Building contexts for structured data used in AI / GPT tasks is something I've seen little written about, but is obviously quite important. Confluent calls it

Building contexts for structured data used in AI / GPT tasks is something I've seen little written about, but is obviously quite important. Confluent calls it a "customer 360" problem [1] and I don't disagree. We (Estuary) also wrote up a post showing an approach for Slack => ChatGPT => Google Sheets [2], and have more content coming for Salesforce, HubSpot, and some others. [1] https://www.confluent.io/blog/chatgpt-and-streaming-data-for-real-time-generative-ai/#constructing-customer-360 https://www.confluent.io/blog/chatgpt-and-streaming-data-for... [2] https://estuary.dev/gpt-real-time-pipeline/ https://estuary.dev/gpt-real-time-pipeline/