Agile is becoming a standard delivery method adopted by organizations across the globe. Majority of these organizations have called out their Agile practices are at or below still maturing level. These solutions may range from automating routine tasks to providing concrete, data-driven insights to improve a teams performance or identify areas that call for an Agile coaches attention.
- Applying Agile is a mindset change rather than a process change compared to traditional methods. Challenges faced by teams while practicing Agile include:
- Limited experience with agile.
- Slowing down of work due to limited access to a product owner
- Incomplete/less detailed user stories leading to a high onshore dependency
- Struggle to keep momentum with continuous churn of agile events through active participation and maintain quality of artifacts (backlog, burndown, impediment list, retrospective action log)
These challenges manifold when delivery teams in an industry are practicing distributed agile at scale. In the last couple of years, we have to see the infusion of artificial intelligence (AI) in the IT industry. But, can AI help address some of these challenges?
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