Upload Machine Learning Models Built with Altair® Knowledge Studio® to Altair® SmartWorks™ Analytics

Data scientists and business analysts use Altair to generate actionable insight from their data. Knowledge Studio is a market-leading easy to use machine learning and predictive analytics solution that rapidly visualizes data as it quickly generates explainable results - without requiring a single line of code. A recognized analytics leader, Knowledge Studio brings transparency and automation to machine learning with features such as AutoML and Explainable AI without restricting how models are configured and tuned, giving you control over model building. Watch this short demonstration video to learn more. Click here to learn more about Knowledge Studio.

Learn about the different ways to deploy machine learning models using Altair® SmartWorks™ Analytics.

Users can begin making predictions after their machine learning models are registered and deployed in the SmartWorks Analytics MLOps application. This video explains how to send requests for predictions to a model using a Python script. Empower everyone to make augmented, data-driven decisions. See how with SmartWorks Analytics.

Knowledge Studio 2022.0 introduces several important improvements that make the software easier than ever to use and deploy. Docker is no longer required to support any Knowledge Studio functionality, which makes deployments easier, eliminates certain compliance issues, and saves money. The software now offers a new decision tree tab and we have made enhancements to the SHAP tab and the decision tree tab provides a visual and easy-to-understand way to explain black box models. A single standardized scoring node is now applicable to all native models, ARIMA Forecasting, Keras Deep Learning, Novelty & Outlier Detector, GLM, and XGB models; this improves usability, simplifies the process of building workflows, and removes clutter from the Action function palette. Users can also now specify custom Python and R execution environments in the Python and R Code nodes, which allows them to use any version of Python or R with Knowledge Studio. Click here to learn more about Knowledge Studio.

Knowledge Studio, Altair’s machine learning and AI solution, quickly gets to the granular, low-latency data that contain the insights. Delivering transparency and automation with features such as AutoML and Explainable AI, we streamline model building so more time can be spent analyzing and results can be trusted. Our flexible no-code approach doesn’t restrict how models are configured and tuned, giving you control over model building. With our support for popular, open-source languages and engines, you can integrate new models built using Altair into your existing analytics infrastructure. Click here to learn more about Knowledge Studio.

IoT-enabled infrastructure in factories produce mountains of data that managers can use to optimize plant operations. IoT technology and the sensors that generate most of this data are key building blocks for executing on the industry 4.0 vision of a smart factory. The proper analysis and visualization of this data, coupled with machine learning deployed in the cloud or at the edge, can help companies achieve higher degrees of productivity, flexibility, and innovation and compete more effectively. The need to stitch together the tools required to support the entire workflow — from data prep to machine learning and MLOps (machine learning model operationalization management) — requires broad specialized knowledge and expertise, as well as significant upfront investment. Coupled with the need for data to pass between systems and tools, these factors introduce substantial amounts of risk into the implementation process. We built Altair® SmartWorks™ Analytics specifically to address these challenges and enable data-driven decision making and AI-augmented automation. In this video, we demonstrate how to build an analytics pipeline, including deployment of MLOps models, in a smart factory environment.

Data scientists and business analysts use Altair to generate actionable insight from their data. Knowledge Studio is a market-leading easy to use machine learning and predictive analytics solution that rapidly visualizes data as it quickly generates explainable results - without requiring a single line of code. A recognized analytics leader, Knowledge Studio brings transparency and automation to machine learning with features such as AutoML and Explainable AI without restricting how models are configured and tuned, giving you control over model building.

Altair® SmartWorks™ Analytics is an end-to-end platform that enables you to combine enterprise expertise with data and artificial intelligence (AI) to build analytics applications and scalable automation – with or without code.

Learn how to manage and securely operationalize machine learning models at scale.

Explore how the AutoML nodes allow you to train classifiers by utilizing built-in feature transformations and optional automated hyperparameter tuning with our out-of-the box, and fully customizable gridsearch. AutoML models created using the Python-based engines of SmartWorks Analytics can be registered, versioned, and served through integrations with MLflow and Seldon Core. Empower everyone to make augmented, data-driven decisions. See how with SmartWorks Analytics.

Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.