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#164 - The one with updates to Master Data from Teams @ Mars (Steve Curtis) | SAP on Azure Video
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2023Oct 13
In episode 164 of our SAP on Azure video podcast we talk about SAP Master Data updates from Teams. In previous episodes we had talked about Teams, leveraging AI services for a better chatbot experience and talked about how this could be connected to an SAP system. We even showed some demos -- but it was just that: proof of concepts! Today we have a very special guest: Steve Curtis from Mars. He has build an MDM Chatbot in Teams that allows mass updates to Master Data in SAP MDG using MS Teams -- which is actually live and running for some time now at Mars.
  • 0:00 Intro
  • 1:22 Introducing Steven Curtis
  • 5:00 History of working with master data
  • 8:20 Demo on MDG
  • 13:30 Working in Excel
  • 19:10 Adoption of the solution
  • 26:00 Error handling
  • 29:20 reducing time to resolve issues
  • 30:30 What's next?
  • 32:50 Tell me a joke
  • 33:50 How was this developed?
Find all the links mentioned here: https://www.saponazurepodcast.de/epis... Reach out to us for any feedback / questions: #Microsoft #SAP #Azure #SAPonAzure #Teams #AI #MDM #MasterData #MDG #Excel Summary created by AI
  • Introduction of Steve Curtis and his MDM chatbot in Teams: Steve Curtis is an MDM lead at Mars who built a chatbot in Teams that allows users to update master data in SAP MDG using Excel templates and AI services.
  • Demo of the chatbot functionality and benefits: The chatbot can handle different scenarios such as creating new customers, updating existing customers, and validating data. It can also provide feedback, email notifications, and error handling. The chatbot reduces the need for tickets, training, and manual intervention, and improves the user experience and data quality.
  • Technical details and challenges of the chatbot development: The chatbot uses Azure Bot Framework, QnA Maker, LUIS, and Cognitive Services to interact with users and SAP systems. The chatbot faced some challenges such as security, compliance, and data mapping, which were solved by using onedrive, encryption, and lookup tables.
  • Future plans and enhancements for the chatbot: The chatbot is currently in production for one region and one data domain, but it will be extended to other regions and domains soon. The chatbot will also be improved by adding more intelligence, creativity, and humor to the conversations.
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