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Relogix Announces Collaboration with Dr. Graham Wills, Predictive Analytics and Machine Learning Expert, To Better Predict Office Space Needs

Relogix and Dr. Graham Wills, (PhD, Statistics) a pioneer in the field of Predictive Analytics and Machine Learning, are joining forces to advance Artificial Intelligence in the field of Corporate Real Estate.

Relogix will be the first in the industry to more accurately forecast and predict companies’ real estate needs. Companies will potentially save hundreds of millions of real estate spend, year over year with this collaborative innovation between Relogix and Dr. Wills. “Relogix has a significant data set to work with, from years of collecting billions of terabytes of Corporate Real Estate data around the world,” says Dr. Wills. “I’m excited to use this data and cutting-edge machine learning techniques to take spatial data research to the next level.”

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With the pandemic, it has become ever more difficult for companies to understand workplace demand for real estate, with everyone working from home and anywhere for the foreseeable future. As people return to the office, understanding the relationship between people and their demand for workspace is a significant challenge for workplace technology leaders in Corporate Real Estate, HR, and IT.

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“We’re making a significant R&D investment to further innovation around forecasting and predictive analytics for Corporate Real Estate,” says Andrew Millar, Founder and CEO of Relogix. “We are excited to be working with Graham, a pre-eminent researcher in the AI field, and expect our collaboration to leverage advanced machine learning techniques to surface insights like never before.”

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As an outstanding data science leader for over 20 years, Wills is a disruptive innovator, who has been innovating predictive analytics and forecasting for 30 years. Hailing from IBM, Dr. Wills is a well-known researcher in the fields of spatial data exploration and time series monitoring. At IBM, Wills was the lead architect for predictive analytics and machine learning in IBM’s Data and AI group, and led the development of major advances including intelligent automatic forecasting, natural language data insights, anomaly detection and key driver identification.

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