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The PI.EXCHANGE AI & Analytics Engine (the Engine) is a Data Science and Machine Learning (ML) platform that empowers everyone, even novice users, to affordably build high-performance ML applications in minutes or hours, not weeks or months. The easy-to-use connected toolchain provides everything you will need to go from raw data to predictions and insights within a single pipeline. Manual and repetitive machine learning tasks are automated, and the Engine's intelligent features help guide the user end-to-end. Developing and deploying your ML application is accessible via the Engine's no-code Graphical User Interface (GUI) or via the API and SDK. So, whether you are building a small pilot project with no dedicated data science resources, or are deploying large-scale enterprise ML systems, you can equip your existing team with the right tool to build meaningful solutions, fast. “The power of the Engine isn’t just in its ability to create high-quality predictive models, it’s in its ability to get you up and running and evaluating results in minutes, not weeks." - Wine Grounds The Engine gives users the flexibility to customize their ML pipeline from scratch for classification, regression, time-series, or clustering problems or to select an ML solution template to develop their ML application. While both ML development options are guided and require no-coding experience, the latter requires only articulation of business requirements and problem context via a few key steps - everything else is taken care of. Whether you are looking to: Supercharge your data or engineering teams by reducing time on low-value manual tasks via a collaborative automated ML workflow or; Empower analysts and business users with a no-code end-to-end AI tool The Engine helps you overcome the data skills shortage and costly and slow time-to-value of AI projects, so you can leverage the power of ML toward solving real-world problems and building a competitive edge. Notable AI solutions include: Customer Churn Prediction Leveraging your manufacturing data to build predictive maintenance strategies Predict online fraudulent transactions and reduce false positives and; Optimize logistics decision-makingSee more