Predictive AI can also help identify hidden patterns and correlations in performance data that may not be immediately apparent to managers. For instance, it can analyze the relationship between cycle time, code review time, and code churn to optimize software development processes. By automating performance reports, AI can provide a deeper level of analysis than manual reports, helping organizations make more informed decisions.
Key takeaways:
- Predictive AI can analyze data to foresee possible future patterns and behaviors, automatically set goals based on real-time data, generate recommendations for improving teams’ performance, and process far more information than was possible before.
- Engineering management and intelligence platforms are encouraged to start using AI to collectively move into a new era of management.
- AI can help identify patterns and correlations that might not be immediately apparent to managers, enabling organizations to make more informed decisions to optimize their software development processes.
- AI can automate insightful performance reports telling leaders where they should be making improvements, and it can process all existing data on a team’s performance, as well as internal and external benchmark data.