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Data teams are essential in AI-driven organizations, focusing on data governance, operations, and product development to enhance data reliability and accessibility. The rise of generative AI has transformed how business decisions are made, allowing users to interact with data through prompts and large language models. As organizations increasingly adopt generative AI tools, data teams must provide robust data services to support these initiatives.
Key strategies for data teams include prioritizing data security, improving data quality, and establishing data marketplaces. By centralizing data access and empowering citizen data scientists, organizations can foster a culture of data-driven decision-making. The future of work hinges on data teams evolving from gatekeepers to enablers, ensuring that data is accessible and impactful across all departments.
• 72% of respondents use generative AI weekly for business decisions.
• 75% of organizations increased tech investments for data lifecycle management.
Generative AI refers to algorithms that can generate new content or insights from existing data, significantly impacting business decision-making.
Data governance involves managing data availability, usability, integrity, and security, ensuring that data is reliable for decision-making.
A data marketplace is a platform that allows users to discover, access, and share data, facilitating self-service data and AI programs.
SAP provides data and analytics solutions that help organizations manage and govern their data effectively.
IBM's data fabric technology simplifies data access and enables real-time analytics, empowering citizen data scientists.
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