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Cover Image for Edmonton Data Society - Overcoming Contextual Challenges in LLM Applications
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Edmonton Data Society - Overcoming Contextual Challenges in LLM Applications

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​The Edmonton Data Society is thrilled to kick off our 2026 presentations with a deep dive into one of the most pressing challenges in modern AI systems: context management in Large Language Model (LLM) applications.


​🧠 Presentation

​Context Is the New King: Overcoming Contextual Challenges in LLM Applications

​Abstract
As Large Language Models (LLMs) evolve from simple chatbots to powering complex, production-grade systems, one challenge consistently rises to the top: managing context. Whether it's a single-turn query or a multi-step agentic workflow, the ability to maintain and manipulate context is critical to building reliable, intelligent applications.

​This talk introduces the emerging discipline of context engineering—a set of principles and practices for designing LLM systems that are robust, scalable, and context-aware. We will explore real-world challenges and practical strategies for handling context in LLM-based applications, including agent-based architectures where LLMs must reason, plan, and act over time.


​🎤 Speaker

​Pallavi Srivastava


​Speaker Bio

​Pallavi Srivastava is an AI engineer who turns machine learning into scalable, production-ready systems. She builds cloud-native platforms that combine microservices, LLMs, and vector search—most recently leading AI platform engineering at Cvent, where her work powers semantic search agents, client intelligence services, and insight-generation tools used across the business. Her career spans finance, telecom, and event technology, delivering recommendation engines, document intelligence pipelines, and risk modeling systems. With a PhD from IIT Bombay and research experience at the University of Pennsylvania and Columbia University, Pallavi blends deep scientific rigor with practical engineering execution in complex environments.


​📅 Event Details

  • ​Date: Thursday, January 22nd, 2026

  • ​Time: 5:30 PM – 8:00 PM

  • ​Location: Singhmar Centre for Learning (SCFL), Room 3-091
    10215 108 St NW, Edmonton, AB


​🗓️ Event Schedule

  • ​Doors Open | 5:30 PM

  • ​Organizer’s Welcome | 6:00 – 6:05 PM

  • ​Main Presentation | 6:05 – 6:50 PM

  • ​Networking & Socializing | 6:45 – 8:00 PM


​🤝 Sponsor Acknowledgements

​We are grateful for the continued support of our community partners:

  • ​NorQuest College – Supporting accessible, industry-aligned education and providing a welcoming space for community learning.

  • ​KPMG – Empowering data-driven decision-making and innovation across industries through advanced analytics and AI expertise.


​📌 Special Notes

  • ​🚨 Room change reminder: Our room is now SCFL 3-091 (previously 3-071).

  • ​Doors open at 5:30 PM—come early to grab a seat and say hello!

Location
Singhmar Centre for Learning-SCFL
10215 108 St NW, Edmonton, AB T5J 1L6, Canada
Avatar for Edmonton Data Society
Hosted By
37 Went