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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture Andrew Jones

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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture Andrew Jones - okladka książki

Data Quality in the Age of AI. Building a foundation for AI strategy and data culture Andrew Jones - okladka książki

Autor:
Andrew Jones
Serie wydawnicze:
Expert Insight
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
50
Dostępne formaty:
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     ePub

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As organizations worldwide seek to revamp their data strategies to leverage AI advancements and benefit from newfound capabilities, data quality emerges as the cornerstone for success. Without high-quality data, even the most advanced AI models falter. Enter Data Quality in the Age of AI, a detailed report that illuminates the crucial role of data quality in shaping effective data strategies.
Packed with actionable insights, this report highlights the critical role of data quality in your overall data strategy. It equips teams and organizations with the knowledge and tools to thrive in the evolving AI landscape, serving as a roadmap for harnessing the power of data quality, enabling them to unlock their data's full potential, leading to improved performance, reduced costs, increased revenue, and informed strategic decisions.

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O autorze książki

Andrew Jones is a principal engineer at GoCardless, one of Europe’s leading Fintech's. He has over 15 years experience in the industry, with the first half primarily as a software engineer, before he moved into the data infrastructure and data engineering space. Joining GoCardless as its first data engineer, he led his team to build their data platform from scratch. After initially following a typical data architecture and getting frustrated with facing the same old challenges he’d faced for years, he started thinking there must be a better way, which led to him coining and defining the ideas around data contracts. Andrew is a regular speaker and writer, and he is passionate about helping organizations get maximum value from data.

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