News Archives | Page 423 of 1020 | CREtech
Venture capitalists have been historically reluctant to invest in startups based too far from home, thus making it it easier for "good ideas" to get funded in the Bay Area or the Acela corridor than anywhere else. 2020 may have finally changed that dynamic.
Before the coronavirus upended daily life, it took transportation planner Patrick Mandapaka an hour to commute to work near downtown Houston. When the pandemic eases, he expects lighter traffic will shave 15 to 30 minutes off that drive—time he ca...
White-collar work is a pillar of the big city, but due to the coronavirus pandemic, that pillar might be crumbling. We may not be facing a mass exodus, but many urbanites have already packed their bags and headed to greener, less crowded pastures. And if they haven’t moved already, those that remain may not be far behind.
Back by popular demand, CREtech is proud to present our second virtual networking event, CREtech Venture Match, connecting investors and real estate technology companies for a series of 1:1 video meetings. Join us to forge new relationships and drive investment within the industry.
The 2010s were huge for artificial intelligence, thanks to advances in deep learning, a branch of AI that has become feasible because of the growing capacity to collect, store, and process large amounts of data. Today, deep learning is not just a topic of scientific research but also a key component of many everyday applications.
While buzz around the passage of New York City’s Climate Mobilization Act in April 2019 has fizzled, the city’s public officials, property owners, architects, real estate moguls and financiers are revving up to put new policies into practice.
Coronavirus will not kill the office. If anything, it figures to be more dynamic than ever. The ability to work remotely will not drive most people away from cities and offices, but it will enable many to live and work in new ways and places — while causing its fair share of disruption.
VergeSense, a startup that uses machine vision to help businesses better understand how their office spaces are being utilized, today announced that it has raised a $12 million Series B funding round led by Tola Capital.