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Victory Uchenna

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Enterprise Solutions Architect Amazon Web Services

Victory is a Solutions Architect with strong experience designing cloud-native and AI solutions for enterprise customers in regulated industries. She focuses on helping businesses unlock the value of their data through scalable architectures and emerging technologies.

These days, Victory spends her time building and enabling insurance customers to use Generative AI to automate and accelerate claims processing—unlocking insights from unstructured documents with tools like Amazon Bedrock and Textract.

She is also an active voice in the data community, contributing thought leadership on how data mesh principles can help organisations decentralise ownership, improve data accessibility, and build more resilient data ecosystems.

Bio from: Big Data LDN 2025

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Data is one of the most valuable assets in any organisation, but accessing and analysing it has been limited to technical experts. Business users often rely on predefined dashboards and data teams to extract insights, creating bottlenecks and slowing decision-making.

This is changing with the rise of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). These technologies are redefining how organisations interact with data, allowing users to ask complex questions in natural language and receive accurate, real-time insights without needing deep technical expertise.

In this session, I’ll explore how LLMs and RAG are driving true data democratisation by making analytics accessible to everyone, enabling real-time insights with AI-powered search and retrieval and overcoming traditional barriers like SQL, BI tool complexity, and rigid reporting structures.