Baker Hughes (NYSE:BKR), C3 AI (NYSE:AI) and Microsoft Corp. (NASDAQ:MSFT) have formed an alliance to bring enterprise artificial intelligence (AI) solutions to the energy industry on Microsoft Azure, an industry-leading cloud computing platform. The alliance leverages the significant energy technology expertise of Baker Hughes, C3 AI’s proven AI platform and applications and the Microsoft Azure cloud computing platform. As a result, energy businesses will have a secure and reliable suite of enterprise-scale AI applications optimized to run on Azure. These solutions are tailored to address challenges across the entire value chain, inventory optimization and energy management to predictive maintenance and process and equipment reliability.
Tom Siebel (CEO, C3 AI), Lorenzo Simonelli (CEO, Baker Hughes) and Judson Althoff (EVP, Microsoft) describe how their companies’ alliance will help drive cleaner, safer energy through digital transformation.
BHC3 Oil & Gas applications on Microsoft Azure use AI at scale to provide actionable insights for business-critical challenges. These pre-configured applications include:
Monitor health and predict failure of systems, subsystems, assets and components using advanced machine learning algorithms. This application enhances upstream process performance, improves operational efficiencies and boosts production.
Reduce parts inventory holding costs, improve cash flow and enhance supply chain visibility. This application applies advanced machine learning to analyze variability in demand, parts delivery times, quality issues and supply disruptions to build real-time recommendations and monitoring. Users can set optimization by confidence level and receive real-time notifications and root-cause analyses.
Ensure the operational health and optimal deployment of IoT sensor devices with machine learning. This application uses advanced AI/machine learning algorithms to predict sensor failures and identify sensor and network health issues with a high degree of precision.
Identify high-risk assets and recommend prescriptive actions before failures occur. This application enables operators to prioritize upstream maintenance expenditures and directly operationalize maintenance through seamless integration with existing work-order management and business systems.
Use machine learning to gain visibility into energy expenditures and prioritize actions to reduce operational costs. The application leverages advanced AI and optimization algorithms to model building operations, detect anomalies, predict energy savings opportunities and help facilities managers take action in near real time.
“The domain expertise of Baker Hughes and the technology leadership of C3 AI, specifically the C3 AI Suite, accelerates outcomes for our customers and for the market.”
A comprehensive software solution that uses a system-of-systems approach for AI-enabled insights to address process and equipment performance risks.
The model-driven architecture of the BHC3 AI Suite reduces complexity and allows organizations to create AI applications 18 or more times faster.
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