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Alation intros AI governance suite to ensure compliance
As enterprises launch agents and other cutting-edge applications into production, remaining compliant with evolving regulations is challenging.
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MongoDB adds new vector, performance capabilities to aid AI
With enterprise data workloads feeding AI pipelines, the longtime database vendor is evolving -- along with competitors -- by building capabilities for cutting-edge development.
Evaluate
Data governance metrics: Measure success, identify issues
Implementing a data governance program isn't enough. Data leaders also need to track and analyze various metrics to evaluate its effectiveness and address shortcomings.
Manage
Govern citizen development to avoid data pipeline downtime
Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably.
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Data science and analytics News
New Tableau leader talks vendor's evolution in era of AI
With longtime data and analytics providers pivoting to find their role within AI workflows, Mark Recher takes over during a time of transition for the vendor.
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Database Management News
Actian targets secure, compliant AI with new vector database
The vendor's portable database enables organizations in heavily regulated industries to build AI tools without risking accidental data exposure or regulatory violations.
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Data Warehousing News
Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
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Data Management Strategies News
MongoDB adds new vector, performance capabilities to aid AI
With enterprise data workloads feeding AI pipelines, the longtime database vendor is evolving -- along with competitors -- by building capabilities for cutting-edge development.
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Data Integration Manage
Govern citizen development to avoid data pipeline downtime
Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably.
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Data Governance Evaluate
Data governance metrics: Measure success, identify issues
Implementing a data governance program isn't enough. Data leaders also need to track and analyze various metrics to evaluate its effectiveness and address shortcomings.
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Storage Buying Considerations 2026
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Data governance metrics: Measure success, identify issues
Implementing a data governance program isn't enough. Data leaders also need to track and analyze various metrics to evaluate its effectiveness and address shortcomings.
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Build a data governance team that delivers results
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Why enterprise AI stalls between pilot and production
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Reconsider the AI readiness gap in data and analytics
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Problem Solve
Govern citizen development to avoid data pipeline downtime
Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably.
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The data ownership blind spots putting organizations at risk
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AI, analytics push data-in-use protection up priority list
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Data domain ownership, data mesh chart path to AI-ready data
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How agentic AI governance tackles data, security challenges
AI agents promise real gains -- and pose real risks. Enterprises that move fast without first tightening governance controls might struggle to prevent rogue behavior.
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How to develop a data governance strategy: 7 key steps
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Controlling data sprawl requires governance discipline
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6 key components of a successful data strategy
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Data Management/Data Warehousing Basics
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Get Started
Build a data governance team that delivers results
Regulations, AI and jumbled implementation oversight weaken decision-making. A dedicated team can help bring structure, accountability and consistent outcomes.
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Get Started
How agentic AI governance tackles data, security challenges
AI agents promise real gains -- and pose real risks. Enterprises that move fast without first tightening governance controls might struggle to prevent rogue behavior.
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Get Started
How to develop a data governance strategy: 7 key steps
A strong data governance strategy enables more effective data use and helps prevent financial, legal and reputational problems. Follow these steps to develop one.
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- Data Management for Security Teams –eBook
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- AI Security Starts Here –eBook
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Data management strategies
MongoDB adds new vector, performance capabilities to aid AI
With enterprise data workloads feeding AI pipelines, the longtime database vendor is evolving -- along with competitors -- by building capabilities for cutting-edge development.
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Data management strategies
Teradata's latest targets putting agentic AI into production
As many enterprises prepare to move past experimenting with agents, the vendor's new platform is purpose-built to help users move pilots into production.
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Data management strategies
SAP acquisitions of Dremio, Prior Labs target AI development
The tech giant's latest purchases add a data lakehouse that enables users to access data across systems and tabular foundation models that fuel predictive AI.
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