SymphonyAI Presents:

Industrial AI Summit

Unlock operational insights with AI and industrial knowledge graphs

November 13th | Houston | 12PM - 5PM

In Partnership with

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SymphonyAI’s industrial solutions revolutionize digital transformation through advanced DataOps and AI. The IRIS Foundry industrial DataOps platform creates a unified data model and industrial knowledge graph, enabling real-time analytics and predictive maintenance. AI-powered applications provide actionable insights using role-based copilots and an Industrial LLM. This comprehensive approach optimizes operations across production, manufacturing, supply chain, and asset management domains, leveraging contextualized data for enhanced decision-making and operational efficiency.

Connect, share ideas, and explore how industrial AI can revolutionize the future of industrial operations. Network with peers, engage with technology experts, and experience Industrial Knowledge Graphs, Data Operations, and Generative AI in action.

Discussions & Sessions will include:

  • Industrial AI trends and best practices
  • Hear end-users share their outcomes and impact
  • Live Demo: Addressing the data contextualization challenge
  • Live Demo: Knowledge and performance graphs
  • Live Demo: Gen AI for predictive insights and analytics

Who Should Attend

The event is meant for business decision-makers, operations leaders, data analytics leaders, and technology leaders from industrial organizations responsible for driving operational excellence, enhancing AI-driven decision-making, and optimizing equipment performance. 

 Why Attend

  • Network with like-minded peers driving respective digital transformation journeys
  • Hear how AI is delivering tangible value across the operations landscape
  • Witness demos of AI-powered Industrial DataOps, Knowledge Graph & GenAI solving vital digital transformation challenges

 RSVP Details
Date: November 13th, 2024
Time: 12:00pm- 5:00pm

Venue:
Microsoft Innovation Hub
750 Town and Country Blvd.

Suite 1000
Houston, TX 77024