​✦ ThAT Thursdays: Fellowship Seminars with Rachel Wagner-Kaiser

​We are pleased to announce an upcoming session of the Thinking About Thinking Fellowship Seminar Series, bringing together researchers and entrepreneurs working at the frontier of intelligence across AI, neuroscience, mathematics, and cognitive science.

​𝑺𝒆𝒎𝒊𝒏𝒂𝒓 𝒕𝒊𝒕𝒍𝒆: Artificial Intelligence as a Property of a System

​𝑫𝒂𝒕𝒆: 9th July 2026
𝑻𝒊𝒎𝒆: 6pm BST
𝑳𝒐𝒄𝒂𝒕𝒊𝒐𝒏: https://riverside.com/webinar/registration/eyJldmVudElkIjoiNmE0NTBlOWE2ZGE0NGVmN2NkZTQ4MDQzIiwic2x1ZyI6InRoaW5raW5nLWFib3V0LXRoaW5raW5ncy1zdHVkaW8ifQ==
𝑯𝒐𝒔𝒕𝒆𝒅 𝒃𝒚: Gargi Bannur
𝑺𝒖𝒑𝒑𝒐𝒓𝒕𝒆𝒅 𝒃𝒚: XTX Markets | Cooley LLP

​For this session, Rachel Wagner-Kaiser will explore why intelligence is best understood not as the property of a single AI model, but as an emergent property of an entire system.

​While individual AI models often receive the spotlight, practical AI solutions are rarely built from a single capability. Real-world business applications achieve intelligent behaviour through the interaction and integration of multiple components rather than a single algorithm or model.

​Using an applied business example, Rachel will examine how data sources, specialised models, human expertise, and orchestration mechanisms combine to solve complex problems. By comparing how humans and AI-enabled systems approach the same task, she will demonstrate how intelligent behaviour emerges from coordinated capabilities rather than any one component alone.

​The seminar offers a practical perspective on modern AI deployment, highlighting how intelligent systems are created through the integration of people, models, data, and workflows to solve real-world business challenges.

​𝑨𝒃𝒐𝒖𝒕 𝒕𝒉𝒆 𝒔𝒑𝒆𝒂𝒌𝒆𝒓:

​Rachel Wagner-Kaiser, Ph.D., is a Director and Data Scientist at KPMG with more than 15 years of experience in data science and artificial intelligence. She specialises in building AI and natural language processing solutions for real-world problems constrained by limited or messy data.

​Rachel leads technical teams across industries to design, build, deploy, and maintain NLP systems that help organisations organise and decode unstructured data, enabling automation at scale and creating measurable business value.

​She is also the author of Teaching Computers to Read, a practical guide to designing effective AI solutions.

​Bring your insightful questions and join the discussion.

​#ThinkingAboutThinking #ThATThursdays