2025-09-13 –, Track 1
In an era where AI models are evolving rapidly, context is everything. Model Context Protocol (MCP) bridges the gap between static models and dynamic, real-world interactions. This session will explore how MCP empowers AI to adapt, refine, and optimize decisions based on contextual cues—leading to smarter predictions, personalized experiences.
Attendees will gain a deep understanding of MCP’s components, application, challenges, and future potential. Whether you're an AI enthusiast, a researcher, or an industry professional, this talk will provide valuable insights into leveraging MCP for real-world innovation and enhanced AI decision-making. Join me to unlock the future of intelligent, context-aware models!
In an era where AI models are evolving rapidly, context is everything. Model Context Protocol (MCP) bridges the gap between static models and dynamic, real-world interactions. This session will explore how MCP empowers AI to adapt, refine, and optimize decisions based on contextual cues—leading to smarter predictions, personalized experiences.
Following are the topics covered in the talk
- Overview of AI model adaptation challenges
- Why context matters in AI decision-making
- Overview of Model Context Protocol (MCP)
- How MCP enhances AI models with contextual awareness
- Key components and structure of MCP
- Differences between traditional models and MCP-enabled systems
- Real-World Applications of MCP
- Challenges in Implementing MCP
- Future Prospects and Innovations in MCP
Basic knowledge of Large Language Models
Target Audience –Beginner
I am a mechanical engineering graduate with 3 decades of experience in manufacturing and financial services domains, I have started my career as design engineer in hydraulic turbine manufacturing company. After spending 5 years, I have stated my IT journey at Aspect Development/i2 Technology. I have worked primarily on data scrubbing, modelling, analysis and data migration projects for supply chain management. I then joined technology services side of a financial services company and currently working as data scientist. I have been using python for last 10+ years for automation, data analysis, data science, web development, etc. I am very excited about the endless opportunities that arise in day today work and application of python for solving problems, automating day to day activities. I conduct regular training sessions for data analysis ( numpy, pandas, scikit-learn and matplotlib) in my company.
I am a regular speaker at Pycon India conference. I have done various talks and workshops in Pycon India since 2017.