Analytics and AI/ML to improve operations, optimize asset performance and meet sustainability goals
In the uncertain and changing market environment the need to adapt swiftly to changes in demand and supply landscapes and get more productive, agile in cost structures and meet higher sustainability targets are key challenges facing the industry today.
The key challenges and needs include:
· Lack of enterprise visibility for efficient decision making. Decision makers are unable to harness the complete power of data as OT/IT/ET/GT are siloed and lack convergence
· Lack of internal resources, expertise & capabilities to systematically analyze big data
· Optimized operations efficiency, throughput & quality with industry specific data models & end-customer value
· Maximized asset utilization, failure prediction, lifecycle management for operations with equipment specific data models
Driven by analytics, AI and ML technologies, the ABB Ability™ Genix combines the power of data management, domain knowledge, technology capabilities and implementation expertise. It provides data-driven services to help connect, collect, contextualize and analyze data from operational, IT, engineering and geospatial systems to optimize enterprise operations. The pre-built industry standards based cognitive data model provides actionable insights for achieving operational performance, asset integrity, energy efficiency, sustainability and safety, leading to improved productivity, quality, optimum utilization of plants and assets, process improvements and cost savings.