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  <title>The Future is Coming Faster Than You Think - Charles Myslinsky</title>
  <description>Hey everybody---My guest today is charles mylinsky--- charles was part of the original team that started jet.com and later sold to walmart for 3.3billion.&amp;amp;nbsp; He is now&amp;amp;nbsp; the chief product officer at OJO Labs.&amp;amp;nbsp; &amp;amp;nbsp; I recently talked with Chris heller and found out that he joined ojolabs. Why would top talent like these two guys join a chatbot company?&amp;amp;nbsp;&amp;amp;nbsp; &amp;amp;nbsp;I am always compelled to look deeper when I see something that looks interesting OJO labs started in 2015 and to date has raised 134M in venture capital.&amp;amp;nbsp; How does a chatbot raise 134M dollars and capture top tier talent?&amp;amp;nbsp; The simple answer is ---it doesnt---- not unless you have much bigger plans.&amp;amp;nbsp;&amp;amp;nbsp; &amp;amp;nbsp;with the recent news that zillow recently announced they were buying showingtime for 500M dollars.&amp;amp;nbsp; Zillow has made it very apparent that they are trying to be the bridge between an agent and a consumer. Looking a little deeper i found that OJO has a strategic partnership with wolfnet technologies which has 100Million property profiles similar to the size of zillow property database. They&amp;amp;nbsp; acquired Movoto&amp;amp;nbsp; which is a top 5 home search portal with about 20M unique visitors a month and coincidentally the the second-largest fully licensed online real estate brokerage in the US and realsaavy which is&amp;amp;nbsp; a web development shop with a unique search function. and their whole business seems to rest on two patents around machine learning and distributed networks.&amp;amp;nbsp; Machine learning or AI------ it needs tons of data for it to work..&amp;amp;nbsp;&amp;amp;nbsp; Understanding that OJO’s mission to help people make better decisions through the fusion of machine learning and human intelligence?&amp;amp;nbsp; Which is actually human assisted machine learning where humans are doing a lot of the sorting and matching as the machines&amp;amp;nbsp; in the network learns.&amp;amp;nbsp; Put in enough conversations and you hit an inflection point where a machine is conversant.&amp;amp;nbsp; It can answer many routine and maybe non routine questions in a home sale or purchase. I dont actually know anything about what this company is doing or planning but, all of this seems super interesting.&amp;amp;nbsp; Imagine You had a search portal with 20M uniques,, a zillow sized property profile database and you own a web development company and the only thing missing is millions of conversations for your AI to become conversant?&amp;amp;nbsp;&amp;amp;nbsp; Imaging all those pieces together and what is possible is exciting.&amp;amp;nbsp; I wonder how you might arrange them in order to capture, record and sort millions of conversations. You need an end to end marketplace---ebay, airbnb, etc.&amp;amp;nbsp; The thing with marketplaces is that they are incredibly difficult to build---the good news is that if you can build it they are indestructible as long as both the buyer and seller are capturing value. The foundation of a marketplace is trust and the sad piece of truth about this industry is that there is too much agent turnover for most consumers to distinguish between a good agent or a bad agent. Good information or bad information. If agents would like to get qualified consumer leads it makes sense that the consumer would want a qualified agent lead--- could a personalized and customized technology solve both sides of the equation.&amp;amp;nbsp; OK--enough of my rambling </description>
  <author_name>Super Agents Live- Selling Real Estate</author_name>
  <author_url>http://www.superagentslive.com</author_url>
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