See me talking to Custom GPT in voice mode. At the backend, it is talking to Azure Data Warehouse (MySQL). ... and analyzing profile of campaign responders ..
... am inserting conditional fields, asking questions about data, creating distributions based on calculated fields, and generating charts.
Not in the video, but I have also carried out a bunch of other tasks in voice mode: creating summary tables, merging summary tables back with modeling datasets, appending tables, dropping tables, etc.
𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀
Senior Leadership Voice Dashboards / Adhoc query support / Quick Queries & Charts / Rapid data transformations / Intelligent IVR / Employee queries ... numerous applications ..
This is Part-2 of my series on connecting to and analyzing data on live data warehouses on AWS & Azure via Custom GPT and LLM Apps.
Link to Part-1
[DW Series -Part 01] 𝗔𝗻𝗮𝗹𝘆𝘇𝗲 𝗟𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 | 𝗔𝗪𝗦–𝗔𝘇𝘂𝗿𝗲 𝗗𝗪 | 𝘃𝗶𝗮 𝗖𝘂𝘀𝘁𝗼𝗺 𝗚𝗣𝗧 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝘀
Part-01: Lighthearted Introduction.
𝗨𝗣𝗖𝗢𝗠𝗜𝗡𝗚 𝗘𝗣𝗜𝗦𝗢𝗗𝗘𝗦 : 𝗖𝗢𝗠𝗜𝗡𝗚 𝗡𝗘𝗫𝗧
𝗚𝗣𝗧-𝗟𝗟𝗠 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗗𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗩𝗶𝗱𝗲𝗼𝘀
Data transformations, analysis, charts, table operations, inter-warehouse operations, operating on large data sets, ML model build.....and limitations, caveats & constraints
𝗛𝗼𝘄-𝗧𝗼 𝗚𝘂𝗶𝗱𝗲𝘀
With Codes / Schemas / GitHub Repos
Connecting to data warehouses, deploying FastAPI Server, GPT action schemas, deploying on external LLM Apps, security issues, LLM cost & options, prototype warehouse setup on AWS & Azure.
👉 𝗪𝗶𝘁𝗵 𝘀𝗽𝗲𝗰𝗶𝗮𝗹 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝗚𝗣𝗧𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗮𝗹𝗹 𝘁𝗵𝗶𝘀 𝗱𝗼𝗻𝗲 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆