Deadline for submissions - Monday, 25 September 2025

The Fifth Elephant Pune edition - overview

Theme: AI at the heart of industry & innovation
Date: 14 November 2025
Venue: MCCIA, Pune
Post-conference hands-on workshops: 15 November 2025 (at various locations across Pune)

Track 1: AI in Software Development Life Cycle (SDLC)

Topics for submission

• AI-assisted requirements analysis and user story generation
  Share experiences with AI tools for analyzing user feedback, deriving requirements, or aiding product teams in creating structured user stories.

• Practical applications of AI code generation and refactoring
  Present demos and insights on using AI tools for code completion, suggesting refactoring patterns, identifying code smells, or automating code generation.

• Enhancing test automation with AI
  Discuss how AI can improve test case generation, manage test data, predict defects, or optimize test execution strategies.

• Implementing AIOps for intelligent monitoring
  Showcase AI/ML platforms for anomaly detection, root cause analysis, and automating operational tasks.

• AI in DevSecOps and security
  Explore how AI tools can assist in static/dynamic code analysis, identify security vulnerabilities, and improve security practices.

• AI ethics and bias mitigation in SDLC
  Discuss tools and practices for detecting biases in code and requirements, emphasizing responsible AI practices.

Track 2: AI in Manufacturing & Digital Transformation

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 curators

Yash Gandhi is the co-founder of OrcaSheets, and a third-time founder. He has spent the last 12 years building AI products that people actually use – from conversational AI at Helpshift to investment analytics at GrowthPal. Currently he is working on OrcaSheets, a platform that makes billion-row data analysis as simple as browsing the web.

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

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