Many software systems designed for Business Processes (such as Enterprise Resource Planning (ERP) systems for instance) are recording so-called event logs. Those events can be aggregated into whole cases i.e. (from the beginning of a Business Process to the end of it) as a sequence of events relevant to this process case.

In the vast landscape of artificial intelligence, recommendation models stand as beacons of personalized user experiences. These intelligent systems, powered by complex algorithms, analyze user behavior, preferences, and patterns to offer tailored suggestions. Today, we unravel the fascinating applications of AI Recommendation Models across diverse sectors, showcasing how they’re reshaping our digital world.

In today’s data-driven world, businesses and organizations are constantly seeking ways to gain insights and make informed decisions. One powerful technique that plays a pivotal role in this endeavor is Time Series Forecasting. Whether you’re in finance, healthcare, retail, or any industry that relies on historical data, understanding time series forecasting is essential.