Mohamed Fazil
AI Engineer , Office of CTO Unisys
Bengaluru, India
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I am working professional in Unisys, part of the AI Practice team, office of CTO. I explore and experiment with latest AI tech. I am also a sustainability enthusiast. I have participated and won in some national and International Hackathons, also enjoy tinkering and playing with IoT projects. Big time Foodie - Love to travel and taste different foods.
Area of Expertise
Topics
AWS Multiagent orchestration
This session explores the evolution of agents, the need for multi-agent orchestration, and real-world applications using AWS. Through an engaging e-commerce use case and insights into future advancements, we’ll uncover the true potential of intelligent agent collaboration.
Beyond Recall: Creating Agentic Personas with Persistent, Evolving Memory
In most AI assistants, memory ends where the context window stops. Stateless “amnesiac” agents repeat questions, forget past promises, and fail to build trust over time. In this session, we will show how to turn Neo4j into a long‑term memory layer for AI agents, enabling persistent, evolving personas that learn from every interaction.
Using a customer success copilot as a concrete use case, the session will model conversations, events, and user traits as a graph, then demonstrate how an agent will query and update this memory to adapt its behavior over weeks and months. You will see how to design a graph schema for agent memory, orchestrate calls between the LLM and Neo4j, and implement patterns for recall, summarization, and “self‑reflection.” By the end of the session, you will understand how to move from short‑lived chat history to durable, graph‑native memory architectures.
All about Responsible AI
The session will cover the core elements of responsible AI and what to keep in mind while handling AI/ML solutions. Also provide some real world use cases embracing responsible AI
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