The discipline of Operational Research (O.R.) is entering a transformative phase as autonomous agents begin to occupy the core decision-making loops of modern organisations. This shift necessitates a move from the traditional delivery of discrete analytical models toward the design of continuous, integrated systems where O.R. methodologies provide the necessary cognitive architecture.

This masterclass examines how O.R. across its many methodologies and methods, can act as the stabilising force for non-deterministic AI. For the practitioner, the transition involves moving beyond the role of a passive analyst to become an architect of autonomous logic, responsible for ensuring that agentic behaviours align with systemic objectives, resource limitations, and organisational constraints.

Ultimately, the session argues that the success of AI in complex, high-stakes environments is predicated on O.R. expertise, as these methods offer the structured reasoning, validation frameworks, and systemic foresight that generative models inherently lack. By integrating classical O.R. rigor with agentic flexibility, practitioners can transform experimental AI into reliable, verifiable operational tools.

Dr Michael Mortenson:

Dr Michael Mortenson is the incoming Course Director for the MSc in Business Analytics at Warwick Business School and a lead academic at the Gillmore Centre for Financial Technology. He holds a PhD in Analytics and an MSc in eBusiness. His specialisms include natural language processing, computer vision, Bayesian methods and data engineering. Alongside his academic work he has significant practical experience working on data science, AI and digital transformation projects for companies such as Amazon Web Services, Vodafone and Newcastle Airport.

 
ORS Members: £15 + VAT

Non Members: £25 + VAT

Datacamp/Enhanced members: please email [email protected] for a complimentary discount code. 

CPD Hours: 1 Hour, 15 Min

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