Tim Clarke
Powering the Future with Data Intelligence
Aberdeen, United Kingdom
Actions
Tim is driven by a passion for harnessing cutting-edge technologies to bridge the gap between humans and machines, transforming the way we understand, interpret, and interact with information. Holding an MA in Religious Anthropology and an MSc in Data Science, Tim has had a diverse career, initially working internationally in the Oil Industry before shifting his focus to the tech sector. His expertise now centres on Natural Language Processing (NLP) and Knowledge Graph techniques to link complex datasets, facilitating more efficient data mining.
His background in Anthropology equips him with a profound understanding of human behaviour, cultural dynamics, and societal structures—skills that have been invaluable in his role as an NLP Engineer. This awareness allows Tim to design NLP systems with a deep appreciation for context, cultural nuances, and diverse perspectives.
Area of Expertise
Topics
AI Literacy: Because Ignorance Isn’t a Strategy
AI is no longer a distant, futuristic concept—it is embedded in the tools we use everyday, influencing everything from Government policy to keeping Nigerian Princes out of your inbox. Yet, public understanding of AI remains limited, it’s a black box surrounded by confusion, misinformation, and uncertainty, rather than practical knowledge grounded in fact. Without widespread AI literacy, these technologies will remain concentrated among a small elite, restricting meaningful public engagement and informed discussions.
This session explores how AI literacy serves as the foundation for responsible AI adoption, transforming it from a buzzword into a practical skillset that empowers individuals across all levels of an organization. AI literacy isn’t technical proficiency—it is the ability to understand, evaluate and make informed decisions about artificial intelligence. The session will demystify key concepts of AI Literacy while also addressing ethical considerations and governance associated with AI.
Building AI literacy isn’t a one-time initiative—it requires a structured, ongoing approach. Effective strategies begin with assessing knowledge gaps and tailoring training pathways for different roles within an organization. Attendees will leave with a roadmap for implementing AI literacy initiatives fostering critical thinking about AI applications.
Beyond Semantic Search - Leveraging LLM's, RAG and Knowledge Graphs
Review of a personal project applying emerging NLP technology to extracting effective insights from Drilling Reports.
Tim Clarke
Powering the Future with Data Intelligence
Aberdeen, United Kingdom
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top