
NLP vs BI: The Future of Business Insights Isn't Either/Or
Exploring why the future of analytics needs both conversational NLP interfaces and traditional BI dashboards, united by an intelligent semantic layer
Exploring why the future of analytics needs both conversational NLP interfaces and traditional BI dashboards, united by an intelligent semantic layer
Overcoming multi-fact challenges using a hub table approach - How we solved Tableau's unrelated table limitations with a simple pattern
Explore how conversational AI powered by semantic layers is transforming analytics from static dashboards to dynamic dialogue, democratizing insights across organizations.
Discover why GenAI struggles in analytics without proper business context and how context-aware AI with semantic layers delivers trustworthy, actionable insights.
Explore why enterprise GenAI struggles with business-critical decisions and how a context-aware semantic layer transforms AI from clever assistant to trusted business advisor.
Learn how Codd AI's hybrid architecture combines global SaaS orchestration with Snowflake-native execution through Snowpark Container Services, delivering AI-powered analytics without moving your data.
Piet Loubser joins Codd AI as Co-founder, COO, and GTM leader, bringing decades of analytics experience to help solve GenAI's hallucination problem through intelligent semantic layers.
Discover the difference between KPIs, metrics, and measures. Learn definitions, practical examples, and why they matter in modern analytics. Build smarter dashboards and data strategies with Codd AI.
Codd AI officially launches its GenAI-powered semantic layer, bridging the gap between raw data and reliable, business-ready answers with natural language querying and transparent insights.
Codd AI is now live! Discover how our AI-powered semantic layer bridges the gap between raw data and meaningful insights, making analytics truly intelligent and explainable.
Exploring what a truly modern semantic layer should look like - AI-native, business-aware, and built for how real teams actually work with data.
Explore how the shift from traditional ER modeling to modern data architectures impacts AI success, and why relationship-driven data remains crucial for accurate AI insights.
Discover how semantic layers bridge the gap between raw data and AI-driven insights, ensuring accurate, consistent, and trustworthy business intelligence.