Agile & AI: From Theory to ImplementationRaghavendra MeharwadeManagerAccenture Services Pvt Ltdm nishaAssociate ManagerAccenture
schedule 6 months agoSold Out!
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.
Disclaimer: This Workshop Proposal has been submitted for participation purposes only and is not intended to serve as advice of any nature whatsoever. This Workshop Proposal also contains certain information available in public domain, created and maintained by private and public organizations. The Workshop Proposal is the property of Accenture and its affiliates and Accenture be the holder of the copyright or any intellectual property over the news release. No part of this document may be reproduced in any manner without the written permission of Accenture. Opinions expressed herein are subject to change without notice.
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