Abstract: Applying Agile is a mindset change rather than a process change as compared to traditional methods. Some of the typical challenges faced by teams in the Industry while practicing Agile are:
• Limited experience with agile
• Slowing down of work due to limited access to Product Owner
• Incomplete\less detailed user stories leading to high onshore dependency
• Struggle to keep momentum with continuous churn of agile events through active participation and to maintain quality of artifacts (backlog, burndown, impediment list, retrospective action log)
These challenges manifold when delivery teams within the Industry are practicing distributed agile at scale. In the last couple of years within the IT industry we are seeing the infusion of Artificial Intelligence (AI). The question which come up is, Can AI help to address some of the above challenges?
At Accenture, we have introduced virtual Scrum Master that resides in our intelligent automation platform, Accenture myWizard®; The virtual Scrum Master uses set of AI technologies to collaborate with their human co-workers to help address above mentioned challenges. It monitors numerous aspects of Agile development projects—consisting of requirements, releases, metrics and resources—alerting the team of any potential issues and providing possible solutions.
Learning Outcomes: - We will like to share on how Virtual Scrum Master has helped teams on the following aspects of Agile product development:
- *Identify and automate repetitive Agile tasks.
- *Gain insights to effectively drive Agile ceremonies, and create quality deliverables.
- *Use historical information to predict the future and take corrective measures when needed.
- *Analyze patterns/relations/co-relations of historical and transactional project data to diagnose root causes
- *Drive standardization of Agile practices while scaling in a distributed fashion
- But then it’s not been hunky dory all the time, we are facing some tough questions from the Agile teams about taking risk of going against one of core value of Agile – Individuals and Interactions Over processes and tools! Are we trying to build AI agents which will take over Scrum Master jobs?
- We will like to talk about our perspective on this. We believe that AI in Agile will not replace the collaboration between and within the teams but augment it to the next level where Scrum Master and Machine work together to achieve continuous improvement.
- In this session, we will share a case study where we have implemented the virtual Scrum Master to gain efficiency within a distributed Agile team.
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