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  6. [Data] Survey on the Actual Use of AI by Companies 2026 [Digest Version]

[Data] Survey on the Actual Use of AI by Companies 2026 [Digest Version]

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last updated:Oct 29, 2026

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Break through the barriers of AI utilization with survey data! A roadmap for operations that leads to results.

This document is a white paper that clarifies the actual state of AI utilization in the BtoB sector based on survey data, providing essential know-how to achieve AI utilization that leads to results. Currently, the shortage of AI talent is seen as a bottleneck, but the real challenge lies in the transition from the implementation phase to the operational phase (establishment and improvement). While rule development is progressing, the assurance of data quality and reliability has not kept pace, revealing a structure where improvement cycles do not operate due to the inability to measure ROI and outcomes. This document explains the importance of an AI-ready data infrastructure and how to visualize your company's current position using frameworks such as FAIR Assessment and FAIR Index. [Contents] ■ The actual state of AI utilization in the BtoB sector ■ The real barriers to promoting AI ■ The importance of an AI-ready data infrastructure *For more details, please download the PDF or feel free to contact us.

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[Data] Survey on the Actual Use of AI by Companies 2026 [Digest Version]

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【Survey Overview】 ■Target: Company employees working for companies with more than 1,000 employees ■Method: Internet survey ■Timing: March 2026 ■Sample size: 426 people ■Industry composition: Manufacturing (50.2%), IT and Software (15.5%), Construction and Infrastructure (12.2%), Finance and Insurance (7.5%), Others (14.6%) *For more details, please download the PDF or feel free to contact us.

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[Data] Survey on the Actual Utilization of AI by Companies 2026 [Digest Version]

[Data] Survey on the Actual Utilization of AI by Companies 2026 [Digest Version]

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Generative AI Struggles with Technical Documents—Reasons for Stumbling on Drawings and Reports, and How to Start Small on AI-Readiness Without Waiting for Major Overhauls [Presentation Materials]

Generative AI Struggles with Technical Documents—Reasons for Stumbling on Drawings and Reports, and How to Start Small on AI-Readiness Without Waiting for Major Overhauls [Presentation Materials]

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Our company develops and provides solutions utilizing data and artificial intelligence, and offers consulting related to data and product development. We provide a data utilization platform called "Conata," which transforms siloed, personalized, and unstructured data that companies face into a format that is easier for AI to handle. We aspire to be a "flywheel" that accelerates the proactive use of data and artificial intelligence by businesses and individuals, enhancing the efficiency of work and tasks.

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