With about a week to go before our iOi Summit in San Francisco, we wanted to let everyone know about another one of our data providers, Enodo. Enodo uses artificial intelligence and machine learning to analyze multifamily property information from across the country and present key investment takeaways in an easy-to-understand dashboard, cutting out the confusing tables and forms usually associated with underwriting these properties.
Enodo takes data from leading property data sources and brings it together in a digestible way to allow for property managers, investors, and other CRE professionals to make key decisions about their multifamily properties. Enodo’s software looks at about 2 million properties weekly, analyzing all that data together and using it to help users understand comparable property rents, amenities, and more.
For the iOi Hackathon, Enodo is providing our contestants with multiple tools that look at dozens of different metrics surrounding multifamily properties. These tools include Enodo’s:
These predictive analytic tools can be used with other API providers in our hackathon to create comprehensive real estate technology solutions, and we are looking forward to seeing how our participants use Enodo in their projects!
We are almost a month away from our iOi Summit in San Francisco and the in-person part of the Hackathon. The sponsor I wanted to highlight today is called Lyrebird and they offer a truly innovative service. Lyrebird’s AI is built for synthesizing real people’s voices and producing some uncanny replication of voice.
I’ve demonstrated this to people in the lab and they are very surprised about how much it can actually sound like my voice. I tried out their system by reading in 70+ sentences supplied by Lyrebird, so they can map my voice to the text and understand how I pronounce vowels, consonants and my cadence.
I’ve included three recordings of my voice below:
Now, Lyrebird’s system maps my voice and produces a voice that can then be used for my purposes. For each of the recordings below, I typed in text and the software read it in my digital voice. You will hear some buzzing in this and that is because when I recorded this, I was in a room with fans running. But, I have to say, this is pretty cool to hear my voice in its synthesized form:
Where I see this working in real estate is for the final recording talking about property amenities. Imagine data from your listings is fed into your synthesized voice and it could read them out for a client.That could be used to communicate with clients when you are not available. Pretty cool.
I want to highlight a pretty special use case of this technology outside of real estate. Lyrebird has partnered with the ALS association to create Project Revoice. Remember the Ice Bucket Challenge? Well it turns out that the founder of the challenge, Pat Quinn, has lost his voice because of ALS. Lyrebird has helped create a synthesized voice for his computer that is more his own. Check it out below:
Thank you to Lyrebird for sponsoring our Hackathon and providing their Framework API!!
restb.ai’s software identifies features in a home and generates natural languages for use in all sorts of applications.
We’ve been putting a lot of time into the Hackathon (click here to register) for the iOi Summit, finding good data sources, benefits to the participants, and frameworks they can use. The first sponsor for the Hackathon I wanted to highlight is called restb.ai, which is an example of a company using artificial intelligence and machine learning to create natural language that describes what’s in a picture. Their technology will analyze images you provide and create data sets in the following areas:
Room Type Classifcation
Identifies over 30 different room scenes like ‘living room’, ‘kitchen’, ‘bathroom’, etc.
Home Feature Tagging
Identifies more than 30 features in the home based on room type. Things like ‘vaulted ceilings’, ‘hardwood floors’, and ‘natural light’.
Exterior Style Classification
Has learned 16 different architectural styles for classification purposes.
Logo & Watermark Detection
Can identify if an image already has a watermark or logo placement on it.
What’s cool about this type of software is that it creates text data for you on the fly and allows you to do things like populate the machine readable fields for images. It could be used to create listing details, or to create keywords for searches on listings and provide better results.
restb.ai will provide access to their API for all hackathon participants to use. We want to thank them for participating! Have you registered for the Hackathon? To find out more and register, click here.
CRT Labs is hosting our first ever hackathon as part of the iOi Summit in San Francisco in late August. To find out more about this awesome event, including how you can register to be part of the hackathon, head on over to this blog post by Chad!
One real estate company is going all-in incorporating Augmented Reality and Virtual Reality into their business model. Find out about how these technologies are shaping how to do business with clients on the Fast Company website (click ahead to the second video in the playlist).
I’m very excited to announce that CRT is helping put together a Hackathon for NAR’s iOi (Innovation, Opportunity & Investment) Summit! Teams participating in the Hackathon can start on August 1st and must finish at our iOi Summit in San Francisco on August 28th and 29th. There is no cost for the Hackthon portion of the Summit. We will provide space at the venue on August 28th & 29th for participants. The prize will be awarded on August 30th at the venue.
What is the theme of the Hackathon?
The theme is artificial intelligence and machine learning innovation in real estate. You can read more about the Hackathon here, including some potential project ideas and the rules. We are looking to do more than chat bots and we want you to think about the impact of AI/ML in other areas of the selling and buying process. We will be providing APIs for the Hackathon and give you access not only to data, but also innovative tools in the AI/ML space. If you have any tools that are not open source that you’d like to use, we must review them before they are accepted.
Is there a prize for this event?
Short answer: yes. Long answer, we have a couple of options for prizes and we want to choose the best for the event. We have not determined that yet, but it will be announced shortly.
How do I register?
You can go here and register. Please note, you can have a team of up to five. If you are registering as an individual, please indicate if you’d like to have us add you to a team or if you want to work by yourself. You can start on your projects as soon as August 1st, so the sooner you sign up the more time you will have.
We are excited to see your ideas for this first NAR iOi Hackathon. See you there!