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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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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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Qdrant boosts performance, reliability to meet AI needs
As customers look to move past experimentation and put pilots into production, the vendor's new features better prepare its platform for modern enterprise workloads.
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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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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
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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Data Integration News
Data quality, fast failures and quick wins key to AI success
Despite many organizations struggling to realize value from their development initiatives, best practices can help, according to industry experts at Domo's annual user conference.
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Data Governance 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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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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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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Hybrid search demands reshape retrieval frameworks for AI
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Problem Solve
The data ownership blind spots putting organizations at risk
Organizations can't claim to have good data governance when they still have unowned data. Assigning ownership to siloed and dark data is critical to enterprise success.
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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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SLM vs. LLM: Rightsize data architecture to optimize AI use
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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.
-
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.
-
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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Vendor Resources
- Data Management for Security Teams –eBook
- From Intent to Intelligence –White Paper
- AI Security Starts Here –eBook
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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.
-
Data management strategies
Qdrant boosts performance, reliability to meet AI needs
As customers look to move past experimentation and put pilots into production, the vendor's new features better prepare its platform for modern enterprise workloads.
-
Database management
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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