Your Data Warehouse Is Not Your Business Context Layer
Centralizing data in Snowflake, Databricks, or BigQuery doesn't mean AI understands your business. Why AI needs a governed business context layer on top.
Ravindra Punuru
Founder & CEO, Codd AI
Ravindra Punuru is the Founder & CEO of Codd AI, where he is building a context-aware analytics platform that helps enterprises transform complex data into governed, business-ready insights. Previously, Ravindra co-founded Diyotta, a data integration platform that was acquired by ThoughtSpot, where he gained deep experience scaling enterprise data products. With a strong focus on semantic modeling, AI-driven analytics, and governance, he is passionate about bridging the gap between technical data systems and business decision-making.
Ravindra Punuru on LinkedInArticles by Ravindra Punuru (12)
Your Analytics Team Is Already Drawing a Knowledge Graph on a Whiteboard
When knowledge graphs earn a place in your AI stack, when they don't, and seven analytics questions that tell you which. A plain-English guide, no RDF required.
What Ontology Actually Means for Analytics
Why the data industry argues about the wrong thing, and a practical ontology for analytics: a middle path between BI semantic layers and formal OWL ontologies.
Context Is King: Reflections from the Gartner Data & Analytics Summit 2026
Takeaways from the Gartner Data & Analytics Summit 2026: context is king, ROI means Return on Intelligence, and contextual semantic layers take center stage.
Actions: From Insight to Execution - Automating the Last Mile of Analytics
Codd AI Actions turn analytical workflows into automated pipelines with scheduling, conditional logic, human approvals, and multi-channel notifications.
Playbooks: Operationalizing Business-Fluent AI
Codd AI Playbooks turn your governed semantic layer into repeatable, auditable, automation-ready workflows, so leaders can depend on AI-driven analytics.
Integrate Codd AI with MCP: Your Data, Metrics, and Knowledge in Any AI Chat
Connect Codd AI through the Model Context Protocol (MCP) to bring governed, context-aware analytics into AI chat tools like Claude, Cursor, and Windsurf.
Bring Codd AI into Slack: Unlock Agentic Analytics in Team Conversations
Codd AI's Slack integration brings governed, contextual analytics into your team's conversations, powered by your organization's own semantic layer.
Turn Codd AI Metrics into Snowflake Semantic Views in One Click
Create, run, and manage Snowflake Semantic Views directly from Codd AI. No manual mapping and no SQL rewrites, just one-click publishing of governed metrics.
Integrating Codd Semantic Layer with Tableau: Overcoming Multi-Fact Challenges Using a Hub Table Approach
How we solved Tableau's unrelated-table and multi-fact limitations with a simple hub table pattern, using the Codd AI semantic layer as the governed source.
Deploying Codd on Snowpark Container Services: Bringing SaaS and Data Together
How Codd AI combines global SaaS orchestration with Snowflake-native execution on Snowpark Container Services to deliver AI analytics without moving data.
Codd AI Is Officially Live: The Journey Behind the Launch
Codd AI is live. The story behind the launch, and how our AI-powered semantic layer bridges raw data and meaningful, explainable insights for business users.