Redfin CTO says machine learning needs human help
(PCWorld)

Machine learning can automate the handling of huge troves of data to help companies make and save money. However, they´re not without pitfalls, as the real estate tech company Redfin learned.As Redfin began building its own machine-learning capabilities, it ran into a problem: Employees weren`t using them. Bridget Frey, the firm´s CTO, said in an interview that there was a key reason for that: At first, Redfin didn`t leave room in these systems for the real estate agents who were supposed to use them to make modifications.For example, a Listings Matchmaker feature generated a list of personalized recommendations for homebuyers, based on their interests. In its initial iteration, agents weren´t able to add recommendations they thought would be useful.To read this article in full or to leave a comment, please click here