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Why agentic AI demands both structured and unstructured data
Agentic AI must access both structured and unstructured data to reason effectively. Converging these data types is the defining operational challenge for enterprise AI in 2026.
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Alation automates governance with latest AI-powered suite
Outcome-based governance, including the newly launched Curation Automation, turns time-consuming data management tasks over to agents and could be a differentiator for the vendor.
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Teradata updates vector indexing suite to aid AI development
New capabilities including hybrid search and support for multi-modal embeddings are aimed at helping users access the data needed by agents and other cutting-edge applications.
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Key requirements for data and analytics governance platforms
Successful governance platforms require business and IT alignment, user-friendly design and scalable architecture to tie governance to measurable outcomes.
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Data science and analytics Evaluate
10 predictive analytics platforms for enterprises in 2026
The leading products have evolved into autonomous ecosystems that use AI agents and natural language to accommodate users at every skill level and accelerate decision-making.
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Operational resilience is a benchmark for executive success
Operational resilience is emerging as an executive benchmark as regulations, board scrutiny and compliance mandates drive the need for measurable KPIs and accountability.
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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
Why agentic AI demands both structured and unstructured data
Agentic AI must access both structured and unstructured data to reason effectively. Converging these data types is the defining operational challenge for enterprise AI in 2026.
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Data Integration News
Alation automates governance with latest AI-powered suite
Outcome-based governance, including the newly launched Curation Automation, turns time-consuming data management tasks over to agents and could be a differentiator for the vendor.
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Data Governance Manage
Build trust on a federated governance model
Follow this practical blueprint to adopt a modern data governance approach that aligns people, processes and platform to deliver measurable results from AI across the business.
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Why agentic AI demands both structured and unstructured data
Agentic AI must access both structured and unstructured data to reason effectively. Converging these data types is the defining operational challenge for enterprise AI in 2026.
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Key requirements for data and analytics governance platforms
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15 top data catalog software tools to consider using in 2026
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How executives can build a responsible AI framework
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Problem Solve
AI data governance guidance that gets you to the finish line
As organizations dive into AI adoption, many realize the first real bottleneck is not the model but how to prepare their information so it can be used effectively in AI workflows.
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How to cut data loss risks when employees leave
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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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Manage
Build trust on a federated governance model
Follow this practical blueprint to adopt a modern data governance approach that aligns people, processes and platform to deliver measurable results from AI across the business.
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Data governance responsibilities now belong in the C-suite
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Operational resilience is a benchmark for executive success
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Experts share practices to overcome AI data readiness
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Data Management/Data Warehousing Basics
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Get Started
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.
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How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage.
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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.
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- The Asset Evolution –eGuide
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Data integration
Alation automates governance with latest AI-powered suite
Outcome-based governance, including the newly launched Curation Automation, turns time-consuming data management tasks over to agents and could be a differentiator for the vendor.
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Data integration
Teradata updates vector indexing suite to aid AI development
New capabilities including hybrid search and support for multi-modal embeddings are aimed at helping users access the data needed by agents and other cutting-edge applications.
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Data management strategies
CData targets development success with Connect AI update
The vendor's latest launch takes a three-pronged approach toward helping users move pilots into production and could be a competitive differentiator if it delivers on its promise.
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