From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
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AI applications - Amazon Web Services (AWS) Tutorial
From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
AI applications
- [Instructor] Ultimately, when we're building machine learning systems, we're trying to meet common requirements. We're looking ultimately at what patterns we're looking for and how they can be leveraged. For example, the ability to determine market trends, within marketing data or sales information, that's within the enterprise. What patterns are occurring there that we need to be understood and how can we automate the use of those patterns to grow different data, to deal with different business systems, to leverage the information as a strategic advantage when looking at how we're investing in products, services, people? Ultimately, the ability to deal with dynamic data and when that data's going to be available. So, machine learning systems are valuable, not because they're looking at a static amount of information, but because they're looking at data that's always going to be changing, their ability to adapt to…
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