Jules will speak about his experience implementing AI systems in Government. He will focus on a recent case study - LILT’s generative AI platform which can translate a large amount of content rapidly. When a European law enforcement agency needed a dynamic solution to translate high volumes of content in low-resource languages within tight time constraints, they turned to LILT. LILT's generative AI platform, powered by large language models, enabled faster translation of time-sensitive information at scale by leveraging NVIDIA GPUs and NVIDIA NeMo, an end-to-end enterprise framework for building, customizing, and deploying generative AI models. Further information: https://www.nvidia.com/en-gb/case-studies/lilt/
Jules leads LILT's government business in EMEA and Australia. Prior to joining LILT, he was an early partner in a venture fund focussed on dual-use technology. Formerly he was a specialised British Army Officer, deployed in the Middle East and Africa, and published papers on grey zone and asymmetric warfare in multiple Defence journals . He received a first class BA in Music and Russian language and has published papers on technology for musicology. He spends his spare time with his wife, reading, making music, and writing.
Jules leads LILT's government business in EMEA and Australia. Prior to joining LILT, he was an early partner in a venture fund focussed on dual-use technology. Formerly he was a specialised British Army Officer, deployed in the Middle East and Africa, and published papers on grey zone and asymmetric warfare in multiple Defence journals . He received a first class BA in Music and Russian language and has published papers on technology for musicology. He spends his spare time with his wife, reading, making music, and writing.