From the course: Introducing AI to Your Organization

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Data collection and AI modelling

Data collection and AI modelling

From the course: Introducing AI to Your Organization

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Data collection and AI modelling

- [Instructor] Now, remember that the purpose of this course is to identify what's required to introduce AI into an organization and how to go about it. I won't get into the technical details of creating AI models here. I've covered some of these topics in my other machine learning, deep learning framework courses with Charis and PyTorch and pandas for data analysis. So the start of the AI project might include things like setting up cloud accounts and credentials, extracting data from the platform. It might even be providing only samples of data to the data science team to work on while the rest is ingested. Now, this is where it really helps to have a generalist team, one where you can share out tasks within the team. At the start of the project, the data scientists might not have access to all of the data. There will still be many tasks that they can help with in ingesting some of the data from the platform to the AI…

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