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In the era of AI 'Time' and 'Data' are the most important factors which ensure success of every business. Although it's difficult to keep up with the pace of time, there are some powerful methods we can use to 'see things' ahead of time. One of the most popular use cases in machine learning aimed to enrich time based data is Time Series modelling. Time Series data very often requires a specialized type of storage, processing, modelling, and inference. Organizations utilize time series to solve critical problems such as detecting anomalies, optimizing staffing levels, managing inventory, forecasting future product demand, and many more.This session will introduce you to techniques and concepts in Time Series modelling based on various real-world scenarios.Share your questions below and you can watch the on demand recording here.