The Fifth Elephant
The Fifth Elephant

AI in Manufacturing meet-ups

Call for Proposals

Next meet-up in June 2026 in Pune

Registrations: opening shortly.

AI in Manufacturing meet-ups - why & how

Topics for submission

  • AI-powered predictive maintenance and quality control
    Share experiences with AI-driven maintenance scheduling, quality prediction, and defect detection in manufacturing processes.

  • Smart manufacturing and industry 4.0
    Present case studies on IoT integration, digital twins, and AI-driven automation in manufacturing facilities.

  • AI in Supply Chain optimization
    Discuss AI applications for demand forecasting, inventory management, and logistics optimization.

  • Computer Vision and AI in manufacturing
    Explore AI-powered visual inspection, quality assurance, and safety monitoring systems.

  • AI-driven business process transformation
    Share insights on how AI is transforming traditional business processes, customer service, and decision-making.

  • Analytics for manufacturing
    Explore real-time data analytics, performance metrics, and business intelligence solutions for manufacturing operations.

  • Sustainable manufacturing with AI
    Discuss AI applications for energy optimization, waste reduction, and green manufacturing practices.

Talk guidelines

Submit proposals for compelling talks and live demonstrations (25–35 minutes including Q&A) that showcase practical applications, real-world use cases, and challenges in integrating AI into SDLC and manufacturing processes.
Talks should focus on actionable insights and practical implementation strategies.

Talk structure guidelines

Time breakdown

  • Introduction (2–3 minutes): Hook the audience, introduce yourself, and outline what you’ll cover.
  • Main Content (20–25 minutes): Core presentation with clear sections and examples.
  • Conclusion (2–3 minutes): Summarize key points and actionable takeaways.
  • Q&A (5–8 minutes): Engage with audience questions and feedback.

Content requirements

  • Real-world focus: Include practical examples, case studies, or live demonstrations.
  • Clear problem–solution: Address specific challenges and how AI solves them.
  • Actionable insights: Provide concrete takeaways that attendees can implement.
  • Technical depth: Include relevant technical details while maintaining accessibility.
  • Industry relevance: Connect to either SDLC or manufacturing contexts.

Presentation tips

  • Story-driven approach: Use real-world examples and case studies.
  • Visual content: Include diagrams, code snippets, or demos where relevant.
  • Interactive elements: Ask questions or use polls to engage the audience.
  • Time management: Practice to ensure you stay within the allocated time.
  • Clear messaging: Focus on 2–3 key takeaways that attendees can implement.

About the curator

Pragati Chopade leads Generative AI initiatives at Johnson Controls, where she builds AI solutions for smart buildings – from Agentic AI assistants to intelligent workplace planning and predictive fault analytics. With 9+ years spanning system software at NVIDIA, healthcare analytics, Edge AI, and building technologies, she combines technical expertise with real-world impact. She holds multiple AI patents and also contributes to national AI curricula.

Queries & contact information

💬 Comment on the discussion forum
📞 Call: +91 7676332020
📧 Email: info@hasgeek.com

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The Fifth Elephant
The Fifth Elephant
Jumpstart better data engineering and AI futures