Latest Articles


Ka Ling Wu
Jul 15, 2026
OpenAI Data Agent: What They Built and What It Means for Your Team
The lessons from OpenAI's in-house data agent: why context made it work, and how the same ideas can scale to your own data team.
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Ka Ling Wu
Jul 21, 2026
Hex Context Studio vs Upsolve Agent Studio: A Side-by-Side Comparison
Choosing between Hex Context Studio and Upsolve Agent Studio? Learn how they differ on context depth, workflow, and customer-facing use.
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Ka Ling Wu
Jul 20, 2026
Cube Semantic Layer: Deep Dive Into the Agentic Analytics Pioneer
Cube nails the Meaning layer but leaves the Trust layer to you. Learn what it does well, and the upfront modeling work it asks of you.
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Ka Ling Wu
Jul 15, 2026
Databricks Semantic Layer: Unity Catalog and Beyond
How the Databricks semantic layer works with Unity Catalog, and what your data team should know before agents come to depend on it.
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Ka Ling Wu
Jul 18, 2026
Snowflake Semantic Layer: What Data Teams Need to Know
What the Snowflake semantic layer handles, how it models meaning, and where agents still need more context it does not provide.
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Ka Ling Wu
Jul 17, 2026
AI Reporting Tools: From PDFs to Agent-Generated Insights
A scheduled report is stale before you open it. How AI reporting tools surface insights the moment a decision calls for them.
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