In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Dr. Shweta Shah, a seasoned data and AI architect with a fresh perspective on how we think about quality in the age of unstructured data and GenAI. Shweta introduces “Content Quality Management” (CQM), a new framework designed to help organizations prepare unstructured content for trustworthy, auditable, AI-powered outcomes.

Together, they explore:

• Why traditional data quality frameworks fall short in GenAI systems.

• The seven dimensions of content quality.

• Why unstructured data needs more than structure to be AI-ready.

• The role of team diversity and ethical design in building AI that works for everyone.

• How CQM could evolve into a new standard—or even a product—for enterprise AI readiness.

🎧 Tune in for a timely conversation that reframes unstructured data not as a challenge, but as an opportunity to rethink what “quality” really means in modern data work.

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