The evolution of workspaces.
The evolution of workspaces

The evolution of workspaces.

Current legacy workspaces were primarily designed to fit requirements from the late 20th century: foster some collaboration and cut rental costs.

Now workplaces can be radically optimized by addressing challenges such as the redefinition of work and living spaces and reacting to moment-by-moment changes in employee health and needs. It is achieved through modern sensors, mobile services and artificial intelligence (AI).

Prudent investment in digital wellbeing affords new opportunities to save costs and deliver exciting, productive and health-conscious ways of living and working. It is the next big leap both for the users and the providers of business premises, providing immediate gains in user productivity and business revenue.

This decade will see workspace architecture becoming aware and intelligent towards user emotions to construct a highly accurate status of occupants. Systems will become self-regulating by adapting automatically to environment changes and occupants’ moods, and will provide environments where people can work better when sharing spaces.

That’s is the reason why OA is building an artificial intelligence powered workplace technology platform. Through accurately identifying and acting on individual occupant needs it will improve individual productivity and allow for a level of collaboration that is not possible today. It will enable new digital revenues in commercial real estate.

How does it work?

The underlying architecture consists of data-rich sensors and hardware that turns every room into a powerful computer with a software overlay for workspace systems automation. The open platform allows additional services to be added as needs change.

We have worked closely with NVIDIA, the world leader in energy-efficient computing technology used in supercomputers, and market leaders in sensing technologies to design and build the architecture with cutting edge processing. We are part of NVIDIA’s Inception acceleration program for artificial intelligence (AI) and Deep Learning start-ups.

The hardware uses advanced sensors with granular data in order to understand the personal micro-environment and emotions of every occupant. The data is used to determine and act on the personal preferences of occupants for light, temperature, and noise. This is completely based on sensors for a fast response with no user interaction needed, taking action before a user may become aware that their physiological needs are changing.

The software uses neural networks to create an AI system that can create actionable insight from the sensed information. An example is the determination that an individual is feeling hot before they need to remove a jacket or search to change the A/C control.

The OA platform is designed to interoperate with building products and systems from Honeywell, Danfoss, Microsoft, Cisco, Amazon, Zumtobel and many more in future.

Our new technology is of particular interest to the firms that are building workplaces that will deliver this exciting wave of digitized wellbeing.

As someone who is usually hot in offices (even after I take my coat off), I like the use of personalizing my work environment in this way. I'm curious about how you intend for the changes in conditions to be effected. Lighting to affect mood I understand but considering that most commercial buildings (in North America anyway) are built with large open HVAC zones that accommodate multiple occupants, retrofitting sufficient ductwork to enable microclimates is a costly proposal - assuming this approach could be effective. I'd love to hear more on this side of the concept.

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Anders Juul

Director Compressors

7 年

Jakob Damsbo have a look at what Dimitar (mitko) Vasilev is pushing forward

Adler Looks Jorge

Product Manager, Applications and Platform

7 年

I wish you would have addressed a bit more the challenges with collaboration and ways of working. Technology should be at the background supporting collaboration. How are all these sensors supporting that??? I miss more human-centred technology then technology-centred collaboration...

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Giles Flaxton

Responsible Business & Innovation Lead for our Integrated Facilities Management team (EMEA) Motivated to deliver Social Value. Advocate of Mental Fitness Views expressed are my own.

7 年

Hi. how do the sensors understand the emotions of occupants?

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Brian McGlynn

Tech Executive | Driving Innovation & Strategy

7 年

I like it.. Aswell as sensor monitoring how free food and fruit affect workers and worker behaviour, how closeness and frequency of drinking from water cooler affect employee productivity and wellbeing are interesting ... PROXIMITY to coffee machine analysis would be nice too :-)... sincerely best of luck bigman will continue watching your story on linkedin...

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