Collibra
4 results
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Why AI Governance Cannot Be an Afterthought (Especially for SAP Users)
AI agents are transforming businesses by enhancing functions like customer service and marketing, but without effective governance frameworks, organizations risk security vulnerabilities and compliance issues, making platforms like Collibra essential for ensuring reliable, transparent, and secure AI operations within enterprise ecosystems such as SAP.
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Six Steps to Ensure Data Reliability in the Age of AI
Despite the potential of AI, over half of data professionals distrust their data, leading to flawed strategies and wasted resources, highlighting the critical need for organizations to follow six crucial steps recommended by Collibra to enhance data quality and reliability.
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5 Trends That Will Drive Data Quality in 2025
As businesses increasingly prioritize data-driven strategies, a recent Collibra webinar highlighted five key trends for 2025 aimed at enhancing data quality, including the need for accurate AI analytics, maintaining quality in data products, ensuring audit-ready reporting, addressing data quality during cloud migrations, and implementing holistic governance.
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Building a Business Data Fabric with Reliable Data
As businesses increasingly depend on data, maintaining its quality is crucial to avoid disruptions, poor decisions, and regulatory penalties; thus, adopting automated, machine learning solutions is essential to ensure data reliability and compliance in a complex digital landscape.
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