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Why GenAI Fails Without Clean Data

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Manage episode 493174292 series 2936583
Content provided by Mark Smith [nz365guy]. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Smith [nz365guy] or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/705

What if the biggest barrier to AI success isn’t the model—but your data? In this episode, Sedarius Tekara Perrotta, CEO of Shelf, reveals why unstructured data is sabotaging enterprise AI efforts and how to fix it. From SharePoint chaos to hallucinating copilots, Sedarius shares a practical framework for transforming messy data into clean, actionable fuel for generative AI. If you're a business or tech leader navigating AI adoption, this conversation is your roadmap to clarity, control, and competitive edge.
🔑 KEY TAKEAWAYS
Unstructured data is the silent killer of AI accuracy. Most organizations have millions of files riddled with micro-errors that confuse AI models and lead to hallucinations.
A successful AI strategy starts with a data strategy. Clean, enriched, and refined data is essential before plugging into any AI system.
Use the “Reduce, Enhance, Refine” framework. Focus on a specific use case, eliminate irrelevant data, enrich with metadata, and refine to a trusted set of documents.
Automation is key—but not enough. Human oversight and iterative monitoring are still critical to ensure AI outputs remain accurate and relevant.
AI agents will transform job roles incrementally. Expect gradual automation of tasks, with agents augmenting—not replacing—human expertise.
🧰 RESOURCES MENTIONED
👉 Shelf – AI-powered unstructured data management platform: https://www.shelf.io
👉 Microsoft Copilot Studio – Customizable AI interface for enterprise use: https://learn.microsoft.com/en-us/power-platform/copilot-studio
👉 Gartner Research – Identified poor data quality as the #1 barrier to scaling GenAI - Read the full Gartner press release

This year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world.

Accelerate your Microsoft career with the 90 Day Mentoring Challenge
We’ve helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.

Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!

Support the show

If you want to get in touch with me, you can message me here on Linkedin.
Thanks for listening 🚀 - Mark Smith

  continue reading

Chapters

1. Welcome & Global Adventures (00:00:00)

2. From Peace Corps to Knowledge Management (00:04:43)

3. The AI Data Dilemma (00:10:28)

4. Building a Real Data Strategy (00:16:53)

5. Automating Trustworthy AI Answers (00:24:33)

6. The Future of AI Agents in 2025 (00:33:13)

704 episodes

Artwork
iconShare
 
Manage episode 493174292 series 2936583
Content provided by Mark Smith [nz365guy]. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Smith [nz365guy] or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

🎙️ FULL SHOW NOTES
https://www.microsoftinnovationpodcast.com/705

What if the biggest barrier to AI success isn’t the model—but your data? In this episode, Sedarius Tekara Perrotta, CEO of Shelf, reveals why unstructured data is sabotaging enterprise AI efforts and how to fix it. From SharePoint chaos to hallucinating copilots, Sedarius shares a practical framework for transforming messy data into clean, actionable fuel for generative AI. If you're a business or tech leader navigating AI adoption, this conversation is your roadmap to clarity, control, and competitive edge.
🔑 KEY TAKEAWAYS
Unstructured data is the silent killer of AI accuracy. Most organizations have millions of files riddled with micro-errors that confuse AI models and lead to hallucinations.
A successful AI strategy starts with a data strategy. Clean, enriched, and refined data is essential before plugging into any AI system.
Use the “Reduce, Enhance, Refine” framework. Focus on a specific use case, eliminate irrelevant data, enrich with metadata, and refine to a trusted set of documents.
Automation is key—but not enough. Human oversight and iterative monitoring are still critical to ensure AI outputs remain accurate and relevant.
AI agents will transform job roles incrementally. Expect gradual automation of tasks, with agents augmenting—not replacing—human expertise.
🧰 RESOURCES MENTIONED
👉 Shelf – AI-powered unstructured data management platform: https://www.shelf.io
👉 Microsoft Copilot Studio – Customizable AI interface for enterprise use: https://learn.microsoft.com/en-us/power-platform/copilot-studio
👉 Gartner Research – Identified poor data quality as the #1 barrier to scaling GenAI - Read the full Gartner press release

This year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world.

Accelerate your Microsoft career with the 90 Day Mentoring Challenge
We’ve helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.

Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!

Support the show

If you want to get in touch with me, you can message me here on Linkedin.
Thanks for listening 🚀 - Mark Smith

  continue reading

Chapters

1. Welcome & Global Adventures (00:00:00)

2. From Peace Corps to Knowledge Management (00:04:43)

3. The AI Data Dilemma (00:10:28)

4. Building a Real Data Strategy (00:16:53)

5. Automating Trustworthy AI Answers (00:24:33)

6. The Future of AI Agents in 2025 (00:33:13)

704 episodes

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