Real-time visibility of downstream assets is key to maximizing value, yet many organizations struggle with fragmented data that leads to waste and suboptimal decision making. Integrating and creating a unified data image from sensor networks, operational sources, enterprise systems and external providers will power machine learning models that generate predictive insights. This has significant potential in reducing downtime, increasing operational efficiency and yield, enhancing safety and improving margins.
Please join Baker Hughes, C3 AI and KBC, a Yokogawa company, for a webinar on one of BHC3’s Enterprise AI capabilities: Plant & Facility Optimization. This capability leverages BHC3™ Production Schedule Optimization and BHC3™ Process Optimization applications to improve availability, efficiency, quality, and throughput of downstream operations.
During this livestream event, you will learn how BHC3:
- Uses AI to generate accurate demand forecasts and optimal schedules for complex downstream operations, minimizing production costs and maximizing On-Time-In-Full performance
- Identifies product quality and manufacturing yield issues before they occur, enabling rapid triage and mitigation
- Monitors industrial assets at high risk of failure, forms early interventions, prevents disruptive failures, and ensures continued operations
You will hear from a diverse panel and see examples of how energy companies are optimizing plants and facilities to achieve higher efficiency and productivity while mitigating risks of downstream operations.
Chief Technology Officer
KBC, a Yokogawa company
Vice President, BakerHughesC3.ai
Chief Technology Officer, Oil & Gas
General Manager, Oil & Gas
Register to Watch