Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
Cloud & Infrastructure
Google Cloud Blog·Jun 30·5 min read
Conversational analytics in BigQuery brings trusted agentic reasoning to everyone
TL;DR
Businesses often struggle with slow decision-making due to a backlog of data requests. Google Cloud has introduced Conversational Analytics in BigQuery, allowing users to query data and generate reports using natural language.
✦ Why It Matters
Engineers can leverage Conversational Analytics to streamline data querying and enhance decision-making processes in their organizations.
Key Takeaways
- Utilize natural language queries to simplify data access.
- Create specialized agents for tailored insights from your data.
- Integrate data from multiple sources to enhance analysis.
- Implement security measures to ensure data governance.
How It Works
Conversational Analytics uses AI to interpret natural language queries, generating SQL commands that retrieve relevant data. It leverages existing data embeddings to match user questions with the correct data, ensuring accurate responses grounded in the user's business context.