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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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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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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 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
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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PwC customer contact transformation powered by Amazon Connect.
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AWS & Red Hat
Simplify App Modernization and Innovation with Red Hat OpenShift Service on AWS
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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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Why enterprise AI stalls between pilot and production
Most enterprise AI programs stall between pilot and production. Closing the operationalization gap requires trusted data, built-in governance and open interoperability.
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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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Converged architecture is enterprise AI's missing foundation
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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
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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Get Started
How to develop an enterprise data strategy: 12 key steps
Here are 12 to-do items for data leaders developing a data strategy to help their organization use data more effectively for analytics and business decision-making.
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Vendor Resources
- From Intent to Intelligence –White Paper
- Data Management for Security Teams –eBook
- AI Security Starts Here –eBook
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News
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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.
Search Data Management Definitions
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