"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Unlocking Enterprise Data with Knowledge Graphs and AI, with Juan Sequeda, Principal Scientist and Head of AI Lab at data.world

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Jan 18, 2024
In this discussion, Juan Sequeda, Principal Scientist and Head of AI Lab at data.world, delves into the transformative power of knowledge graphs for enterprise data management. He explains how these graphs serve as a foundational 'brain' for AI, enhancing data accessibility and governance. Juan highlights the integration of AI with data architectures and the importance of clear semantics. He also addresses the challenges of managing unstructured data and the vital role of organizational trust in successful data solutions.
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ANECDOTE

Query Approach and Knowledge Embedding

  • Juan Sequeda illustrates the "query approach" where direct database access leads to complex, knowledge-embedded queries.
  • He questions the transparency and reliability of these queries for critical business decisions.
ADVICE

Bridging the Producer-Consumer Gap

  • Recognize the producer-consumer gap in data, where technical teams may not fully grasp business context.
  • Bridge this gap with knowledge engineers who understand both sides, improving data product quality.
ADVICE

Connecting Data Work to Business Value

  • Repeatedly ask "why" to connect data work with business value, aligning with corporate objectives.
  • Use the "iron thread" approach, starting small and expanding, to understand data flow and identify struggles.
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