FROM the EDITOR
Machine Learning Makes Data More Efficient
A Publication of Stamats Buildings Media
Data is so important to everything we do. Without it, at best we’re making educated guesses as to what out- come or value something will bring. Once big data and analytics are brought into the process, we can make
better decisions based on past information.
Director Christoph Trappe
Editor in Chief Valerie Dennis Craven
Senior Editor Janelle Penny
Associate Editor Justin Feit
Art Director Elisa Geneser
Senior Graphic Designer Evan Bro wnfield
Taking it a step further with machine learning, we can predict future outcomes based on past information. Machine learning is based on artificial intelligence, analyzing the data you already have to
learn, identify patterns and make better decisions.
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Think of what could be possible with that information in your facility. Based on your data, machine
learning could help predict:
n Maintenance needs before something goes down
n Energy use and efficiency
n Occupancy management
n Inefficiencies in workflow or operations
Buildings is a registered trademark owned by
Editorial Advisory Board
Christopher K. Ahoy President/CEO,
Performance Management Consulting
The business value is great; you can save time and money on energy and maintenance issues alone.
Not only that, it gives you greater confidence in your decision-making and numbers to bring to other
stakeholders to strengthen your case regarding building matters.
Steven R. Colvin Senior Vice President of
Property Management, Boston Properties LP
Michael Delev Director of Real Estate
Transactions & Development, Atrium Health
Even if you already have the data and interest in being more efficient, you might have questions
about getting started with machine learning. In our feature “Machine Learning 101,” we look at how you
can gather data and use machine learning to your advantage. Turn to page 22 to get your questions
answered and discover the full potential of your data.
Rod Stevens Principal Consultant,
Eric A. Woodroof Founder,
If you’re already using machine learning in your facility, read “5 Steps to Optimize Your Facility with
Data Analytics” on page 26. We explain how to get the most out of machine learning using the data
you already have.
Let Me Know
Are you making the most of your data? If not, what’s holding you back? What other new technologies would you like to know about to help make your job easier and your facility run more efficiently?
Jesse H. Neal Award
Jesse H. Neal Award
2014, 2013, 2012,
2011, 2010, 2009
Best Publication and
Best How-to Article
Let me know at firstname.lastname@example.org.
Valerie Dennis Craven
Editor in Chief
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