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

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Organizations use a lot of space Commercial real estate in the US accounts for 12 billion 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. 3

This space is expensive Providing a workspace for one employee can cost your organization between $4,000 - $14,000 dollars per year. Source: The Square Foot, via MarketWatch.com 4

This space is often under-utilized The average organization uses only 50% of their space on any given day. http://www.workforce.com/articles/some-companies-replace-cubicles-with-flex-spaces 5

An opportunity exists Optimizing space utilization can save millions of dollars and result in better Employee engagement 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 6

• Multi-modal transportation services • Alerts before leaving home • "Please be aware that we are serving fish in the restaurant" (and you are allergic) GETTING • Remember your umbrella HERE • Car sharing with colleauges • Locate my colleauges • Pre-book work area (and you might decide to • Who is in my working area today work from home) • Status on infrastructure • Various work-from-home-services WORKING • Find me an empty seat based on personal profile HERE • Optimise usage of office space Weather integration | Transport/city integration | Cognitive HR • Crowd and usage analytics analytics | IoT integration | Tririga integration | MobileFirst Indoor localization | IoT platform | Tririga integration | Cognitive Analytics | Big data analytics LEAVING • Walking around guidance • Get todays menu at the restaurant • Checking out • Pay for your parking in-app (guest) • How long is the queue right now? • Issue mobile parking ticket • Evaluating the day ARRIVING • When is it optimal for me to eat? • Provide alternative parking DRINKING • Find my car, bicycle or the path • Nutritional information compared to to the train station • Find me a parking spot (before arriving) AND personal health profile • Find my car • Heating the car EATING • Order guest tickets • Notifying the spouse MobileFirst | IoT integration (outdoor/camera) | • Order takeaway based on prefernces Tririga integration | Maps 3D | Cognitive advisory IoT Integration | Partner integration | IoT services Content management | IoT integration | Video integration | MobileFirst surveillance | Partner integration | Cognitive ENTERING • Get alerts and notifications on building app (smartphone or iWatch) • Get around - office maps 2D/3D • Physical meeting room displays BEING • Reserve meeting room • Order hot drinks HERE • Arrange spontaneous meeting (lets • Order light meal MEETING meet in 4 minutes in the cafe) • Access control • Check delivery situation on beverage machines • Conference support app • The concierge knows you and can notify • Manage postal services via app and notifications WITH • The building knows you and can advise/notify • Booked but unused meeting rooms • Understand building usage and environment OTHERS • Meeting rom outages / defects • Alternative authentication means, e.g. combination • Align internal climate with outside of smartphone and biometrics, face recognition, • Space management smart watch + pincode/fingerprint etc. Tririga Integration | MobileFirst | Localisation • Information services - app based services | Problem detection | Bookings MobileFirst | 2D/3D maps | IoT Platform | Legacy Integration | • Counting, crowd and pattern analytics Tririga Integration | Video analytics | Big data analytics • Video survelliance • Anormaly video analytics (security) Biometrics | IoT integration | Sensoring | MobileFirst | Tririga integration | Video analytics | Video content management COGNITIVE BUILDING TOUCHPOINTS 7 K.Escherich, 2016

Building Management Evolution Automated Buildings Cognitive Buildings Smart Buildings (1980 – 2000) (> 2015) (2000 – 2015) 8

The Dark Side of Big Data U SED D ATA not analysis 45% tools setup D ARK D ATA sensor data only analyzes 90% 28% structured that is never data utilised Tools can’t 17% make sense of data 9

Example – Tesco Ireland Strong investment in montioring infrastructure of their stores to make them more energy efficient 20% 160 110.956 678 TB Stores Data Objects Data per annum reduced cooling £20M savings pa 10

Cognitive Computing Natural Self-learning Human System Interaction Cognitive Computing Reason with Purpose 11

Various Use Cases and Challenges D IGITAL A SSET L IFECYCLE R EAL T IME A SSET L OCATION C OGNITIVE A SSET H EALTH S ELF -L EARNING E NERGY C OGNITIVE C ONCIERGE D IAGNOSER The manual input of data into Finding assets and their Predictive and preventive Energy consumption has Guiding people to their rooms Tesco: a maintenance system for relevant data is challenging, maintenance are immanent to many influences and it is hard and answering their questions IBM: Ferrovial: thousands of assets is a costly, in particular when you are in reduce operation costs, but, to detect and diagnose is an central element of £20M error prone process. the field. lack the required sensors. abnormal consumption. hospitality. 33% - 50% 3% - 7% TLC Energy FM savings savings savings S EMANTIC I NSIGHTS F LUID S PACES M Y C OGNITIVE C AMPUS M Y A RTEFACT S CALABLE I O T P LATFORM Analyzing thousands of IoT The lack of real-time Increase productivity of teams Maintaining the perfect Cognitive Buildings require a devices cannot provide occupancy information within by providing a comfortable environment for art galleries highly scalable platform for meaningful insights without a a building inhibits effective environment and easy and museums is critical. data integration and analysis. semantic method. energy and space navigation. performance. 12

Scalable IoT Platform Cognitive analytics for deep insights to unlock new cost savings. Navigate a campus via Manage and find Understand energy flow and Easily monitor and Understand temperature, Watson speech your assets in 3D diagnose anomalies with maintain assets comfort and occupancy in cognitive analytics before they fail buildings and data centers Security Language Speech I NTERACT Natural Language Dialog Speech to Text Text to Speech Classifier Reason Customizable IoT platform R EASON that provides simple IoT RT Insights Predictive Analytics Maximo Tririga integration and high Learning scalability Vision L EARN dashDB with R Apache Spark Alchemy API Visual Recognition Integration I NTEGRATE Watson IoTP Presence Insight Insights for Weather Insights for Twitter Room Booking Plug-and-play instrumentation with IoT devices Vibration Data Electricity Occupancy Desk Comfort Rapid modelling Proximity with IoT Sensors with IoT Meter with PIR Sensors with laser scanner with BLE 13

Semantic Insights “Only 9291 devices left” Bruce can automatically configure the analytic system with a few clicks from available documentation. 14

Fluid Spaces „Everything is booked, but, there is definitely an empty room that you can use.“ 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 re porting 15

Cognitive Concierge „You can ask me anything.“ 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. 16

Which building has Which building has the most tweets? the best reviews? Which building has the best restrooms? Which building has Unstructured the most rainfall? data Which building has the Which building has the coolest elevator? worst air-conditioning? 17

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 18

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 tweets No retweets or bot tweets 19

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 20

The Space Needle, Seattle What do visitors love about the Space Needle? View Elevator ride Restaurant Gift Shop Facilities & Maintenance 21