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Session Description
Smart manufacturing has entered a new phase characterized by the deep integration of AI and other digital advancements across various production stages. The rise of generative AI and Large Language Models (LLMs) will soon lead to new productivity gains for the manufacturing workforce. However, deploying in an industrial environment also introduces new challenges such as the integration with existing infrastructure, managing data quality, and ensuring reliability when lives may rely on critical safety requirements.
Join this session to discover the impact that AI applications integrated with other technologies such as industry IoT, machine learning, and digital twins, are delivering in manufacturing today and how they are shaping the industry tomorrow. Plus, explore the supporting infrastructure such as 5G, data center and edge computing that are unlocking industrial AI’s full potential in the digitalized manufacturing landscape.
The session will discover:
• Use cases for AI industry adoption: automotive, transportation, logistics and manufacturing
• Integrating AI with existing infrastructure
• Data challenges and strategy: collection, security, quality, and usage
• Infrastructure requirements for AI deployment in manufacturing: 5G, edge computing