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Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them.
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How to secure sensitive data when offboarding employees
Establish a multi-phased approach that turns a risky situation into a managed process with several departments working in coordination to ensure a smooth exit.
News
Streaming specialist Redpanda adds governance to AI suite
New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate itself from its closest competitors.
News
The future of AI depends on better data, not bigger models
AI's competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and infrastructure build more reliable, defensible systems.
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Data science and analytics News
ThoughtSpot boosts agentic push with Analyst Studio update
A data prep agent and caching capabilities aimed at helping users control spending help the vendor stand out from its peers as it evolves toward becoming an agentic data platform.
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Database Management News
SurrealDB raises $23M, launches update to fuel agentic AI
Though funding isn't flowing as freely into data management as it once was, the startup is attracting interest by focusing on enabling customers to unify data for AI development.
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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
Streaming specialist Redpanda adds governance to AI suite
New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate itself from its closest competitors.
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Data Integration News
Pentaho update aids data integration, semantic modeling
The vendor's latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted foundation for AI development.
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Data Governance Manage
Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them.
Sponsored Sites
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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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Cloud
Optimize Your Cloud Migration with AWS & Infoblox
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Generative AI
Enhancing Generative AI for Independent Software Vendors (ISVs)
Transform your software and deliver enhanced experiences to your end users when you integrate with the Amazon Q Business index. Access secure, multi-app data through an API to deliver smarter, context-rich experiences to your end users. Join leading providers in revolutionizing applications with composable AI features.
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The future of AI depends on better data, not bigger models
AI's competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and infrastructure build more reliable, defensible systems.
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What executives look for in a data quality platform
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The trust-at-speed paradox: Most data governance wasn't built for AI
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Modern data architectures as a risk management strategy
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Problem Solve
How to cut data loss risks when employees leave
How an employee leaves influences what data they might take. Organizations can implement several practical methods to protect code, client information, and other assets.
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Residual access failures put data at risk
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7 data cleansing best practices
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Manage
Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them.
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How to secure sensitive data when offboarding employees
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Building a strong data analytics platform architecture
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Modernized big data architecture a must for AI to deliver
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Data Management/Data Warehousing Basics
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9 metadata management standards that guide success
Organizations looking to implement metadata management can choose from existing standards that support archiving, sciences, finance and other digital resources.
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Modernized big data architecture a must for AI to deliver
Many enterprises put AI into production in 2025 but found their legacy data stacks stalled progress. See what it takes to modernize big data systems for better AI results.
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Get Started
10 essential roles for a data management team in 2026
These 10 essential data management roles help leaders design teams that support governance, scale and trusted analytics across modern enterprise data environments.
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News
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Data management strategies
Streaming specialist Redpanda adds governance to AI suite
New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate itself from its closest competitors.
-
Data governance
Graphwise aims to boost AI accuracy with GraphRAG launch
With standard RAG pipelines proving unreliable, the vendor's new feature uses knowledge graphs to add needed context to the data retrieval process that fuels AI outputs.
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Database management
SurrealDB raises $23M, launches update to fuel agentic AI
Though funding isn't flowing as freely into data management as it once was, the startup is attracting interest by focusing on enabling customers to unify data for AI development.
Search Data Management Definitions
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