Using Altair AI Studio, International Paper built and deployed numerous prescriptive models that provide guidance on equipment settings for machine operators and predictive models to optimize consumption of raw materials, improve paper quality, and enhance the effectiveness of wastewater treatment processes. The system ingests and processes sensor data from the company’s manufacturing machinery, including recovery boilers, and produces real-time scores on a range of key performance indicators (KPIs). Machine operators will be able to interact with easy-to-understand dashboards and can make changes to production parameters to see the impact on production outputs. The system displays real-time recommendations on production equipment settings in Panopticon dashboards. As a result of implementing the system, IP is seeing substantial reductions in energy and material waste, increased operational efficiency, and improved consistency and quality of output.