Accelerate Data-driven Smart Operations with Altair Manufacturing Analytics

Panopticon Real Time and Panopticon Streams 2022.0 include usability and performance improvements as well as coding enhancements. Click here to learn more about Altair Panopticon.

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.

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.

The Panopticon 2021.2 release incorporates several important new analytics capabilities, including the ability to exclude individual points in time and define multiple non-business hour timespans when analyzing time series data. We have improved several key data visualizations and reporting functions, including easy upload of custom fonts to the server for use in dashboards and PDF reports. Changes to our Streams event processing engine include a new expression builder that makes writing complex expressions for stream processing easier and faster and pluggable Java® transforms that enable use of custom Java code in Streams data pipelines. We have also provided new options to support enterprise deployments, including user session token synchronization across server clusters and the ability to deploy Panopticon in containers on Kubernetes.

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.

Knowledge Studio makes it easy to export models to Altair’s SmartWorks Analytics for model management and model deployment. This video was produced using Knowledge Studio 2021.3 and SmartWorks Analytics 2021.3.

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 helps you get more out of your spreadsheets with less effort. Joining and blending disparate data sources using spreadsheet tools alone leads to too many errors, and troubleshooting problems is time-consuming. Altair Monarch lets your team build trusted, highly accurate data sets quickly. It delivers data peace of mind, and lets you shift efforts from data collection and organization to driving better business insight.

Monarch is an enterprise-class self-service data preparation solution. It connects to multiple data sources including PDFs, spreadsheets, cloud-based data, big data, and other structured and semi-structured sources. Monarch converts disparate data formats into clean rows and columns in seconds and includes more than 80 pre-built data transformation functions to help make the process fast and easy. Spend more time generating value from your data with the Monarch no-code data transformation solution.

Monarch 2020 includes a new feature known as Spreadsheet Design. It can extract data from complex spreadsheets that might include multiple tabs, conditional cell formatting, and more. Monarch is the only data preparation solution that offers an easy method to extract data from spreadsheets and transforms this data into datasets to be used for analytic purposes.

Monarch and Monarch Server Automator easily transforms data from disparate sources.

A short overview of Monarch Server describing how the solution automates the process of cleaning blending and preparing repeatable reports.

With Panopticon 2020.0, we have moved to a fully cloud-compatible server-based platform. All functions of the system are handled by the server and are compatible with Linux, Mac, and Windows desktop machines. Panopticon 2020’s new server-side content repository architecture enables automatic sharing of content between servers in multi-server implementations. The platform’s improved user session management tools give admins complete visibility into system utilization, and it now supports Python integration with Apache Arrow serialization. This short video provides a quick overview of the new capabilities of the Panopticon 2020.0 release.

Panopticon Streams, a stream processing engine built on the popular Apache Kafka platform, enables business users to build sophisticated Kafka data flows with no coding. Streams connects directly to a wide range of streaming and historic information sources, including Kafka, Kx kdb+, Solace, Hadoop and NoSQL sources. Streams supports critical data functions including: - Streaming Data Prep: Combines multiple real-time streams with historic data sources - Calculation Engine: Calculates performance metrics based on business needs - Aggregation Driver: Combines data as needed - Alerting Engine: Highlights anomalies against user-defined thresholds - Integration with the Confluent Enterprise Control Center - Expanded support for IoT environments, including manufacturing, energy/utilities, and transportation/logistics The engine is designed to be used by people who understand their business problems. They can create their own data flows utilizing data from any number of sources and incorporate joins, aggregations, conflations, calculations, unions, merges, and alerts into their stream processing applications. They can then visualize processed data using Panopticon Visual Analytics and/or output it to Kafka, Kx kdb+, InfluxDb, or any SQL database.

Managing critical IoT, telecommunications, and energy infrastructures requires real-time insight into massive amounts of information. Business analysts and engineers can’t wait for end-of-day reports to make decisions that directly affect their operations. They must be able to see and understand what is happening in real time – as it happens. They must also be able to examine all the events leading up a problem in fantastic detail. Altair Panopticon provides people working for the world’s largest corporations with the tools they need to build and deploy their own real-time analytics applications. With Panopticon, engineers and analysts can spot emerging trends, clusters, and outliers in seconds. They can also rewind and look at every single step in a series of events with nanosecond accuracy. Panopticon handles data directly from any data source you’re likely to use, including real-time message buses, time series database, CEP engines, SQL databases, and Big Data repositories.

Altair Panopticon Streams is a sophisticated stream processing engine that leverages the agility, speed, and power of the Kafka Streams framework and Apache Kafka. Streams enables business users to design and deploy new data flows using a standard web browser. Simply point and click to draw the data flow. Subscribe to streaming data inputs, including Kafka topics, plus non-Kafka streaming sources like message buses, web sockets, CEP engines, ticker plants, and market data feeds. Retrieve historical data from tick databases, time series databases, SQL row stores, column stores, NoSQL, New SQL, and restful web services. Create alerts based on performance metrics against defined thresholds and output processed data to Kafka topics, to email, or write to databases like kdb+, InfluxDb, or any SQL database. Streams supports key data operations, including: - Join and Union data streams and tables - Aggregate and conflate streams of data - Perform calculations - Filter and Branch streams Panopticon Streams works beautifully with Panopticon Visual Analytics to create a flexible and highly capable streaming analytics platform.