Imubit: Closed-Loop AI Optimisation for Refineries | Kelly Harred | AUTOMA 2024 скачать в хорошем качестве

Imubit: Closed-Loop AI Optimisation for Refineries | Kelly Harred | AUTOMA 2024

Kelly Harred is Chief Customer Officer at Imubit, a pioneer in closed-loop optimisation powered by reinforcement learning. Imubit’s software brings together plant data and deep domain expertise to help refinery teams optimise single and multi-unit operations, reduce giveaway and improve overall performance across LP modelling, operator optimisation and training. At AUTOMA 2024, Kelly spoke about a major shift underway in the industry: moving away from siloed teams and fragmented models towards a single, shared version of the truth. Imubit’s recently launched Process Foundation Model applies the concept of foundation models to industrial processes, continuously learning from live plant data to support optimisation, troubleshooting and workforce enablement. She also emphasised that the biggest challenge in digital transformation is not technology, but change management — sustaining value as operations evolve and teams change. Kelly highlighted Imubit’s customer success–driven approach as a key differentiator, ensuring long-term ROI through continuous model updates, training and close collaboration with refinery teams. Reflecting on AUTOMA, she underlined the value of the congress as a place to meet both existing and future customers, exchange real operational challenges, and explore practical next steps together in an open, focused environment. 📍 Filmed at AUTOMA 2024 – Oil & Gas Automation and Digitalisation Congress 🎥 Organised by BGS Group – https://bgs-group.eu 🔗 Learn more about AUTOMA: https://automa.tech 🔗 Follow BGS Group for more insights from industry leaders –    / @bgsgroup   #AUTOMA2024 #Imubit #ArtificialIntelligence #ReinforcementLearning #ProcessOptimisation #DigitalTransformation #Refining #Automation #CustomerSuccess #BGSGroup 00:00 Introduction 00:15 What Imubit does: closed-loop optimisation with AI 00:55 Process Foundation Model and live data learning 01:45 Breaking silos: one model, one version of the truth 02:50 Change management as the real challenge in AI projects 03:40 Customer success model and sustaining long-term value 04:30 Reflections on AUTOMA and industry engagement