Chapter 5. Predictive Analytics and Performance Optimization
In today’s software-driven world, businesses generate vast amounts of data from their applications, users, and operations. This data holds valuable insights that can be used to make decisions, predict trends, and improve system performance. The ability to analyze and act on this data has become a critical skill for software engineers.
In this chapter, I tap into data analytics and business intelligence, and I’ll test how state-of-the-art AI tools can help businesses understand their data and improve their results. Whether it’s predicting future user behavior or optimizing resource usage, data analytics opens up new possibilities. Here are three key angles this chapter will cover:
- Analyzing data
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The first promise these tools make is that users can query large datasets by asking questions in natural language. This seems attractive, given how costly it is for companies to build visualization dashboards on top of their databases.
- Distilling advanced insights
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Companies often want to correlate data points and find patterns in order to understand user behavior or spot some malfunction in their processes, in ways that go well beyond simply querying the data to count and sum fields. Again, the costs of such projects prevent many companies from even stepping into this territory, so the promise of AI tools removing this barrier is a big one.
- Predicting future behavior
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The ultimate promise of data science and business intelligence ...
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