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Modern CTO

Why Data Quality is Crucial in the Age of AI with Adam Dille and Zeba Hasan

Feb 3, 2025
Join Adam Dille from Quantum Metric, an expert in data optimization and AI, and Zeba Hasan from Google, a whiz in BigQuery and cloud data solutions. They dive into why data quality is essential for successful AI integration, warning against common pitfalls like misleading outputs. The duo discusses enhancing customer support through data context and the vital role of human collaboration in AI initiatives. They also touch on the necessity of understanding data maturity to maximize AI capabilities while keeping traditional coding principles in mind.
40:13

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Quick takeaways

  • Data quality has evolved into a strategic asset essential for business success, directly impacting customer experiences and decision-making.
  • Successful AI initiatives rely on a solid data foundation, necessitating structured governance and clear problem definition to ensure accurate outcomes.

Deep dives

Partnership and Evolution of Data Utilization

The collaboration between Quantum Metric and Google began nearly a decade ago during a search for new technology solutions, notably Google BigQuery, for transitioning from traditional databases. Initially utilized primarily as a research tool, the two companies rapidly expanded their engagement with Google Cloud, leading to a meaningful partnership that continues to enable product teams at Google to explore and develop use cases for data optimization. This partnership has provided Quantum Metric with invaluable resources, including access to product managers and critical information, which have fostered significant company growth. The evolution of their working relationship exemplifies the effective utilization and understanding of cloud technology in transforming business operations.

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