In an era where organizations are grappling with data abundance and the challenges of Industry 4.0, the need for innovative solutions to analyze data, optimize operations, and make critical decisions has never been more pressing. With added concerns around data volume, persistent silos between systems, and security concerns around AI assistance, organizations have several decisions to weigh when evaluating solutions.

The combination of GenAI with advanced industrial analytics radically streamlines access to valuable insights, converges domain expertise, and enhances decision-making in operations.

We'll review how AI can simplify complex data analysis tasks and workflows and showcase real-world use cases where GenAI is already revolutionizing manufacturing analytics efforts. Our discussion will also cover the nuances of GenAI, exploring its limitations, risks, and misconceptions.  

During this webinar, we'll review real-world use cases where GenAI is already revolutionizing manufacturing analytics efforts. We’ll also consider:

  • The importance of empowering domain experts at the center of efforts around advanced analytics and GenAI
  • How AI can simplify complex data analysis tasks and workflows
  • Considerations around privacy for AI assistance when working with sensitive data from critical process systems.
  • Private AI assistance within SaaS platforms that are purpose-built for manufacturing analytics 

 

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Participantes (2)

 
  • Christian Thilmany
    Senior Director AI StrategyMicrosoft
  • Andres Barbaro
    VP Software DevelopmentSeeq

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18:00 - 19:00 hs GMT+1

Organizador

SEEQ y Microsoft
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