The Business Intelligence (B.I.) landscape is evolving with the adoption of Artificial Intelligence (AI), expanding its capabilities beyond simple data presentation to predictive analysis, real-time insights, and action-oriented decision-making. As AI enhances B.I., new sources of data are being explored, including IoT, click tracking, RPA systems, and conversations, which are analyzed using big data technologies like Apache Hadoop and Spark. Predictive business analysis is becoming increasingly popular, enabling organizations to predict future outcomes based on historical data, while conversational intelligence platforms can extract insights from real-time customer conversation experiences. The influx of data encourages the use of proactive, real-time systems for reporting and analysis, with a focus on actionable intelligence and the exploitation of all available data sources.