26
Oct
2022
Data Analytics’ Influence on CRE Site Selection, Design and More
Posted On October 26, 2022  By Kathryn Hamilton, CAE  And has No Comment

Artificial intelligence, virtual reality, the Internet of Things… all trending technologies that are showing up everyplace from online shopping recommendations to continually monitored physical systems.  This big data is collected, analyzed and deployed to help users make smarter choices and is increasingly guiding forces across the […]

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28
Oct
2019
Evolving Trends in Warehouse Technology and Design
Posted On October 28, 2019  By Shawn Moura, Ph.D.  And has No Comment

The growth of e-commerce has placed new demands on North American supply chains and is contributing to an ongoing evolution in industrial real estate. As Mike McCrary, managing director with JLL, noted in his opening comments at “Inside the Box: Industrial Tenant Technology,” a panel discussion […]

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17
Sep
2018
How Tech Startups are Solving the Construction Industry’s Woes
Posted On September 17, 2018  By Todd Burns  And has No Comment

The construction industry’s challenges are no secret — rising construction materials costs, a skilled labor shortage and overall lack of productivity improvements are driving up costs and extending timelines for many projects. Now Construction Technology (ConTech) companies are stepping up to address these challenges using digital […]

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16
Aug
2018
AI and the Return of Great Power Competition
Posted On August 16, 2018  By Reva Goujon  And has No Comment

Artificial intelligence – a catch-all term that encompasses neural networks, machine learning and deep-learning technologies – has the potential to fundamentally transform civilian and military life in the coming decades. Willingly or not, even the deepest skeptics are feeding the AI force nearly every minute of […]

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16
Apr
2018
Which White-Collar Workers Should Worry about Losing Their Jobs to AI?
Posted On April 16, 2018  By Diana Sabau  And has No Comment

Last November, the McKinsey Global Institute released a study to determine prospective job gains and losses under different scenarios through 2030. The emerging picture indicates a future in which up to 800 million people are in danger of losing their job to a machine or a […]

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