Integrating Artificial Intelligence, Machine Learning, and Business Intelligence for Strategic, Ethical, and Resilient Business Systems

Abstract

We are delighted to introduce you to Volume 2, Issue 2 of the Dibon Journal of Business entitled "From Data to Decision Intelligence: Integrating Artificial Intelligence, Machine Learning, and Business Intelligence for Strategic, Ethical, and Resilient Business Systems". This theme is a very interesting and important one in the current business research and managerial practice. In many industries, organisations are focusing more and more on intelligent technologies as a means to make their operations more efficient, but also to better inform strategic decision-making, organisational learning, innovation, and long-term resilience. With the ongoing digital revolution changing markets, institutions, and organisational processes, the adoption of AI and ML and the introduction of BI have emerged as key pillars for understanding how organisations can manage uncertainty and stay competitive, accountable and sustainable. As digital data becomes more accessible, organisations are gaining greater insights into customers and are able to optimise their operations, predict market trends and manage their resources more effectively. But data is no source of organisational value. The key to the competitive edge of digital transformation lies in transforming raw data into valuable insights and, ultimately, into informed strategic decisions. This pathway from data collection to analyzing data and interpreting it meaningfully to making intelligent decisions has become one of the hallmarks of modern organisations. As a result, business research nowadays has focused on developing analytical models and also on the organizational, behavioral, ethical, and governance aspects that influence business outcomes from technological innovations. In this context, Decision Intelligence has gained more and more academic and practical interest. Decision Intelligence is not only about a purely data-driven or a purely technological approach to decision-making, but is, on the contrary, an interdisciplinary approach that combines data analytics, AI, behavioural sciences, organisational know-how and managerial expertise to enhance decision-making. Importantly, Decision Intelligence is not about substituting human judgement for algorithms. Rather, it acknowledges that the best decisions in an organization are made as a result of collaboration between computational power and human experience, contextual knowledge, ethical consideration and strategic foresight. This is an evolving trend of intelligent technologies, as decision support systems that support, but do not replace, managerial responsibility.