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HalliburtonLinkedIn

Halliburton VP discusses moving from data collection to data-powered execution in drilling operations.

Source

LinkedInAug 12, 2026
likes
169
comments
7

Post

How do we move from data collection to data-powered execution? That question was at the center of a recent panel discussion featuring Ankush Bhalla, Halliburton VP of Indonesia at the SPE/IADC Asia Pacific Drilling Technology Conference and Exhibition. Drawing on lessons learned from a recent deepwater exploration project in Indonesia, the discussion highlighted: ✔ Turning real-time data into more informed decisions ✔ Connecting workflows for planning, drilling, and execution ✔ Applying automation and AI to improve consistency ✔ Building trust, talent, and collaboration to accelerate operations Learn how we help operators build more connected and intelligent drilling operations: https://lnkd.in/gdrYRJZk

linkedin.com/posts/halliburton_how-do-we-move-from-data-collection-to...Read the full source

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Signal
LinkedIn

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Topics and mentions

Tags

  • Data Management
  • Automation
  • Artificial Intelligence
  • Operations
  • Corporate Strategy

Initiatives

  • turning real-time data into informed decisions
  • connecting workflows for planning
  • drilling
  • and execution
  • applying automation and AI to improve consistency
  • connecting workflows for planning, drilling, and execution
  • building trust, talent, and collaboration to accelerate operations

Technologies named

  • AI

Extraction

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

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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/5e6f14ae-692c-4fae-b6f5-64631e96866d returns this record as JSON. POST /v1/companies/enrich returns every signal for halliburton.com.

{
  "signal_id": "5e6f14ae-692c-4fae-b6f5-64631e96866d",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-08-13T15:58:08.486+00:00",
  "company": {
    "name": "Halliburton",
    "domain": "halliburton.com"
  },
  "data": {
    "tags": [
      "Data Management",
      "Automation",
      "Artificial Intelligence",
      "Operations",
      "Corporate Strategy"
    ],
    "summary": "Halliburton VP discusses moving from data collection to data-powered execution in drilling operations.",
    "post_url": "https://www.linkedin.com/posts/halliburton_how-do-we-move-from-data-collection-to-data-powered-activity-7493281148828045312-zBtf",
    "num_likes": 169,
    "post_text": "How do we move from data collection to data-powered execution?\n\nThat question was at the center of a recent panel discussion featuring Ankush Bhalla, Halliburton VP of Indonesia at the SPE/IADC Asia Pacific Drilling Technology Conference and Exhibition.\n\nDrawing on lessons learned from a recent deepwater exploration project in Indonesia, the discussion highlighted:\n\n✔ Turning real-time data into more informed decisions\n✔ Connecting workflows for planning, drilling, and execution\n✔ Applying automation and AI to improve consistency \n✔ Building trust, talent, and collaboration to accelerate operations\n\nLearn how we help operators build more connected and intelligent drilling operations: https://lnkd.in/gdrYRJZk",
    "initiatives": [
      {
        "topic": "turning real-time data into informed decisions",
        "urgency": 0.6
      },
      {
        "topic": "connecting workflows for planning, drilling, and execution",
        "urgency": 0.6
      },
      {
        "topic": "applying automation and AI to improve consistency",
        "urgency": 0.6
      },
      {
        "topic": "building trust, talent, and collaboration to accelerate operations",
        "urgency": 0.6
      }
    ],
    "posted_date": "2026-08-12T12:24:04.312Z",
    "num_comments": 7,
    "technologies_mentioned": [
      {
        "name": "AI",
        "status": "using"
      }
    ]
  }
}

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