Time zone:
English
Intermediate
Other
Organizations typically have data scattered all around: on premises file shares, databases, SaaS products, SharePoint & Teams... They often remain stuck in proof of concept phase, when it comes to building valuable gen AI solutions on top of that data. The main reason? Too much money and effort goes into plumbing the required data integrations, efforts that are mostly not reusable. This demo-packed talk explains how to run gen AI at the scale of your enterprise. I’ll showcase a plug and play architecture for gen AI solutions, that focuses on maximum reuse, cost effectiveness, security and scalability. Do you want to build a bot on top of your various knowledge bases? Do you want to automatically process documents with unstructured data? Do you want to validate documents against your company rules? Just pick the right components, configure them and focus an finetuning the gen AI agents for your specific business needs, instead of losing all your valuable time to stitching it all together. RAG or Graph RAG? Just a matter of configuration! Do you want to see this solution – built on top of Azure API Management, Container Apps, Azure AI Services and the Power Platform – in action? Then join this session and enjoy the ride!

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Code of Conduct for local live streams

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A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.