AI in Leadership Decision-Making and Strategy Formulation

Abstract

The main focus of this research is to explore the use of machine learning algorithms to carry out the predictive analytics and hence it serves as a hedging tool for leadership decision-making and strategy development. With decades of structured and unstructured data from organization, you can predict future trends in the market, operational risks as well as customer behavior in with higher confidence. Continuous learning of data patterns with Tree Decision as well as Neural Network predictions, also include Artificial Intelligence (AI) predictions. It provides strategic forward looking for executives to make tactical decision. The ability to include predictive analytics in leadership allows this to improve pro active development of strategy and efficient resource allocation as well as reduce uncertainty within today’s changing business landscape. This one way enables one get a culture of facts on which strategic choices are no longer held on blind guesses but on facts. The research concludes that either to address the challenges and/or to capture opportunities which emerge across business domains, business leaders with machine learning supported predictive analytics tool set enables them to better respond to the challenges and exploit opportunities, thus deriving the sustained competitive advantage to drive the growth. Quantifiable results are demonstrated in the case of in-place studies related to increased strategic agility as well as long term performance.