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Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
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.
Manage
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.
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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 Get Started
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
-
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.
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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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10 data governance challenges that can sink data operations
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7 data cleansing best practices
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Manage
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
-
Data and AI governance must team up for AI to succeed
-
How to secure sensitive data when offboarding employees
-
Building a strong data analytics platform architecture
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Data Management/Data Warehousing Basics
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Get Started
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production.
-
Get Started
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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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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