Playment<\/a> in India based on that bet. Playment allows companies to send over sets of training data that need some kind of light analysis, and then divvies it up across a large on-demand workforce that can resolve those tasks on their mobile devices. That, in turn, feeds back additional data to the companies to help refine their algorithms \u2014 whether that\u2019s visual search, quality checks of recommendation engines.<\/p>\nPlayment users can do a lot of the testing and actions on their mobile devices. So it could be as simple as making small quality checks while they\u2019re commuting or drawing bounding boxes for visual recognition (like below), giving the option of doing these kinds of tasks anywhere. So users can do as many or as few tasks as they\u2019re looking for \u2014 whether it\u2019s just for some additional early cash or pushing it toward more of a primary income amount, Mall said.<\/p>\n
Companies pass the data off to Playment through a set of APIs, and then Playment creates a workflow for its workforce. Then those workflows are passed off to their workforce, and users can pick up whatever tasks they want that are available. Mall said that with that approach the company can return the requests in as little as a few minutes, though it would depend on the complexity of the task. One possibility, with this approach, would\u00a0also be\u00a0splitting complicated tasks into multiple workflows and divvying them out to multiple people.<\/p>\n
\u201cYou will need to enhance your algorithm\u00a0by training it on multiple fronts,\u201d Mall said. \u201cToday you need to count pedestrians, tomorrow you probably need to read signs. The day after that,\u00a0you need more human judgment calls. Obviously it\u2019s not just one particular tasks\u00a0throughout. But an algorithm\u00a0is only as good as the data that trains them.\u201d<\/p>\nThe obvious use case here is in validating product reviews for companies like Flipkart and other e-commerce companies. By offloading the process of checking product reviews to a wide array of people instead of a small quality control team, e-commerce sites could post more reviews, more quickly, and create a more accurately determine the best products available for recommendations.<\/p>\n
The goal, then, is to take the load off of companies like Flipkart and others that have to do these kinds of quality checks in order to keep things moving on their sites. That can relieve financial pressure, and offer some alternative income for other individuals,\u00a0Mall said \u2014 though, of course, that means fewer jobs that are available at Flipkart. But, like Uber, the flexibility of something like Playment is what is going to make it attractive, he said.<\/p>\n
The obvious competitor is Mechanical Turk from Amazon, which can also accomplish these kinds of small tasks. Mall said the biggest question he\u2019d regularly get from investors and potential customers is whether or not Playment can ensure that the quality of results is high \u2014 especially for the volume of requests. That\u2019s the goal Playment is gunning for, and Mall hopes that will help it be more successful than Mechanical Turk.<\/p>\n
There is, of course, probably a more difficult side to all of this. These kinds of tasks\u00a0can be mundane, and it\u2019s hard to imagine that this is something that would psychologically fulfill someone<\/a>. Mall said the tool offers people an opportunity to make more than $100 USD extra each month doing these tasks. And again, the play here is the flexibility that can keep people working on the service.<\/p>\n\u201cWe give them the flexibility to work at home, or wherever they wish, because\u00a0it\u2019s on mobile,\u201d Mall said. \u201cYou could pay for coffee you\u2019re standing in line for by doing simple tasks. It\u2019s not like Mechanical Turk\u00a0where you\u2019re forced to sit in a place and do the same things. It\u2019s flexible and open and you can do whatever you want, and you can earn money as much as you can earn in a normal daily job.\u201d<\/p>\n
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Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/J5pSImd32mY\/<\/p>","protected":false},"excerpt":{"rendered":"
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