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Data sovereignty expands beyond compliance boundaries
Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for jurisdictional risk, resilience and recovery.
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Understanding data contracts for AI projects
AI models fail silently when upstream data shifts. Data contracts prevent this by making schema, semantics and quality a binding agreement between producers and consumers.
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Power-constrained data architecture curbing AI ambitions
Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload placement and resilience planning.
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Top 10 vector database use cases across industries
Vector databases have become the standard infrastructure for enterprise AI work. These 10 use cases for vector databases show where the technology delivers practical value.
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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 Evaluate
Tracing data lineage in AI systems
Data lineage records how data moves through AI pipelines, turning model debugging, impact analysis and audits into queries rather than manual investigations.
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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 Manage
Data sovereignty expands beyond compliance boundaries
Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for jurisdictional risk, resilience and recovery.
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Dell Technologies Partner Dell Tech Advantage
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Artificial Intelligence
NeuraFlash & Amazon Connect
Amazon Connect has made its mark. The pace of innovation is unprecedented and, as a result, customers are evaluating Amazon Connect more than ever before. No matter where you are on your contact center journey, NeuraFlash has the expertise to enhance your experience with Amazon Connect.
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Data Management
Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
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Tracing data lineage in AI systems
Data lineage records how data moves through AI pipelines, turning model debugging, impact analysis and audits into queries rather than manual investigations.
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Understanding data contracts for AI projects
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Data governance metrics: Measure success, identify issues
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Build a data governance team that delivers results
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Problem Solve
Data sovereignty expands beyond compliance boundaries
Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for jurisdictional risk, resilience and recovery.
-
Power-constrained data architecture curbing AI ambitions
-
Govern citizen development to avoid data pipeline downtime
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The data ownership blind spots putting organizations at risk
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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
Power-constrained data architecture curbing AI ambitions
Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload placement and resilience planning.
-
Get Started
Top 10 vector database use cases across industries
Vector databases have become the standard infrastructure for enterprise AI work. These 10 use cases for vector databases show where the technology delivers practical value.
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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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Vendor Resources
- Software Escrow Solutions to Support Financial Regulations –White Paper
- Data Management for Security Teams –eBook
- From Intent to Intelligence –White Paper
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Data management strategies
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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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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