---
id: "action-deploy-genai-unstructured-data"
type: "action-item"
source_timestamps: ["§ 4. Data management"]
tags: ["generative-ai", "data-strategy"]
related: ["concept-unstructured-data-utilization", "prereq-meticulous-data-management", "entity-panasonic-energy-north-america"]
action: "Use Generative AI to process unstructured text data (like maintenance logs) into real-time insights for front-line workers."
outcome: "Reduced machine downtime, greater throughput, and rapid onboarding of new technicians."
source_url: "https://hbr.org/2025/01/what-companies-succeeding-with-ai-do-differently"
source_title: "What Companies Succeeding with AI Do Differently"
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-cl-89-companies-succeeding-with-ai"
sourceUrl: "https://hbr.org/2025/01/what-companies-succeeding-with-ai-do-differently"
sourceTitle: "What Companies Succeeding with AI Do Differently"
---
# Deploy GenAI for Unstructured Data

**Action:** Use Generative AI platforms to process vast amounts of **unstructured text** — historical maintenance tickets, repair manuals, expert notes — and build **real-time assistants** for front-line workers.

**Expected outcome:** Reduced machine **downtime**, greater throughput, and rapid **onboarding** of new technicians — see [[entity-panasonic-energy-north-america]] (Palantir AIP, 1M tickets).

Operationalizes [[concept-unstructured-data-utilization]]; **prerequisite:** [[prereq-meticulous-data-management]] (capture the data first). Implements pillar #4 of [[framework-four-pillars-of-ai-success]].


## Related across articles
- [[concept-unstructured-data-provenance]]
- [[action-track-provenance]]
