OpenSensors Blog

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Yodit Stanton

Yodit Stanton

Yodit has designed and built large scale data systems for various sectors and has played a key role in leading development teams to run critical trading and machine learning infrastructure for FTSE500 companies such as, Deutsche Bank, Man Investments, Nomura and Lehman Brothers. With over two decades of experience as a Data and Machine Learning Engineer, Yodit specialises in predictive modeling for real time systems, social network analysis and middleware development.

How the workplace needs to adapt after COVID19

Work from home is here to stay and social distancing will form part of everyday life both in the workplace and in ones home life. Activity based working will become the way forward to manage these changes in the workplace. 
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Preparations to reopen offices during COVID19

Where we work and how we work will be very different after COVID19. Businesses will be forced to rethink how they will need to operate over the next 6-18 months. Here's what you need to start planning for. 
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How data and technology can optimise workplace utilisation

Today's workforce is rapidly changing. Employees expect to have a choice of where to work and organisations need to be adaptable to attract and retain talent. Here's how Occupancy technology can help increase utilisation rates. 
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How to measure workplace occupancy

Here's 4 types of space utilisation sensors to gather workspace data.
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Building a roadmap towards Activity Based Working

Activity based working provides spaces for informal or formal meetings, collaborative and open areas for project work as well as quieter spaces for tasks that require more focus. So why does ABW matter?

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