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This content is taken from the Coventry University & Institute of Coding's online course, Using Artificial Intelligence (AI) Technologies for Business Planning and Decision-making. Join the course to learn more.
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How can we use artificial intelligence to analyse data?

Each part of the supply chain requires different information to make decisions. Once you know what analysis you need, you can decide what information is required.

If you look at the diagram below, which depicts the whole Artificial Intelligence (AI) process from concept to visualisation, you will see that each step of the process feeds into the next and back to its predecessor. Defining your analysis, data requirements and processing is an iterative process. The more you know, the more you want to know.

The diagram shows the different phases in the AI process as seven text boxes arranged in a circle. There are arrows from each text box to the boxes preceding and following it to illustrate how information from each phase feeds into the phases preceding and following it. Reading clockwise from the top of the circle, the first box reads 'Ask interesting question. Frame problem. Business needs?'; The second box reads 'Collect data. Does data already exist? Privacy issues?'; the third box reads 'Process data. Data wrangling; Data cleaning'; The fourth box reads 'Explore the data. What patterns? Simple techniques'; The fifth box reads 'In depth analysis. ML. Complex stats.'; The sixth box reads 'Model data. Test model fit' Validate.'; The seventh and final box reads 'Communicate results. Visualisation. Storytelling.'A PDF of this diagram is available from the download section

Your task

Select one stage of the milk production process and think of a single analysis that a business might require – for instance, ‘how many bottles does the bottling plant need tomorrow?’

We have started at the ‘ask the interesting question’ stage; next we need to think about what data we might need. Follow your way around the diagram thinking through each stage.

The more you think about each stage, the more you might like to take a step back and add more analysis, which requires more data from more sources, which – in turn – prompts you to think of other, similarly useful analyses.

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This article is from the free online course:

Using Artificial Intelligence (AI) Technologies for Business Planning and Decision-making

Coventry University