Munich Genius of Things: Connected workplaces and buildings

By | 5 minute read | February 16, 2017

IBM Munich HQ

Data analytics applied to connected workplaces and buildings can help occupants discover new insights into how to reduce energy wastage, create a more efficient space and promote easier collaboration between the people inside.

Why buildings matter

We are not using buildings as efficiently as we might, which is important considering we spend 90% of our time indoors, and operations account for 70% of a building’s total cost over its life. The statistics are staggering: only 66% of commercial space is actually being used, and while buildings account for 42% of all electricity use, up to 50% of that electricity is wasted.

Buildings are at the center of transformation of numerous industries

Buildings contain great potential for change. They could work better; more efficiently. And they are critical assets in nearly every industry.

The key to successful transformation is data, collected by devices on the Internet of Things platform, and the insights that can be generated through analytics. The digital twin, for example, which enables multiple digital models of a physical entity to be created, is a critical element to connect and maintain data throughout a building’s lifecycle, helping to deliver operations outcomes.

IBM is the only company that can help you develop, maintain and enhance your building’s digital twin throughout its lifecycle. Through connected technology, we can deliver better outcomes for your business:

  • Improved user experience
  • Increased productivity
  • Satisfaction
  • Space utilisation
  • Operational efficiency

IBM’s Watson Internet of Things platform is developing an open buildings ecosystem to accelerate transformation and digitization, based around four key themes: Build, Transform, Deliver and Solve.

Build, Transform, Solve

Build, Transform, Solve

Our clients are leaders in IoT transformation of buildings

ISS, KONE, Philips Lighting, and Siemens and are all working together with IBM to create a connected workspace and great service expectations.

Use case: ISS

Peter Ankerstjerne, Chief Marketing Officer of ISS, explains that they are working on a shift of focus from input to outcome; using big data as a means to understand patterns and drive down operation costs.

Input vs outcome

Of course a building is not only about assets; it’s about the people inside. A more positive user experience for those people leads to easier collaboration, higher employee productivity, a better learning environment and a more efficient working environment.

ISS perspective on application of big data and IoT

ISS has been applying big data and IoT to address three key areas:

  1.      Building usage
  2.      Service delivery
  3.      User engagement

Building usage includes such considerations as space management (occupancy, rooms, and tables for instance) and sustainability (understanding energy usage based on consumption and weather).

Service delivery can be impacted by understanding usage patterns – such as the number of visitors using the toilets, or the number of people in the building – and by predictive maintenance of technical equipment.

User engagement can be understood through measuring how often user touchpoints (the ISS Concierge app, for instance) are used, and through mapping and analysing the workplace experience and efficiency.

Using IoT and Big Data to improve user experience by predicting capacity needs

Improving the user experience is three-fold:

  1.      Identify and meet the challenge
  2.      Predictive resourcing
  3.      User communication

Use case: Philips Lighting

Bill Bien, CMO, Head of Strategy and Marketing at Philips Lighting joined Sanjay on stage to talk about how connected LED lighting can transform buildings into smart buildings that are integrated to the Internet of Things.

As lighting is everywhere, it is one of the easiest ways to bring the Internet of Things to smart buildings, enabling a pathway for information that helps enable new services and create an office of the future. Connected lighting can deliver data-driven insights that increase productivity, enhance building occupants’ well-being and optimize service delivery, operations and sustainability.  With Philips’ connected lighting for offices (based on Power-over-Ethernet), office workers are able to personalize LED lighting and other building services like airconditioning via their smartphones. Building owners benefit from data that can for example help optimize space utilization and thereby reduce operational costs. Realizing the vision of smart buildings requires a holistic approach of integrating new technologies that set the stage for new personalized customer experiences, groundbreaking new business models and workforce innovation.

Philips Lighting has been revolutionizing lighting for over 125 years. Serving professional and consumer markets, Philips Lighting leads the industry in leveraging the Internet of Things to transform buildings, homes and urban spaces. Using deep understanding of how lighting positively affects people, enables Philips Lighting to deliver innovations that unlock new business value for customers, offering rich lighting experiences makes people feel safe, comfortable, focused, energized and entertained. And because lighting is all around us, it offers limitless possibilities to improve the way we work and live.

Use case: KONE

Tomio Pihkala, CTO, KONE joined Sanjay onstage to talk about how KONE is transforming how they deliver building services and new solutions. These new services will range from solutions which improve People Flow in buildings and new smart building applications; to others that advance the speed, reliability and safety for elevator maintenance, remote monitoring and servicing, and remote diagnostics and predictability. Ultimately, these capabilities translate into improved services for customers and great experiences for the people using KONE equipment.

KONE is in the business of People Flow. KONE started their journey with IBM over a year ago. For KONE, the customer was the beginning. When KONE began to see disruption in their space, they saw an opportunity to use technology from IBM Watson IoT to take advantage of this disruption. As KONE started to connect their escalators and elevators to IoT, the data started to grow exponentially. From all of this data, KONE has been able to create new services using live machine conversations – to tailor specific maintenance for elevators based on real data.

Pay us a visit and keep up to date with the GoT summit

We’ll be on the scene as the Genius of Things summit progresses, sharing presentations, keynotes and ideas. Keep your eyes on the blog for all the latest news from the conference, or pay us a visit. You can learn more about our cognitive solutions by visiting the IoT website. Or see the 10 ways cognition is helping shape smart buildings.