Understanding when to fine-tune LLMs versus when to invest in context engineering through semantic layers and RAG, and why the most successful enterprise AI strategies use both approaches strategically.
Explore why context is critical for GenAI analytics to deliver trustworthy business insights and how organizations must act now to standardize business context before democratized AI creates fragmentation and risk.
An in-depth analysis of the semantic layer explosion in the data and AI ecosystem, exploring why vendors are racing to build semantic layers and why most fall short of enterprise needs.
GenAI assistants like ChatGPT and co-pilots like Databricks Genie are useful, but without enterprise context, they guess. Here's why the next frontier of AI is context-grounded, business-fluent intelligence.
Learn how to integrate Codd AI with the Model Context Protocol (MCP) to bring governed, context-aware analytics directly into your favorite AI chat environments like Claude, Cursor, or Windsurf.
Assess your organization's readiness for conversational analytics across five key dimensions. Learn what foundation you need before deploying NLP analytics to empower your teams with data-driven insights.
Discover how contextual analytics bridges the gap between AI and business meaning, enabling trusted insights through contextual semantic layers that understand your business world.
Learn how Codd AI's Slack integration brings governed, contextual analytics directly into your team's conversations, powered by your organization's semantic intelligence.
Discover how business data products and contextual semantic layers work together to create trusted, contextualized analytics that humans and machines can both understand
Discover how conversational analytics powered by contextual semantic layers delivers measurable ROI by democratizing data access and accelerating insights
Discover how contextual semantic layers extend traditional semantic layers by embedding business meaning and domain knowledge to enable trustworthy AI analytics
Create, execute, and manage Snowflake Semantic Views directly from Codd AI platform - no manual mapping, no SQL rewrites, just one-click publishing from your enriched corpus
Why traditional data literacy training is failing and how conversational analytics shifts literacy from tool mastery to business context fluency
Turn raw data and business knowledge into instant, trusted insights. Codd AI bridges data, business rules, and AI into one trusted foundation.
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.