{
  "id": 5138414,
  "title": "Storage leaders target AI’s unstructured data challenge",
  "url": "https://urgent.news/2026/09/02/storage-leaders-target-ais-unstructured-data-challenge",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-02T18:00:00.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/09/02/unstructured-data-hammerspace-cloudian-seagate-supermicro-supermicroopenstoragesummit/"
  },
  "original_language": "en",
  "account": "The increasing reliance on artificial intelligence has made unstructured data, which accounts for over 80% of enterprise data, an invaluable resource. However, the challenge lies in discovering, governing, and moving this data for AI consumption. Several key players in the storage industry are tackling this issue. Molly Presley, chief marketing officer of Hammerspace Inc., emphasized the difficulty in managing unstructured data for AI, stating that it requires more than traditional archive and backup strategies. Ultra-dense hardware platforms, software-defined storage solutions, and ecosystem partner integrations are among the approaches taken by companies like Supermicro to address the management of unstructured data at scale. These hardware solutions, such as Context Memory storage servers, are designed to support the offloading and sharing of large language model key-value caches across AI inference infrastructure. Cloudian, on the other hand, focuses on enterprise-grade, S3-native object storage for managing massive volumes of unstructured data, ensuring it is governed and protected within a robust framework. This includes managing data within a robust governance framework, ensuring it is secure and accessible for AI needs. The process of managing unstructured data for AI also highlights the importance of data preparation, compliance audits, debugging, and understanding AI outputs, as well as determining the most efficient infrastructure for generating results.",
  "summary": "Data has become the fuel for artificial intelligence, and the largest untapped reserve to power AI is unstructured data. Industry estimates cited by theCUBE Research indicate that more than 80% of enterprise data is unstructured, yet this critical pool remains largely inaccessible, unmanaged or underutilized. This data is generally composed of documents, videos, logs, emails, […] The post Storage…",
  "key_points": [
    "Over 80% of enterprise data is unstructured, valuable for AI.",
    "Companies like Hammerspace, Supermicro, and Cloudian address unstructured data challenges.",
    "Solutions include ultra-dense hardware, software-defined storage, and S3-native object storage."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}