From Search to Success: OSRAM's GenAI Bot Elevates Document Retrieval

Overview

Discover how OSRAM streamlines document retrieval in production workflows with a GenAI chatbot, enabling quick access to precise information and reducing search times for enhanced operational efficiency.

Syllabus

• Introduction to OSRAM's Document Retrieval Challenges
Overview of traditional document retrieval methods
Common challenges faced in production workflows
• Fundamentals of Generative AI (GenAI)
Understanding Generative AI: Concepts and Applications
Key technologies enabling GenAI
Overview of AI bots and chatbots
• Designing the GenAI Bot for OSRAM
Project goals and objectives
Key features and capabilities of the GenAI Bot
Integration with existing OSRAM workflows
• Training the GenAI Bot
Data requirements and preparation
Model selection and customization
Training process and evaluation metrics
• Implementing the GenAI Bot in Production
Deployment strategies and considerations
User interface design for seamless interaction
Ensuring system reliability and security
• Enhancing Document Retrieval with GenAI
Automating search processes
Reducing retrieval times and improving accuracy
Real-world case studies and success stories
• Measuring Success and Efficiency Gains
Key performance indicators (KPIs) for success
Evaluating operational efficiency improvements
Continuous improvement strategies
• Future Directions and Innovations
Evolving GenAI capabilities
Potential for further applications within OSRAM
Emerging trends in AI-driven document retrieval
• Conclusion
Recap of learnings and outcomes
Discussion on the impact of GenAI on operational efficiency
• Additional Resources
Suggested readings and external sources for deeper understanding
Tools and technologies used in the course

Subjects

Computer Science