# Metadata

Published articles for Metadata.

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## Precisely launches unified AI data platform and AI Studio library of agents and apps

DevFeed: [Precisely launches unified AI data platform and AI Studio library of agents and apps](<https://devfeed.tech/articles/precisely-launches-unified-ai-data-platform-and-ai-studio-library-of-agents-and-apps-65505.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/06/precisely-launches-unified-ai-data-platform-and-ai-studio-library-of-agents-and-apps/>)

Author: Duncan Riley

Published: 2026-10-06T13:00:29Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [AI-Ready Data](<https://devfeed.tech/topics/ai-ready-data.md>), [AI Integration Strategies](<https://devfeed.tech/topics/ai-integration-strategies.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [big-data](<https://devfeed.tech/tags/big-data.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [claude](<https://devfeed.tech/tags/claude.md>), [data](<https://devfeed.tech/tags/data.md>), [data-enrichment](<https://devfeed.tech/tags/data-enrichment.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [data-management](<https://devfeed.tech/tags/data-management.md>), [data-quality](<https://devfeed.tech/tags/data-quality.md>), [developers](<https://devfeed.tech/tags/developers.md>), [gio](<https://devfeed.tech/tags/gio.md>), [international-data-corp](<https://devfeed.tech/tags/international-data-corp.md>), [jimmy-duchesne](<https://devfeed.tech/tags/jimmy-duchesne.md>), [korem](<https://devfeed.tech/tags/korem.md>), [launches](<https://devfeed.tech/tags/launches.md>), [location-intelligence](<https://devfeed.tech/tags/location-intelligence.md>), [mainframe](<https://devfeed.tech/tags/mainframe.md>), [master-data-management](<https://devfeed.tech/tags/master-data-management.md>), [matt-waxman](<https://devfeed.tech/tags/matt-waxman.md>), [metadata](<https://devfeed.tech/tags/metadata.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [microsoft-copilot](<https://devfeed.tech/tags/microsoft-copilot.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [news](<https://devfeed.tech/tags/news.md>), [precisely](<https://devfeed.tech/tags/precisely.md>), [precisely-ai-studio](<https://devfeed.tech/tags/precisely-ai-studio.md>), [precisely-platform](<https://devfeed.tech/tags/precisely-platform.md>), [precisely-software](<https://devfeed.tech/tags/precisely-software.md>), [sap](<https://devfeed.tech/tags/sap.md>), [stewart-bond](<https://devfeed.tech/tags/stewart-bond.md>), [syncsort](<https://devfeed.tech/tags/syncsort.md>), [the-latest](<https://devfeed.tech/tags/the-latest.md>)

### AI overview

Precisely introduced a unified platform that prepares enterprise data for AI, with data management tools operating across cloud and legacy systems through a shared metadata and semantic layer. Its AI Studio library offers developers ready-made agents and apps, and new Model Context Protocol servers connect the platform to assistants including Claude, Microsoft Copilot and ChatGPT. The platform is in preview, while AI Studio is available now.

### Source excerpt

Data management software company Precisely Software Inc. today introduced the Precisely Platform, a unified system designed to make enterprise data ready for artificial intelligence. Developers also get Precisely AI Studio, a library of ready-made AI agents and apps. Precisely is pitching the platform as an answer to the "patchwork of point solutions" enterprises use to manage [...] The post Precisely launches unified AI data platform and AI Studio library of agents and apps appeared first on SiliconANGLE.

## NetApp's Novus tackles metadata bottlenecks in AI data infrastructure

DevFeed: [NetApp's Novus tackles metadata bottlenecks in AI data infrastructure](<https://devfeed.tech/articles/netapp-s-novus-tackles-metadata-bottlenecks-in-ai-data-infrastructure-65247.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/05/netapps-novus-targets-ai-data-infrastructure-zettabyte-scale-netappinsight/>)

Author: Sloane Kali Faye

Published: 2026-10-05T22:58:23Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Data Infrastructure](<https://devfeed.tech/topics/data-infrastructure.md>), [Big data infrastructure](<https://devfeed.tech/topics/big-data-infrastructure.md>), [data-processing](<https://devfeed.tech/topics/data-processing.md>), [data centers](<https://devfeed.tech/topics/data-centers.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-data-engine](<https://devfeed.tech/tags/ai-data-engine.md>), [ai-data-infrastructure](<https://devfeed.tech/tags/ai-data-infrastructure.md>), [christophe-bertrand](<https://devfeed.tech/tags/christophe-bertrand.md>), [clusters](<https://devfeed.tech/tags/clusters.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [cube-event-coverage](<https://devfeed.tech/tags/cube-event-coverage.md>), [data](<https://devfeed.tech/tags/data.md>), [enterprise-storage](<https://devfeed.tech/tags/enterprise-storage.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [gpu-clusters](<https://devfeed.tech/tags/gpu-clusters.md>), [gunna-marripudi](<https://devfeed.tech/tags/gunna-marripudi.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [linux](<https://devfeed.tech/tags/linux.md>), [metadata](<https://devfeed.tech/tags/metadata.md>), [nasdaq-ntap](<https://devfeed.tech/tags/nasdaq-ntap.md>), [netapp-inc](<https://devfeed.tech/tags/netapp-inc.md>), [netapp-insight](<https://devfeed.tech/tags/netapp-insight.md>), [netapp-insight-2026](<https://devfeed.tech/tags/netapp-insight-2026.md>), [netapp-novus-data](<https://devfeed.tech/tags/netapp-novus-data.md>), [netapp-s-ai-data-engine](<https://devfeed.tech/tags/netapp-s-ai-data-engine.md>), [netappinsight](<https://devfeed.tech/tags/netappinsight.md>), [news](<https://devfeed.tech/tags/news.md>), [novus-data-director](<https://devfeed.tech/tags/novus-data-director.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [ontap](<https://devfeed.tech/tags/ontap.md>), [parallel-file-systems](<https://devfeed.tech/tags/parallel-file-systems.md>), [peak-aio](<https://devfeed.tech/tags/peak-aio.md>), [pnfs](<https://devfeed.tech/tags/pnfs.md>), [production](<https://devfeed.tech/tags/production.md>), [production-ai](<https://devfeed.tech/tags/production-ai.md>), [rebecca-knight](<https://devfeed.tech/tags/rebecca-knight.md>), [storage](<https://devfeed.tech/tags/storage.md>), [syam-nair](<https://devfeed.tech/tags/syam-nair.md>), [thecube](<https://devfeed.tech/tags/thecube.md>)

### AI overview

NetApp presents Novus as an AI data infrastructure architecture designed to reduce metadata bottlenecks while scaling GPU workloads and making enterprise data accessible to AI models and agents. Its Data Director separates metadata from stored data, enabling independent scaling and a unified view across ONTAP clusters. NetApp says its AI Data Engine can discover, classify and vectorize enterprise data, while planned pNFS technology is intended to work alongside existing systems.

### Source excerpt

AI data infrastructure must support growing GPU clusters while making enterprise data usable for models and agents. NetApp Inc. is tying intelligent data infrastructure to production AI through a unified approach to storage and data management. Fragmented data and governance designed around manually applied policies can prevent enterprises from realizing returns on AI investments, according [...] The post NetApp's Novus tackles metadata bottlenecks in AI data infrastructure appeared first on SiliconANGLE.

## NetApp and Nvidia rethink storage for AI factories

DevFeed: [NetApp and Nvidia rethink storage for AI factories](<https://devfeed.tech/articles/netapp-and-nvidia-rethink-storage-for-ai-factories-63646.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/01/netapp-targets-ai-factory-storage-architecture-netappinsight/>)

Author: Chad Wilson

Published: 2026-10-01T18:46:42Z

Content type: news

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [data-architecture](<https://devfeed.tech/topics/data-architecture.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [sharding](<https://devfeed.tech/topics/sharding.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factories](<https://devfeed.tech/tags/ai-factories.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-ready-data](<https://devfeed.tech/tags/ai-ready-data.md>), [ai-ready-enterprise](<https://devfeed.tech/tags/ai-ready-enterprise.md>), [api](<https://devfeed.tech/tags/api.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [arindam-banerjee](<https://devfeed.tech/tags/arindam-banerjee.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-control-plane](<https://devfeed.tech/tags/autonomous-control-plane.md>), [cloud-integration](<https://devfeed.tech/tags/cloud-integration.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [control-plane](<https://devfeed.tech/tags/control-plane.md>), [cube-event-coverage](<https://devfeed.tech/tags/cube-event-coverage.md>), [cyber-resilience](<https://devfeed.tech/tags/cyber-resilience.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [data-management](<https://devfeed.tech/tags/data-management.md>), [data-mobility](<https://devfeed.tech/tags/data-mobility.md>), [data-movement](<https://devfeed.tech/tags/data-movement.md>), [data-protection](<https://devfeed.tech/tags/data-protection.md>), [data-resilience](<https://devfeed.tech/tags/data-resilience.md>), [enterprise-storage](<https://devfeed.tech/tags/enterprise-storage.md>), [hybrid-cloud](<https://devfeed.tech/tags/hybrid-cloud.md>), [infrastructure-modernization](<https://devfeed.tech/tags/infrastructure-modernization.md>), [intelligent-automation](<https://devfeed.tech/tags/intelligent-automation.md>), [jason-hardy](<https://devfeed.tech/tags/jason-hardy.md>), [metadata](<https://devfeed.tech/tags/metadata.md>), [multicloud](<https://devfeed.tech/tags/multicloud.md>), [netapp](<https://devfeed.tech/tags/netapp.md>), [netapp-insight-2026](<https://devfeed.tech/tags/netapp-insight-2026.md>), [netappinsight](<https://devfeed.tech/tags/netappinsight.md>), [news](<https://devfeed.tech/tags/news.md>), [novus](<https://devfeed.tech/tags/novus.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [storage](<https://devfeed.tech/tags/storage.md>), [thecube](<https://devfeed.tech/tags/thecube.md>)

### AI overview

NetApp and Nvidia are developing storage architecture for AI factories that separates data and metadata functions so they can scale independently. The article describes how this is intended to reduce competition between transactional metadata requests and large data transfers, keep GPUs supplied, and handle concurrent access from AI agents. It also discusses API- and SDK-based access for AI teams that are not storage specialists.

### Source excerpt

Storage architecture is being rewritten for artificial intelligence factories. Traditional enterprise storage was designed around workloads that scaled in relatively predictable ways. AI changes that equation by combining heavy data movement with transactional metadata activity, often on shared infrastructure. NetApp Inc. is addressing that pressure through its work with Nvidia Corp., a partnership that dates [...] The post NetApp and Nvidia rethink storage for AI factories appeared first on SiliconANGLE.