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.
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Why occupancy sensors are replacing manual surveys
The growing demand data driven workplace strategies has led to a need for facilities teams to find efficient cost saving ways to gather utilisation data. Learn More
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Meeting The WELL building standard to improve employee well being
Find out how businesses can improve employee wellbeing at work, from agile working practices to optimised workspaces to boost productivity. Learn More
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How to manage space utilisation project deployments
Get the full scope of work required to deploy and maintain occupancy sensors across multiple office locations and how to minimise risks. Learn More
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How one travel tech giant optimised their space planning management
Facilities team are increasingly challenged to optimise space management. Explore how occupancy sensors can solve the ‘how much space do I need’ conundrum. Learn More
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Deploying occupancy sensors checklist
Here’s 5 key deployment checklist you need to know when implementing workspace occupancy sensors. Learn More
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How data is shaping corporate real estate strategies
Technology and the increasing need for data is changing the real estate industry, both from an investment and management point of view. Real Estate Managers are relying on hard data to inform strategic decision making, future property investments and go beyond traditional approaches. Learn More
