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SeagateLinkedIn

Seagate SVP Melyssa Banda discusses context as a key differentiator for scaling AI.

Source

LinkedInAug 11, 2026
likes
60
comments
0

Post

​As organizations scale AI, the conversation is shifting beyond models and token costs. The real differentiator may be something far more valuable: context. In her latest blog, Seagate SVP Melyssa Banda explores why accumulated knowledge, institutional memory, and accessible data are becoming critical drivers of AI performance and business value. As organizations evaluate AI investments based on outcomes, preserving the right information may matter just as much as creating it. Read more: https://lnkd.in/gArfNmwj

linkedin.com/posts/seagate-technology_as-organizations-scale-ai-the-c...Read the full source

Extracted by Autobound

From the Signal API record
Signal
LinkedIn

What this signalsCompany posts often show what the team is pushing right now.

The full record

From the Signal API record

Topics and mentions

Tags

  • Artificial Intelligence
  • Data Management
  • Corporate Strategy

Initiatives

  • preserving institutional knowledge for AI

Technologies named

  • AI

Extraction

Detected
Aug 13, 2026
signal_type
linkedin-post-company
signal_subtype
linkedinPost

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The API returns more than this page shows

This page shows a preview. The full linkedin-post-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/91791ebc-131a-4d37-b4d5-f5b329a49ac9 returns this record as JSON. POST /v1/companies/enrich returns every signal for seagate.com.

{
  "signal_id": "91791ebc-131a-4d37-b4d5-f5b329a49ac9",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-08-13T13:40:26.793+00:00",
  "company": {
    "name": "Seagate",
    "domain": "seagate.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Data Management",
      "Corporate Strategy"
    ],
    "summary": "Seagate SVP Melyssa Banda discusses context as a key differentiator for scaling AI.",
    "post_url": "https://www.linkedin.com/posts/seagate-technology_as-organizations-scale-ai-the-conversation-activity-7492944165605920768-9OwM",
    "num_likes": 60,
    "post_text": "​As organizations scale AI, the conversation is shifting beyond models and token costs. The real differentiator may be something far more valuable: context.\n\nIn her latest blog, Seagate SVP Melyssa Banda explores why accumulated knowledge, institutional memory, and accessible data are becoming critical drivers of AI performance and business value. As organizations evaluate AI investments based on outcomes, preserving the right information may matter just as much as creating it.\n\nRead more: https://lnkd.in/gArfNmwj",
    "initiatives": [
      {
        "topic": "preserving institutional knowledge for AI",
        "urgency": 0.5
      }
    ],
    "posted_date": "2026-08-11T14:05:01.251Z",
    "num_comments": 0,
    "technologies_mentioned": [
      {
        "name": "AI",
        "status": "using"
      }
    ]
  }
}

Long text fields are shortened on this page.

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