If you need a platform to automate classification, regression and time series forecasting tasks, Obviously AI is worth a look. The no-code AI platform lets you build and deploy machine learning models without a lot of programming expertise. It's good for a variety of tasks, including predicting churn, loan repayment and dynamic pricing. Options like rapid model creation, automated model monitoring and real-time REST APIs mean it's a good choice for plugging AI into existing operations, in particular for business analysts and operations staff.
Another contender is PI.EXCHANGE. It's an end-to-end ML pipeline with tools for data preparation, model development and deployment. It can handle a variety of machine learning problem types, including classification, regression, clustering and time series forecasting. With a collaborative environment and strong integration abilities, PI.EXCHANGE is good for teams and individuals who want to build predictive models without a lot of hassle.
DataRobot AI Platform is another all-purpose AI option. It lets you quickly build and deploy AI projects while offering enterprise-class monitoring and control. The platform spans many industries and use cases, and its flexibility and scalability make it a good choice for teams trying to accelerate their AI work with the least amount of setup and support.
If you prefer a more collaborative approach, Dataiku is a platform that's designed to make AI accessible for everyday tasks. It's got tools for data preparation, machine learning and MLOps, but collaboration and governance are a top priority. Dataiku spans many industries and teams, and it's a good choice for building, deploying and maintaining machine learning models. It also offers a free edition and a 14-day trial so you can try it out.