tweets? Which building has the most rainfall?
Unstructured data
2015‘s Most Tweeted Iconic Buildings
2015‘s Most Uniquely Tweeted Iconic Buildings
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.
7. Empire State Building 8. Petronas Towers 9. Eiffel Tower 10. Sony Center
The Space Needle, Seattle
What do visitors love about the Space Needle? View Elevator ride Restaurant Gift Shop Facilities & Maintenance
Who has the coolest elevator?
▪ Burj Khalifa There are 57 elevators in BurjKhalifa! It's not often you're in a lift with this many buttons. ▪ Eiffel Tower Wonderful to see most elevators hardware are still the original equipment and in good working condition! ▪ Empire State Building It takes forever to get up there. You don't take one elevator straight through. ▪ One World Trade Center Now that's a fancy elevator ride. ▪ Space Needle I love how you can decide what launch time you want to go up
The Louvre, Paris
The worst air-conditioning
There isn't much for air conditioning so if going during a warm season dress in attire that will keep you cool! There's a lot of stairs and not very good airflow so you're sure to sweat! The overall experience, however, could be improved upon starting with air conditioning.
Best Restroom Facilities
Sydney Opera House It's unique and beautiful in pictures, but even better in person. Even the restroom sinks are fun to look at! Also, the toilets inside are great - always an important feature of a cultural and historical landmark! I have to say the restroom was one of the nicest one I been to in Australia. There is plenty of sitting and standing space outside the playhouse and the toilets were clean and plentiful ...
A large API stack is available to build Cognitive Buildings
Language Vision Analytics Integration
dashDB with RSecurity Storage Mobile
118 Development Services and API on Bluemix
Phase 1: Data Center Phase 2: Campus Phase 3: More Sites
STORE INTEGRATE INTERACT REASON INSTRUMENT LEARN &
26
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!
So, what can your building tell you?
„I want my office to be fun, and an environment that allows me do my job efficiently“
Questions
Claire Penny Watson IoT PennyCla@ie.ibm.com Joern Ploennigs IBM Research, Dublin Joern.Ploennigs@ie.ibm.com