From Code to Insight: Agentic AI, MCP, and Automation in Practice

Join us for an evening of practical talks exploring how Python, automation, and agentic AI are being applied to solve real-world challenges across analytics, finance, and modern data platforms.
We are excited to feature three speakers bringing different perspectives on intelligent automation in practice.

In “Automation in Action with PlotSense: Transforming Data into Insights with Explainable AI,” Christian Chimezie will show how automation and explainable AI can reduce the manual effort involved in analytics by generating visualisations, surfacing patterns, and explaining findings in ways that are accessible to both technical and non-technical users.

In “Agentic AI in Practice: Building Reliable Financial Workflows with Python,” Shahid Malika Kandy will explore what it takes to move AI agents from experimental Python scripts into resilient production systems. The session will cover practical workflow design, orchestration, state management, fallback strategies, and real-world financial data use cases.

Agenda

• 6:00 PM – 6:10 PM: Arrival and welcome
• 6:10 PM – 6:55 PM: Automation in Action with PlotSense: Transforming Data into Insights with Explainable AI – Christian Chimezie
• 6:55 PM – 7:40 PM: Agentic AI in Practice: Building Reliable Financial Workflows with Python – Shahid Malika Kandy
• 7:40 PM – 8:00 PM: Q&A and networking

Whether you are interested in explainable AI, intelligent analytics, production-grade agent workflows, or the future of automation in Python, this event offers valuable insights, practical lessons, and the chance to connect with others working across data and AI.
Come along to learn, share ideas, and see how modern Python systems are moving from code to insight, and from insight to action.