Have you ever wondered how streaming companies know what movies and TV shows you will like? Or how do retailers know which products you will want to buy? It's all thanks to Predictive Analytics and AI. Predictive Analytics is a way of using data to predict future events. Businesses and organisations of all types use Predictive Analytics to make better decisions. Here's a simple example:Imagine you're running a lemonade stand. You want to know how much lemonade to make on a given day. You could just guess, but wouldn't it be better to know with more confidence how many people will want lemonade? You could use predictive modelling to figure this out. You could use data like past sales numbers, the day of the week, and the weather forecast to predict how many people will want lemonade on a given day. By bringing in the power of large language models[ AI] along with Predictive analytics you can greatly improve the quality of decision making.With AI, the portfolio of models available to the decision maker becomes immense. AI with Predictive Analytics can be used to predict all sorts of things, like:- How many people will attend a concert?- How many products a company will sell?- How much traffic there will be on a given road?- How likely a customer is to churn?- How likely a student is to succeed at university? etc.In this module, you will learn about AI along with different predictive analytics techniques and how to use them in combination to help your organisation make more accurate decisions about future events.