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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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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.
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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 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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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.
Sponsored Sites
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Information Management
PwC customer contact transformation powered by Amazon Connect.
Solving complex service challenges with the right blend of people, process and technology – enabling organisations to move beyond outdated contact centre models and embrace scalable, agile solutions that meet today’s demands.
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Intelligent Agreement Management
Accelerate revenue, reduce risk and unlock value
Over 1.6 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate business processes and simplify lives. Using the Docusign IAM platform, companies can create, commit to, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
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Virtual Machines
AWS & Red Hat
Simplify App Modernization and Innovation with Red Hat OpenShift Service on AWS
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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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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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Manage
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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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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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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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.
-
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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