The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service. The solutions include tools providing data preparation enabling users to explore and…
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UserVoice
Score 9.5 out of 10
N/A
UserVoice collects and organizes feedback from multiple sources to provide a clear, actionable view of user feedback for product teams. With a customizable feedback portal, in-app widget, and direct integrations with your email client, CRM or support tool, it’s easy for your customers and internal team members to share feedback at anytime. The UserVoice platform allows you to manage all this feedback in a single view, analyze your data to make product decisions based on customer…
DataRobot can be used for risk assessment, such as predicting the likelihood of loan default. It can handle both classification and regression tasks effectively. It relies on historical data for model training. If you have limited historical data or the data quality is poor, it may not be the best choice as it requires a sufficient amount of high-quality data for accurate model building.
UserVoice can be an affordable and powerful tool to start engaging customers and employees. It can help manage the entire feedback loop process. But your product management and development teams still need to do their jobs. Remember to have a response SLA in place and ownership for prioritizing and responding to the feedback.
DataRobot helps, with algorithms, to analyze and decipher numerous machine-learning techniques in order to provide models to assist in company-wide decision making.
Our DataRobot program puts on an "even playing field" the strength of auto-machine learning and allows us to make decisions in an extremely timely manner. The speed is consistent without being offset by errors or false-negatives.
It encompasses many desired techniques that help companies in general, to reconfigure in to artificial intelligence driven firms, with little to no inconvenience.
User interface is very simple. Learning the product and teaching the team how to use the product took hardly any time at all.
Gives visibility into what others are logging. We are able to append 'votes' to certain ideas, rather than having to create an existing idea from scratch.
Reporting. Tags allow to easily filter through ideas for roadmap planning.
The platform itself is very complicated. It probably can't function well without being complicated, but there is a big training curve to get over before you can effectively use it. Even I'm not sure if I'm effectively using it now.
The suggested model DataRobot deploys often not the best model for our purposes. We've had to do a lot of testing to make sure what model is the best. For regressive models, DataRobot does give you a MASE score but, for some reason, often doesn't suggest the best MASE score model.
The software will give you errors if output files are not entered correctly but will not exactly tell you how to fix them. Perhaps that is complicated, but being able to download a template with your data for an output file in the correct format would be nice.
DataRobot presents a machine-learning platform designed by data scientists from an array of backgrounds, to construct and develop precise predictive modeling in a fraction of the time previously taken. The tech invloved addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. DataRobot utilizes parallel processing to evaluate models in R, Python, Spark MLlib, H2O and other open source databases. It searches for possible permutations and algorithms, features, transformation, processes, steps and tuning to yield the best models for the dataset and predictive goal.
As I am writing this report I am participating with Datarobot Engineers in an complex environment and we have their whole support. We are in Mexico and is not common to have this commitment from companies without expensive contract services. Installing is on premise and the client does not want us to take control and they, the client, is also limited because of internal IT regulations ,,, soo we are just doing magic and everybody is committed.
Have clear goals and owners established before you start using any tool like this. Very important to get accounts and rights setup so that there's no lag time in customer response once things go live. Make sure IT is involved if you plan to use the Single-Sign On (SSO) or any of the access control tools.
I've done machine learning through python before, however having to code and test each model individually was very time consuming and required a lot of expertise. The data Robot approach, is an excellent way of getting to a well placed starting point. You can then pick up the model from there and fine tune further if you need.
I like the ease of integration into web and mobile apps for UserVoice. It's also a comprehensive bug reporting, user feedback, and knowledge base tool.
