Making 1 + 1 = 3: Using data to uncover hidden value in real estate
Release Date: 03/12/2019
LQaaS - The new AI-powered acronym that just might solve the lead problem in real estate
Gradually… Then, suddenly!
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With RESO setting the standard, will real estate innovation accelerate?
Gradually… Then, suddenly!
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Can the MLS finally break free from vendor shackles? Remine thinks so.
Gradually… Then, suddenly!
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Tech redefining the closing experience? Just ask Qualia!
Gradually… Then, suddenly!
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The Billion Dollar iSeller that nobody knows (yet)
Gradually… Then, suddenly!
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Platforms: Buzzword or the new essential technology for real estate?
Gradually… Then, suddenly!
OVERVIEW Listen in as I interview York Baur, CEO of Seattle-based real estate technology company MoxiWorks. MoxiWorks was spun out of iconic real estate company Windermere Real Estate and York leads a staff whose mission is to help brokerage companies be more profitable through agent productivity. In addition to specific applications like it’s Engage CRM, MoxiWorks is a player in the emerging real estate data platform race with its MoxiCloud product. YORK’S THOUGHTS: Real estate is a relationship based business and many try to make it more about technology than it should be and...
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Making 1 + 1 = 3: Using data to uncover hidden value in real estate
Gradually… Then, suddenly!
OVERVIEW Listen in as I interview Bryan Copley, Co-Founder and CEO of CityBldr in Seattle, Washington. Most automated valuation models attempt to determine the value of real estate in its present use. As Bryan and his co-founder worked their way through two previous residential real estate technology startups, they learned that there was an opportunity to use technology to discover value in the shadow inventory of properties that might be for sale “at the right price” and that builders, developer and investors were very willing to trade-in the historical manual process of...
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A.I. and Real Estate: Hype, Hope or Here Today?
Gradually… Then, suddenly!
OVERVIEW Listen in as I interview John Berkowitz, Co-Founder and CEO of OJO Labs in Austin, Texas. As we enter the early days of the 4th Industrial Revolution, the convergence of large amounts of data being capture on various devices and distributed computing power has ushered in a new world of artificial intelligence and machine learning. Many new commercial iterations AI have focused on service industries and trying to create applications that can service consumers better than the level of service historically provided by humans. John provides his thoughts on the promise of...
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Asking WHY in the new age of MLS
Gradually… Then, suddenly!
OVERVIEW Listen in as I interview Tim Dain, President and CEO of MARIS MLS in St. Louis. The real estate industry’s use of and need for data is increasing at lightspeed. Historically, MLSs have been the providers of all property related data to industry participants. As a “why” thinker in a world dominated by status quo, Tim provides his thoughts on why MLSs will look much different in the future and how he is molding MARIS into a prototype MLS that will best serve changing industry demographics and deliver the data framework the industry needs. Tim’s Thoughts: ...
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INTRODUCTION: Welcome to Gradually… Then, suddenly!
Gradually… Then, suddenly!
Real estate industry executive Russ Cofano explains how Gradually…Then, suddenly! will explore those people and companies who are determined to change the real estate industry and with it, access to hundreds of billions of dollars. Russ provides a sneak peak on the initial lineup of guests and a way to get email updates at www.avvonue.com. The first episode drops February 20, 2019.
info_outlineOVERVIEW
Listen in as I interview Bryan Copley, Co-Founder and CEO of CityBldr in Seattle, Washington. Most automated valuation models attempt to determine the value of real estate in its present use. As Bryan and his co-founder worked their way through two previous residential real estate technology startups, they learned that there was an opportunity to use technology to discover value in the shadow inventory of properties that might be for sale “at the right price” and that builders, developer and investors were very willing to trade-in the historical manual process of determining the “what could be” valuation for a model that can replace that process in seconds.
BRYAN’S THOUGHTS:
- Bryan’s first real estate startup, Real Estate Buyers Listing Service, attempted to aggregate the demand side of the residential real estate market and discovered that a key missing piece was the presence of the human broker to manage the transaction
- His next startup, Everyhome, attempted to expand the market of homes by exposing more properties to buyers by putting a digital “for sale” on every home in the country and allowing buyers to make bids on homes even when they were not listed.
- Bryan and his team learned that most users of Everyhome were investors, builders, developers and others involved in commercial real estate.
- They also discovered that there was another way to underwrite the value of properties, that being what a property (or multiple properties) might be worth based on highest and best use.
- Citybldr’s technology uses machine learning to automate valuation
- Citybldr does not license their technology. Instead, they partner with traditional brokers, builders and developers who are putting deals together and are paid a portion of the commission income that is generated as part of those deals.
- They facilitate the creation of assemblages by allowing potential sellers to create groups of sellers via their website.
- CityBldr’s mission is to help to create happy, functional sustainable communities. There is the potential for CityBldr to provide a social good by optimizing how cities are developed and re-developed by leveraging underdeveloped properties to meet the increasing need for affordable housing
LINKS
www.citybldr.com