Augmenting NLQ with language knowledge bases like web search for ChatGPT

The rise of warehouses like Snowflake and CDPs like Segment broke down data silos, joining your CRM to your marketing automation, support tickets, and more. This connected view of your business enabled more accurate and actionable insights in traditional BI. However, data silos are still just part of your business, the part that can be represented as structured tabular data — things that can be neatly categorized and measured. What about the silos with your tribal and institutional knowledge — conversations in Slack, requirements in Jira, and planning docs in Notion? LLMs enabled a new set of tools like Glean to break down these knowledge silos of unstructured language with a robust method to interpret language algorithmically, without a human. But that still leaves us with 2 distinct silos in your business, one of tabular data and another of linguistic knowledge. Just like how breaking down data silos gave us our first step change in complete insights into our customers and busines ... Read full article.