Talk: AI for Agile: From Theory to Implementation - Proposal for workshop

Talk description

Title:	AI for Agile: From Theory to Implementation - Proposal for workshop
Short synopsis:	According to Gartner, it is estimated that by year 2030, up to 80% of routine work — which represents the bulk of human hours expended across today’s PPM disciplines — could be eliminated as a result of collaboration between humans and smart machines. Similarly, by year 2030 Agile would have become standard delivery method adopted by organizations across the globe. It means there is very high probability of activities that Scrum Master, Product Owner and the team which are doing today will be automated or will be done managed by smart machines. AI will play significant role to automate most of the activities involved in the areas of Agile requirement/backlog management, project management, scrum management & continuous delivery areas. Bots and AI will be extensively used to achieve this and thus enabling team to focus on other high value innovation activities. In this proposed workshop, we will help participants to familiarize with industry standard AI maturity levels and popular Machine Learning methods and how to apply them to Agile delivery processes with real world solutions. Solutions include automating routine tasks through to providing concrete, data-driven insights to improve team performance or to identify areas which calls for Agile coach’s attention. The workshop will adopt case study based role play approach which will guide participants to apply their newly acquired AI knowledge to identify potential areas for deployment of Automation and AI. Max size: 500 chars
Long synopsis (optional):	Outline/structure of the Session First half (Topic Introduction): Challenges Experienced While Adopting & Scaling Agile Top 5 Success Factors Understanding What AI Is? There Is No Single Technology Called AI Intelligent Business Automation Continuum AI Technologies And Capabilities AI Is Going To Help In Success Of Agile Automation & AI In Agile Is Already A Reality ML Models With Agile Examples Second Half (Hands on Session for Participants/Workshop) Case Study Walk through including data sets Participants to identify Automation & AI Opportunities Categorize AI Opportunities Based on Intelligent Business Automation Continuum Learning Outcome Agile SMEs should be able to leverage AI to address delivery challenges and to contribute to Agile success in their organizations. Target Audience Change Enablers, Scrum Masters, Product Owners, People with Academia interest Max size: 5000 chars
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