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Zilliz ups vector search results with Milvus database update
Native access to data lakes and a new data retrieval engine highlight the latest release as the vendor competes for market share amid a crowded field.
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AI data fabric emerges as a governance layer for agents
The latest take on data fabric architecture promises to help AI agents coexist with existing platforms, but there's some assembly required.
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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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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 News
Zilliz ups vector search results with Milvus database update
Native access to data lakes and a new data retrieval engine highlight the latest release as the vendor competes for market share amid a crowded field.
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Data Governance Evaluate
AI data fabric emerges as a governance layer for agents
The latest take on data fabric architecture promises to help AI agents coexist with existing platforms, but there's some assembly required.
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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Artificial Intelligence
NeuraFlash & Amazon Connect
Amazon Connect has made its mark. The pace of innovation is unprecedented and, as a result, customers are evaluating Amazon Connect more than ever before. No matter where you are on your contact center journey, NeuraFlash has the expertise to enhance your experience with Amazon Connect.
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Storage Buying Considerations 2026
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AI data fabric emerges as a governance layer for agents
The latest take on data fabric architecture promises to help AI agents coexist with existing platforms, but there's some assembly required.
-
Data ontologies are foundational for usable AI outputs
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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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Problem Solve
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.
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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 integration
Zilliz ups vector search results with Milvus database update
Native access to data lakes and a new data retrieval engine highlight the latest release as the vendor competes for market share amid a crowded field.
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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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