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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.

4 key Workplace trends in 2019

January 2019
4 minute read

Here are 4 key Workplace trends that are shaping real estate office spaces from niche or early adopters to mainstream norms, where the wider drive are changes in the way work itself is done.

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4 key types of workspace occupancy sensors

November 2018
3 minute read
Occupancy sensors is an efficient way to analyse how building and office spaces are utilised. Using data give teams  greater visibility on what can be done to optimise working practices, inform future designs and ultimately boost employee productivity.
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Why workplace designers use occupancy sensors

September 2018
2 minute read
Workspace designers and facility teams are turning to occupancy sensors to gather utilisation data over manual surveys to better understand how office spaces are being used. 
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How data is shaping corporate real estate strategies

July 2018
3 minute read
Technology and the increasing need for data is changing the real estate industry, both from an investment and management point of view. Here's how data is shaping the decision making process.
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5 easy changes to increase desk occupancy

January 2018
4 minute read
The average office utilisation rate rarely goes over 45% and the pressure is on for Corporate real estate and Facilities teams to switch up their workplace strategies and optimise office space for today's workforce. 
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