{"id":599,"date":"2022-03-04T16:38:42","date_gmt":"2022-03-04T15:38:42","guid":{"rendered":"http:\/\/aqigmbh.de\/big-data-datenanalyse"},"modified":"2026-03-30T11:07:32","modified_gmt":"2026-03-30T09:07:32","slug":"big-data-analysis","status":"publish","type":"page","link":"https:\/\/aqigmbh.de\/en\/topics\/big-data-analysis","title":{"rendered":"Big Data – Analysis"},"content":{"rendered":"
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Big Data - Data Analysis<\/h1>\n
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Intelligent, AI-based linking and analysis of supply chain data can generate valuable information for quality management.<\/p>\n<\/blockquote>\n

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Vehicles are highly complex products that are developed and produced over a long supply chain. With each logistics step in the supply chain, the amount of data about the product, the production process and the delivery increases. The data volumes very quickly reach such a size that they can only be meaningfully evaluated using statistical methods and AI-based analyses.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

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Intelligent, AI-powered quality platform.<\/h2>\n

The AQI has identified this problem as a focal point for itself for years and has already developed a\u00a0quality platform that offers numerous functionalities with the help of artificial intelligence (AI),\u00a0such as:<\/p>\n<\/div>\n<\/div><\/div><\/div>

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Intelligent data analysis<\/h4> <\/div>\n <\/div>\n <\/div>
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Pattern recognition of faults<\/h4> <\/div>\n <\/div>\n <\/div>
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Tracing of production information<\/h4> <\/div>\n <\/div>\n <\/div>
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Prediction of production failures<\/h4> <\/div>\n <\/div>\n <\/div><\/div><\/div><\/div><\/div>
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The quality platform makes it possible to identify and analyze the causes of errors in data in a quality-assured manner - both within and across companies.<\/p>\n

Click here:: https:\/\/q-miner.ai\/<\/a><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

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Intelligent Data Integration and Analysis<\/h2>\n

After many years of experience in the field of 'Intelligent Data Integration and Analysis\u2019, the AQI has developed Q-miner, a branch-neutral platform for combining the evaluation of quality data. The Q-miner platform enables quality-assured identification and analysis of failures causes in data \u2013 both within and across companies.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

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Use of AI in testing processes<\/h2>\n

AI algorithms have a wide range of applications and enable solutions that would be difficult to implement using traditional approaches. In addition to the use of AI algorithms directly in products, AI algorithms can also be used to improve quality processes in companies. The current project aims to evaluate how AI algorithms can be used in testing processes in the automotive industry.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div>

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Exploration of application scenarios for the intelligent processing of quality data<\/h2>\n

The project investigates the use of AI models for structured and unstructured data in order to assess their added value for quality tasks. Suitable use cases and roles are identified and aspects for successful implementation are considered.<\/p>\n

Demovideo: Click here!<\/a><\/p>\n

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Analysis of the Potential of Technologies for AI-Supported Management of Quality Requirements<\/b><\/h2>\n

The use of artificial intelligence\u2014particularly large language models (LLMs) or AI agents\u2014offers significant potential for increasing efficiency and improving quality in requirements management. Through automated analysis, structuring, and prioritization, redundant or contradictory specifications can be reliably identified, harmonized, and documented in a traceable manner.<\/p>\n

The goal of the project is a systematic analysis of the potential of suitable AI technologies\u2014with a focus on identifying those areas of requirements management for products and production processes where the use of AI achieves the greatest added value.<\/p>\n

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Do you have any questions? Contact us!<\/p> <\/div>\n

\n Contact<\/a>\n <\/div>\n <\/div> <\/div> <\/div><\/div><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

Big Data – Data Analysis Intelligent, AI-based linking and analysis of supply chain data can generate valuable information for quality management.   Vehicles are highly complex products that are developed and produced over a long supply chain. With each logistics step in the supply chain, the amount of data about the product, the production process […]<\/p>\n","protected":false},"author":1,"featured_media":761,"parent":650,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-599","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/pages\/599","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/comments?post=599"}],"version-history":[{"count":37,"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/pages\/599\/revisions"}],"predecessor-version":[{"id":1622,"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/pages\/599\/revisions\/1622"}],"up":[{"embeddable":true,"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/pages\/650"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/media\/761"}],"wp:attachment":[{"href":"https:\/\/aqigmbh.de\/en\/wp-json\/wp\/v2\/media?parent=599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}