#83 Who’s Minding the Metadata? Why Data Quality Matters in GenAI (Quality Time With Paolo)

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Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society.

Dive into conversations that should flow as smoothly as your morning coffee (but don't), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's get into the heart of data, unplugged style!

In this episode, host Murilo is joined by returning guest Paolo, Data Management Team Lead at dataroots, for a deep dive into the often-overlooked but rapidly evolving domain of unstructured data quality. Tune in for a field guide to navigating documents, images, and embeddings without losing your sanity.

What we unpack:

• Data management basics: Metadata, ownership, and why Excel isn’t everything.
• Structured vs unstructured data: How the wild west of PDFs, images, and audio is redefining quality.
• Data quality challenges for LLMs: From apples and pears to rogue chatbots with “legally binding” hallucinations.
• Practical checks for document hygiene: Versioning, ownership, embedding similarity, and tagging strategies.
• Retrieval-Augmented Generation (RAG): When ChatGPT meets your HR policies and things get weird.
• Monitoring and governance: Building systems that flag rot before your chatbot gives out 2017 vacation rules.
• Tooling and gaps: Where open source is doing well—and where we’re still duct-taping workflows.
• Real-world inspirations: A look at how QuantumBlack (McKinsey) is tackling similar issues with their AI for DQ framework.

Chương

1. #83 Who’s Minding the Metadata? Why Data Quality Matters in GenAI (Quality Time With Paolo) (00:00:00)

2. Welcome to Data Topics (00:00:46)

3. Introducing Data Management (00:01:30)

4. Unstructured vs Structured Data (00:06:30)

5. RAG and Chatbot Applications (00:09:38)

6. Data Quality Issues in Documents (00:17:15)

7. Metadata Checks and Content Analysis (00:25:05)

8. Testing Outputs and Monitoring (00:34:18)

9. Governance and Available Tools (00:42:52)

10. Summary and Additional Resources (00:48:09)