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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.

Leveraging data to aid office reopen

Leveraging office utilisation and environmental data is a way to efficiently aid office reopening and manage employees returning to work. 
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Managing social distancing beyond COVID19

With most employees currently working from home, tackling the return to the workplace could seem far ahead in time. Pre-planning a phased return will help you better manage social distancing post covid19.
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Reorganising workspace post COVID19

The current situation has pushed the World into adapting to working from home or remotely. Though important as it is now, the return to work seems imminent as the curve of the virus flattens.
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Maintaining a safe place to work post COVID19 is possible

The return to work post COVID19, will undoubtedly require adaptation following the sudden changes currently implemented. When considering returning to work certain elements need to be taken into account to ensure efficient facility management.
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Checklist to reopen office buildings during COVID19

Over the next few weeks businesses around the world will be preparing to transition their workforce back to the office once COVID19 lockdown rules are lifted. Here is a checklist to help you start preparing your office reopen plans.
 
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