The road to AI begins with trusted data products

97% of data leaders face challenges using the data effectively. The reason? A lack of trust. And now, generative AI is making this problem worse.

Governed semantic layer: The missing piece in data & AI

Learn why the semantic layer is often overlooked and why it’s so crucial for businesses looking to scale AI and analytics effectively.

Blazing the trail to AI with data model governance

Explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers and much more.

Scaling dbt: Balancing self-serve analytics and central governance

Expert panelists share best practices for scaling dbt to handle transformations and metrics without stifling analyst freedom or causing team burnout.

The Tableau Wild Wild West

The push for data governance is not just nice-to-have. It’s a necessity for trustworthy insights. This becomes very apparent when using Tableau.

Data teams can’t follow GenAI blindly

GenAI is transforming the landscape of automated data analysis and SQL query optimization. But what about data modeling and governance?