Business users and non-technical professionals often need to quickly analyse or transform tabular data in spreadsheets for ad hoc business intelligence. However, they might lack the necessary programming knowledge to do so themselves and therefore must reach out to a data analyst. Such unexpected delays have the potential to incur huge opportunity costs for time-sensitive business decisions which… more

This BoF session talks about building low-code data assistant for business using code LLMs. Generative AI (LLMs) for codes had become very popular and powerful tool for developers to leverage with rise of enterprise solution like GitHub Copilot, AWS Code Whisperers, Google Duet etc along with numerous open source code assist models for generating codes for hundreds of programming languages includ… more

Abstract This talk will take the audience through our experience from building a content generation solution for data catalog enrichment effort from modeling perspective (RAG based pre-trained model & RAG based FineTuned model). more

Existing Retrieval Augmented Generation (RAG) based Q&A systems could only process textual information and are unable to answer from infographics (visual elements of information) such as tables, charts, images etc. in documents limiting the value and productivity. more

Problem Statement Most of the documents include infographics (visual elements of information) such as tables, charts, images etc. often used to convey complex information to readers. Multi-modal LLMs are powerful tools that can be used for question answering on such complex documents. However, there are two challenges which limits the productivity and value add: more