The Appen platform combines human intelligence from over one million people all over the world with models to create training data for ML projects. Appen users can upload data to the Appen platform, and they provide the annotations, judgments, and labels needed to help create ground truth for models.
It is well suited for the users and potential employee who are free of any job perspective and need their free time to be utilized. Users can use their free time to be used for submission of interesting tasks.
Whereas the number of tasks are very less and processing time is also very extensive and recruitment takes time more.
Despite its shortcomings, IBM Watson Analytics does its job well. It's paired for any size organization, big or small – but realistically, if you're going to be analyzing user-data on a broad scale, it probably makes sense to use this program if you're working with a big company. Otherwise Facebook Analytics could probably do the work for you, for a cheaper price. Our social media manager has been using it to track data for a client of ours, and they have been enjoying it so far. It's a good system to determine user traffic.
Documentation is really hard to search through and follow along with. Needs a lot more examples and guidance.
Pricing isn't clear a lot of the time. As a developer trying new stuff, I've been hit with charges and been unsure where the usage came from. Would be good for this to be easier to follow up. Had asked support staff and got no reply.
Appen offers projects mostly related to my native language and also according to my expertise . It offers very interesting projects to be completed , which requires not very expertise and less time to be completed for each task. It is also very convenient to use after selection for the task and also well rewarding against the time consumed for the task completion.
Most commonly, if you're comparing it against other brands – my favorite being Google Analytics – this essentially does the same thing. It really just depends on what platform you're most comfortable working with. Google and IBM both have great software, and ease of use (assuming you know what you're doing when you get started). Although Google doesn't go as in-depth with their data analysis as IBM
See previous notes. We decided, for good reason, not to pursue any real production applications with the Bluemix products because we, our management, and our customer and their management realized it would not work in a real-world, down and dirty production environment where company reputations, financial performance, and customer satisfaction were at stake!
