Accelerating AI use cases demands strong data governance and many organizations struggle to manage complex, growing data volumes effectively. This session explores essential strategies for building a solid data governance foundation. Learn how organizations are overcoming common data governance obstacles, like data silos and inconsistent rules, to achieve measurable gains in data quality and efficiency. Through real-world examples, discover how unified data platforms can simplify data discovery, classification, and policy enforcement, leading to faster, data-driven decisions and reduced risk.
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Thomas Remy
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Thomas Remy, Managing Director for Data Analytics & AI at Google Cloud, has over 20 years of experience leading teams and businesses in the technology market. He has a proven record of success in leading data analytics and AI initiatives and a deep understanding of the business challenges and opportunities in the digital age. His responsibilities include developing and executing a strategic vision for Data Analytics & AI in EMEA, building and leading a high-performing team, partnering with customers to deliver innovative solutions, and driving growth and profitability.
Bio from: gartner-data-analytics-uk-2025
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