Decision-making is a vital professional and personal skill. Managers and decision-makers, whether in public and private enterprises, strive for faster and better decisions but their efforts are hindered by complexity, uncertainty, conflicting objectives, trade-offs and information overload (or lack of information)! Additionally, they often have to navigate complex ethical considerations and meet the needs of different stakeholders.
In light of these challenges, Nadia Papamichail draws on her extensive experience across multiple projects to demonstrate how decision-aiding and AI-powered tools can be embedded into organisational decision-making processes to enhance decision-making efficiency and effectiveness.
She will argue that decision analytics provides a comprehensive set of sound approaches for systematically structuring and analysing decisions.
Finally, Nadia will discuss the latest trends in decision support (including AI, advanced analytics and conversational interfaces) as well as her latest areas of research (including topics such as explainability and AI ethics).
Nadia is a Professor at Alliance Manchester Business School (AMBS), The University of Manchester and a Fellow of the Alan Turing Institute.
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