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Struggling with “Garbage In, Garbage Out” in your AI projects?

In this must-listen episode of SaugaTalks, host Irene sits down with Dr. Prashant Southekal, a leading data expert, to uncover the secrets behind achieving superior data quality — the real key to unlocking AI and analytics success.

Discover how poor data quality leads to flawed insights and learn practical, actionable strategies to fix it once and for all.

🔍 Key Highlights:

• What is Garbage In, Garbage Out (GIGO) in AI? (0:00) – How data chaos disrupts analytics.
• The 4 Pillars of Data Quality (5:45)
  • Senior Management Support (6:30): Why leadership buy-in drives data excellence.
  • Right Technology & Processes (10:15): Building a solid foundation for data integrity.
  • Governance (14:20): Ensuring accuracy, security, and compliance.
  • Data Literacy (18:45): Empowering teams to make smarter data-driven decisions.
• Customer-Centric Data Strategy (25:10): Prashant’s top advice — “No customer, no business, no AI!”
• Actionable Insights on Stakeholder Engagement & Training (28:30): Transform your organization from data chaos to clarity.

Whether you’re a data scientist, business leader, or AI enthusiast, this episode is packed with insights on improving data quality, mastering analytics best practices, and building a customer-first data culture.

Say goodbye to GIGO chaos — and hello to reliable, high-impact results!

🎧 Listen now and level up your data game!
💬 What’s your biggest challenge with data quality in AI? Drop a comment — let’s discuss!

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