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DataFunTalk
DataFunTalk
Apr 19, 2026 · Industry Insights

From ChatBI to DataAgent: Turning AI Demos into Trusted Enterprise Decision Engines

The live discussion breaks down the practical challenges of building enterprise‑grade Data Agents—from unified semantic layers and prompt engineering versus model fine‑tuning, to table discovery, multi‑turn memory, trust, cost control, and continuous improvement—showing why real‑world AI success hinges on system reliability rather than raw model power.

AIData AgentEnterprise AI
0 likes · 17 min read
From ChatBI to DataAgent: Turning AI Demos into Trusted Enterprise Decision Engines
DataFunTalk
DataFunTalk
Apr 15, 2026 · Industry Insights

From ChatBI to DataAgent: How Enterprise AI Moves from Demo to Trusted Production

A live discussion with data platform leaders reveals that the real challenge of AI‑driven data agents lies not in model strength but in building a stable, explainable semantic layer, managing prompt versus fine‑tuning trade‑offs, ensuring trustworthy multi‑turn conversations, and aligning cost with business value for production deployment.

Cost managementData AgentEnterprise AI
0 likes · 18 min read
From ChatBI to DataAgent: How Enterprise AI Moves from Demo to Trusted Production