CIO OPINION current and historical data can be analyzed to predict future events , including forecasting overall GHG emissions . As a result , costs and resource usage are reduced , which in turn decreases the environmental impact of overproduction and unnecessary resource consumption .
• The next step is predictive asset optimization . Here , dynamic simulation tools , combined with predictive analysis and advanced visualization , create a hybrid Digital Twin . Users gain a true 360-degree view of operational risks and can identify and solve problems earlier , as well as forecast the remaining useful life of assets to maximize uptime , availability and profitability . When incorporated into the design of future assets , these insights trigger
Industrial AI solutions contextualize key performance and sustainability data with Artificial Intelligence and human knowledge . a cycle of continuous improvement . In real terms , predictive asset optimization accurately forecasts performance degradation and greenhouse gas emissions in depth at a granular level .
• Generative AI is perhaps the most well-known way people encounter AI , both in their daily lives and in industrial applications . The technology has existed for over half a century , but it has now come into its own as massive large language models ( LLMs ) are available to the public , enabling operators to quickly make sense of large sets of knowledge or serve as creative partners to support innovation . Used in conjunction with real-time data leveraging specialized software , it can also provide deeper insight into data , including assistance in the complex analysis of sustainability issues .
• Gray-box modeling , one of the most advanced industrial AI technologies , has just hit the market . This combination of first principles simulation and AI ( white box and black box models respectively ) offers the best of both worlds : modeling assets and processes almost in real time to improve system design and get the most out of operational performance . One of the ways it works is by allowing AI models to integrate with traditional physics-based
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