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How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
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Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost trust and improve decision-making.
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Regatta Data launches unified base for AI with RegattaDB
The database vendor is entering a crowded market with the launch of a database purpose-built for agents by unifying disparate data workloads.
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How governance as code controls AI agent risk
As more stringent EU AI Act requirements take effect, enterprises need runtime guardrails that control autonomous agents' actions, govern data access and preserve audit evidence.
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Data science and analytics News
Qlik launches data engineering tools to aid AI development
New capabilities, such as data quality agents and a feature that makes data products more reusable, support engineers to help organizations more easily achieve their AI goals.
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Database Management News
Couchbase evolution continues with new data layer for AI
New capabilities including Agent Memory and extension to edge devices help the vendor compete for market share as it grows beyond its database roots.
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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
How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
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Data Integration Get Started
Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost trust and improve decision-making.
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Data Governance Manage
How governance as code controls AI agent risk
As more stringent EU AI Act requirements take effect, enterprises need runtime guardrails that control autonomous agents' actions, govern data access and preserve audit evidence.
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Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost trust and improve decision-making.
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What a leadership transition reveals about your data strategy
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Unstructured data is the bottleneck for agentic AI success
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Why Apache Iceberg is the center of attention in data platforms
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How governance as code controls AI agent risk
As more stringent EU AI Act requirements take effect, enterprises need runtime guardrails that control autonomous agents' actions, govern data access and preserve audit evidence.
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AI agents push enterprises toward unified data governance
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8 data integration challenges and how to overcome them
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Data observability for AI helps curb poor model performance
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How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
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How to use AI to enforce data governance policies
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AI agent failures offer hidden value for enterprises
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Big data integration techniques and best practices to adopt
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Data Management/Data Warehousing Basics
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Get Started
How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
-
Get Started
Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost trust and improve decision-making.
-
Get Started
How to use AI to enforce data governance policies
AI models and agents can automate data governance policy enforcement for proactive governance in dynamic data environments. But don't forget the human element.
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Data management strategies
Regatta Data launches unified base for AI with RegattaDB
The database vendor is entering a crowded market with the launch of a database purpose-built for agents by unifying disparate data workloads.
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Data management strategies
Alation launches OS for building, governing AI agents
While not the first AI governance suite, the vendor's Intelligence Operating System is somewhat unique by unifying data, context and agents in one environment.
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Database management
Couchbase evolution continues with new data layer for AI
New capabilities including Agent Memory and extension to edge devices help the vendor compete for market share as it grows beyond its database roots.
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