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Converged architecture is enterprise AI's missing foundation
Fragmented AI infrastructure fails in production. Converged data architecture with unified governance offers the path to reliable, scalable enterprise AI.
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Data governance regulations that executives should know
Growing national and international regulatory compliance demands aim to protect consumer data. Organizations must adhere to regulations or face noncompliance risks.
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Snowflake broadens open-source embrace, ups Iceberg support
To make data more interoperable across systems and usable for AI, the vendor is participating in projects that address data quality, integration, governance and discovery.
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Data governance for AI requires a cross-functional approach
AI systems create risks that span data, security and model integrity. A cross-functional governance model distributes ownership without creating silos.
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Build a data literacy program to fit company needs
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The database is the new battleground for enterprise AI
Agentic AI puts new pressure on enterprise databases, exposing gaps in the data access, security enforcement and tooling fragmentation that block production deployment.
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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 Evaluate
Converged architecture is enterprise AI's missing foundation
Fragmented AI infrastructure fails in production. Converged data architecture with unified governance offers the path to reliable, scalable enterprise AI.
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Data Integration News
Snowflake broadens open-source embrace, ups Iceberg support
To make data more interoperable across systems and usable for AI, the vendor is participating in projects that address data quality, integration, governance and discovery.
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Data Governance Get Started
Data governance regulations that executives should know
Growing national and international regulatory compliance demands aim to protect consumer data. Organizations must adhere to regulations or face noncompliance risks.
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Evaluate
Converged architecture is enterprise AI's missing foundation
Fragmented AI infrastructure fails in production. Converged data architecture with unified governance offers the path to reliable, scalable enterprise AI.
-
Data governance for AI requires a cross-functional approach
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AI, analytics push data-in-use protection up priority list
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Why enterprise AI initiatives fail without governance
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Problem Solve
Data domain ownership, data mesh chart path to AI-ready data
That AI initiative won't get off the ground without timely, reliable data. Bringing technology and team practices into sync reduces delays and boosts data readiness.
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SLM vs. LLM: Rightsize data architecture to optimize AI use
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AI data governance guidance that gets you to the finish line
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How to cut data loss risks when employees leave
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Manage
Q&A: The gap between AI ambitions and data readiness
Ataccama CEO Mike McKee discusses why most organizations aren't ready for AI, why ROI failures are largely a people problem and what the data management industry keeps overlooking.
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Data lineage documentation matters for enterprise reliability
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Build trust on a federated governance model
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Why agentic AI demands both structured and unstructured data
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Data Management/Data Warehousing Basics
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Get Started
Data governance regulations that executives should know
Growing national and international regulatory compliance demands aim to protect consumer data. Organizations must adhere to regulations or face noncompliance risks.
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Get Started
How big data collection works: Process, methods, challenges
Before big data can be used in analytics and AI applications, data teams must collect it from various sources. Here's how to create and manage an effective collection process.
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Understanding the layers of the AI‑ready modern data stack
Data infrastructure and practices need an upgrade for the AI era. A modern data stack takes a layered approach that aligns teams and delivers governed, trusted data.
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Data integration
Snowflake broadens open-source embrace, ups Iceberg support
To make data more interoperable across systems and usable for AI, the vendor is participating in projects that address data quality, integration, governance and discovery.
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Data management strategies
Redpanda launches streaming engine optimized for AI
By integrating workload types, the vendor is simplifying data streams for AI while also differentiating itself from its closest competitors.
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Data management strategies
Oracle AI Database update aims to ease developing agents
New vector indexing capabilities and prebuilt agents are designed to simplify building cutting-edge applications and could help differentiate the tech giant from competitors.
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