Tangent

1. Ingest historical IT resource usage data from various sources.

2. Tangent automatically engineers features and builds a predictive model.

3. Forecast future IT load based on the model.

4. Optimize IT resource allocation based on the forecast to reduce costs.

1. Collect granular electricity consumption data from smart meters and grid sensors.

2. Use Tangent to build a forecasting model that takes into account external factors such as weather.

3. Predict electricity demand at different grid locations.

4. Optimize grid operations and resource allocation to minimize energy waste and improve reliability.

1. Integrate Tangent with cloud billing and usage data.

2. Automatically detect anomalies and waste patterns in cloud resource consumption.

3. Generate predictive insights on future cloud spending and potential waste.

4. Alert engineers and managers on potential cost-saving opportunities and anomalies.

1. Gather gas consumption data from various consumer segments.

2. Build forecasting models using Tangent, incorporating weather and seasonal factors.

3. Predict future gas demand for each segment.

4. Optimize gas procurement and distribution strategies.

1. Import historical price data and market indicators.

2. Allow Tangent to create price forecast models.

3. Buyers take actions based on the model's prediction.

4. Continuously evaluate and adjust models as market conditions change.

1. Collect data on gas demand, electricity load, and energy prices.

2. Create prediction models for energy trading.

3. Use forecasts to manage energy resources.

4. Modify resources based on needs.