Demo gallery

Identify and cluster anomalies in multivariate time series data, to detect irregular patterns or outliers that could indicate significant events or potential issues.

Enable thorough analysis of patient data, from demographics to adverse events and lab results, across Clinical R&D teams. Enable data-driven decision-making throughout clinical trials, supporting a smoother path to regulatory approvals.

Accurately predict future energy demand and generation by analyzing historical data, environmental factors, and other relevant variables to optimize energy management and planning.

Delve into energy demand and pricing using multi-layer geoanalytics with drilldown capabilities to uncover mission-critical insights and optimize grid performance.

Analyze historical patient data with privacy protection to predict length of stay and assess re-admission risks, enabling the optimization of operational efficiency and patient care outcomes.

Gather and analyze data at-rest and in-motion throughout the entire mining cycle to optimize operations from exploration to extraction, and processing, for enhanced efficiency and productivity.

Explore and analyze historical gas production data from Texas wells, allowing for a detailed examination, as well as trend identification to optimize operations.

Monitor wells for pressure spikes and current drops, enabling to make real-time adjustments to alert settings to further enhance equipment safety and performance.

Monitor Overall Equipment Effectiveness (OEE) to optimize plant efficiency and minimize unscheduled downtime, ensuring smooth operations and increased productivity.

Make use of a parametric failure model with Weibull curve distribution to predict equipment failures, optimize maintenance schedules, and extend asset lifespan.

Visualize a warehouse layout with stock allocations, capacity, and rotation data. Enable to facilitation of efficient receiving and storage of incoming stock, as well as timely dispatch of stock to stores, optimizing inventory management and operational flow.

Analyze inventory levels across distribution centers and retail stores for various SKUs. The demo also includes Economic Order Quantity and Safety Stock modeling to optimize inventory levels, as well as Inventory Simulation for forecasting and managing stock during promotions.

Quickly identify wafer scratches for yield optimization in semiconductor manufacturing. Leverage advanced techniques, and highlight scratches across multiple wafer lots, providing actionable insights to improve production efficiency.

Measure the correlation between streamed test measurements and a chosen target variable for wafers. Identify the sensors and parameters most associated with wafer test failures, provide actionable insights for troubleshooting to improve wafer testing processes.

In this environment, you'll be able to monitor and analyze real-time completion data streamed live from a well pad, ensuring efficient operations and timely decision-making during the completion process.