Context driven AI Agents

In this session, we will explore how agents are built and use dynamic context to execute complex tasks and deliver real value. This also includes using context engineering to move beyond single prompt based interactions. The session covers demos on Microsoft Foundry, Microsoft Agent Framework and Azure.

The key takeaways would be :

- Context engineering, manage memory tools, and tasks for adaptive behaviour
- Agent architecture, LLMs and feedback loops
- Prompt engineering into the larger system
- Real world use case and common pitfalls when deploying AI agents

Technology - Microsoft Foundry

Shubhangi Goyal is an award winning experienced professional in data and AI from companies like Tata Consultancy Services to agile start-ups. She has a background in computer science engineering with an MSc in Business Analytics from the University of Bath, UK. She works as a Senior Analyst at a leading FTSE100 company in financial services and insurance in the UK. Previously, she led the data function of ICS AI Ltd, which is a Microsoft UK inner circle partner, focusing on artificial intelligence at the forefront of technology for the public sector in the UK.

She has worked in data analytics, data science, data strategy, and AI, leveraging algorithms to extract insights, identify patterns, and understand human language in large datasets. She leads the London Chapter for Women In Data which is a platform for tech enthusiasts of all backgrounds to connect, grow and learn together.

She is a verified expert and mentor at TopMate. She has also been the judge of Datathon 2024 and has delivered sessions in over 10 countries. She has also been nominated for WomenTechNetwork global awards.