Session Outline
The future of manufacturing is characterized by AI-enabled processes for greater predictability, agility, and real-time decision-making, with a goal of improving factory productivity and OEE. Large Language Models offer a new way to tackle challenges such as quality assurance, maintenance & repair and unexpected malfunctions that can be costly in terms of downtime, lost productivity and risk. With the ability to analyze large volumes of content at digital speed, Large Language Models are transforming plant operations. To be effective, the models must be contextually aware, nuanced, and speak the language of numerous industrial technologies and protocols. This requires a data-centric approach and a technique called Prompt Engineering. At the same explainability and trust are important criteria for Generative AI in the enterprise ā especially in the European Union. Attend this session to hear how Aleph Alpha and HPE have developed a multi-modal knowledge base querying system that will create smarter factories.
Key Takeaways:
- Learn about a multi-modal knowledge base querying system that will create smarter factories
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