Blog Tags: Data Observability
The Data Leader’s Guide to Responsible AI: Why Strong Data Governance Is Key to Mitigating AI Risks
AI has moved from science fiction to everyday reality, but its success hinges on strong data governance. In this blog, we explore why effective governance is crucial for AI, how data leaders can build effective data governance for AI, and practical steps for aligning data governance with AI initiatives, ensuring transparency, mitigating risks, and driving better outcomes.
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What is Data Observability Used For?
Learn how Data Observability can enhance your business by detecting crucial data anomalies early. Explore its applications in improving data quality and model reliability, and discover Tiger Analytics’ solution. Understand why this technology is attracting major investments and how it can enhance your operational efficiency and reduce costs.
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Enabling Cross Platform Data Observability in Lakehouse Environment
Dive into data observability and its pivotal role in enterprise data ecosystems. Explore its implementation in a Lakehouse environment using Azure Databricks and Purview, and discover how this integration fosters seamless data management, enriched data lineage, and quality monitoring, empowering informed decision-making and optimized data utilization.
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