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See the most recent Vendor articles below.


The Hidden Cost of Poor Training Data in Generative AI

Poor training data does not just hurt model accuracy. It triggers a costly chain reaction. This article shows data leaders exactly where the money bleeds and what to do about it.

The Governance Anchor: Ensuring Data Integrity During Cloud ERP Migrations

To ensure your migration drives actual business value, here are four best practices for integrating data governance into your migration process.

New TDWI Research Report Provides Guidance for Gaining Value from Agentic and Generative AI

Report explores the capabilities that distinguish enterprises that are successful with generative and agentic AI.

When BI Becomes Operational: Designing BI Architectures for High-Concurrency Analytics

Are your BI systems ready to support modern operations? Use this advice to prepare to handle large-scale workloads.

Agentic BI Is Still Not Ready for Enterprise Prime Time

The limitations of LLM-powered analysis tools mean we should be cautious in trusting them.

Self-Healing and Intelligent Data Delivery at Scale (Part 2 of 2)

A useful template for a self-healing data system consists of five core layers, explained here.

Self-Healing and Intelligent Data Delivery at Scale (Part 1 of 2)

Traditional data pipelines break down when scale matters, but self-healing data systems preserve data quality despite growing complexity.

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