Do you use neural networks in your work? Which ones and how?

Yes, neural networks are actively used in the work of a systems analyst to automate routine tasks and improve the quality of analysis.

Examples of usage:

• Processing and analyzing large volumes of data — neural networks help identify hidden patterns and anomalies in data.
• Automatic classification and categorization of requirements — for example, distributing user stories by priorities or types.
• Natural Language Processing (NLP) — for analyzing requirement texts, automatically generating documentation, and creating reports.
• Forecasting and modeling — based on historical data, risks or project completion timelines can be predicted.

Ready-made models and services are often used, such as transformers for NLP (BERT, GPT), as well as specialized tools for data analysis and visualization.

Example: when analyzing a large number of user reviews, a model can be used to automatically identify key issues and suggestions, which will speed up decision-making.