{"id":25442,"date":"2024-01-23T09:26:07","date_gmt":"2024-01-23T09:26:07","guid":{"rendered":"https:\/\/www.bpa-solutions.net\/?p=25442"},"modified":"2024-01-29T10:24:40","modified_gmt":"2024-01-29T10:24:40","slug":"chatgpt-fur-ihre-internen-eqms-daten","status":"publish","type":"post","link":"https:\/\/www.bpa-solutions.net\/de\/chatgpt-for-your-internal-eqms-data\/","title":{"rendered":"Ank\u00fcndigung von ChatGPT f\u00fcr Ihre internen eQMS-Daten"},"content":{"rendered":"

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BPA proudly announces the release of BPA Pilot, a generative AI-based tool, supporting end users in improving quality of the delivered products and services, boosting efficiency and optimizing costs.\u00a0<\/span><\/p>\n

BPA Pilot is a virtual companion for asking questions and getting informative answers related to your internal eQMS content and\/or external Internet-based data<\/strong>. The tool works like a chatbot and can be used from both the BPA software or from Microsoft Teams. Based on the eQMS modules used and the context, BPA Pilot suggests preconfigured questions guiding end users to solve a non-conformance, implement a root cause analysis, propose corrective actions or content to comply with regulations. Prompting for external data, like ISO or FDA regulations, the BPA Pilot helps populating the eQMS and supports end users to better understand requirements and good practices. Thanks to the BPA Pilot, the eQMS becomes a key venue for employees to find and learn about company processes and regulations, simplifying the onboarding process, and ultimately saving costs.<\/p>\n

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When searching the eQMS, <\/em>Generative AI provides quick access to referenced documents<\/em> and documents sections<\/em><\/p>\n

When coaching end users<\/strong> on important internal procedures, generative AI provides useful content for training documentation and quizzes to test collaborator\u2019s knowledge, ensuring everyone is aware of key roles and responsibilities within the Quality Management System.<\/p>\n

Auditing the eQMS<\/strong> is mandatory to renew ISO certificates and keep your clients on the long term. BPA Pilot allows auditors to produce an audit checklist based on non-conformances and not effective actions for a specific timeframe. The tool can additionally generate a list of questions to comply with specific regulations and chapters. This will drastically save auditors\u2019 time and greatly improve audits\u2019 efficiency.<\/p>\n

Preparing the mandatory management review<\/strong> requires a lot of work, since all quality events need to be collected for a specific timeframe. Generative AI supports quality managers in preparing the management review agenda and report by summarizing quality events with their related actions and effectiveness, hence saving a lot of time and avoiding cumbersome tasks.<\/p>\n

Compliance documents<\/strong> contain company\u2019s guidelines and good practices which are needed to comply with quality regulations. With BPA Pilot get recommendations and receive structured content in accordance with specific ISO clauses and chapters, saving time when creating or reviewing documents. Generative AI additionally facilitates the revision of documents, simplifying therefore document control.<\/p>\n

When a new event is registered in the eQMS, as a non-conformance<\/strong>, BPA Pilot is automatically triggered to alert specified team members in a real-time discussion flow, radically speeding up the decision-making process. An interactive card displays details about the non-conformance providing an option to search for similarities, simplifying the problem-solving process.<\/p>\n

Specific AI models can be additionally prepared based on the type of information or topic. For example, tutorials to guide employees using the BPA software can be indexed in a separate AI model. BPA Pilot provides end users with a central tool to search for internal content by topic and external data, drastically improving efficiency and reducing operational cost.<\/p>\n

AI models<\/strong> like chatGPT \u2013 leveraged by BPA Pilot \u2013 can quickly process large volumes of data and are available 24\/7, ensuring consistent application of rules and standards. Minimizing human mistakes, it greatly improves data quality while reducing operational costs. It can also understand and apply complex regulatory requirements, aiding in being compliant with standards like ISO 9001, ISO 13485, ISO 27001. Advanced AI models can anticipate future trends or issues, enabling risk management and facilitating strategic decision making. AI can also efficiently train staff on QMS procedures, manage document control processes, and provide ongoing support.<\/p>\n

Connect with us for a free product demonstration and explore the limitless capabilities of BPA Solutions!<\/a><\/strong><\/p>\n

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BPA k\u00fcndigt mit Stolz die Ver\u00f6ffentlichung von BPA Pilot an, einem generativen KI-basierten Tool, das Endnutzer dabei unterst\u00fctzt, die Qualit\u00e4t der gelieferten Produkte und Dienstleistungen zu verbessern, die Effizienz zu steigern und die Kosten zu optimieren. <\/p>","protected":false},"author":9,"featured_media":25483,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"ChatGPT has introduced the use of generative AI with a global success. Generative AI operates machine learning to generate content, such as text and images, based on existing data sources. For instance, a user can interact with a generative AI model by asking questions like, \"What can generative AI bring to quality managers?\" The model can then generate a summary text based on its trained data.\r\n\r\n[embed]https:\/\/www.youtube.com\/watch?v=jZGtTK0Z3mQ[\/embed]\r\n\r\nBPA Pilot leverages generative AI to simplify quality management.<\/em>\r\n\r\nThe strategic application of generative AI holds immense promise in the field of quality management, particularly when integrated into an electronic Quality Management System (eQMS). It can rapidly provide quality professionals with targeted information derived from the analysis of both internal and external data sources.\r\n\r\nGenerative AI can generate synthetic data that closely resembles real data. This can be particularly useful when the availability of real data is limited, or when additional data is needed for training AI models or conducting simulations. For example, the generated data could be easily imported in the eQMS software for testing purposes or end user training.\r\n\r\nBy learning from a large dataset, generative AI can identify patterns and normal behavior, making it capable of detecting anomalies and outliers. This can be helpful in quality management by identifying deviations from standard processes or identifying defective products.\r\n\r\nGenerative AI can analyze large amounts of data from equipment sensors and identify signs of potential failures or maintenance requirements. This can help quality managers proactively address issues, reduce downtime, and optimize maintenance schedules. It can further assist quality managers by analyzing data, identifying patterns, and making predictions. This can help identify potential risks and take proactive measures to mitigate them, improving overall product quality and safety.\r\n\r\nWhen included into a cloud-based eQMS, generative AI also facilitates effective communication of recommended actions and helps solving problems by proposing root causes. It represents the next evolution in quality management, offering real-time information and insights for taking strategic decisions quickly.\r\n\r\nPrompting the model to get the right information is not trivial. End users need to know about how to ask the right questions to get informative answers. For this reason, having predefined questions in the eQMS based on data points and context is crucial.\r\n\r\nThe applications of generative AI in quality management are numerous, encompassing areas such as investigations, change management, handling nonconformities and complaints, conducting audits, and managing documents.\r\n\r\nBPA Pilot leverages generative AI to simplify quality management and help quality teams and end users to investigate nonconformities, plan actions and propose content to comply with regulations.\r\n\r\nHere are a few illustrative examples of how this technology can enhance efficiency, accuracy, and reduce risks and costs, ultimately leading to improved quality, safety, and enhanced operational and financial performance.\r\n\r\nA quality manager in a medical device company receives an alert about microbial contamination in a clean room and must ensure compliance with ISO 13485 regulations.\r\n\r\n\"Generative\r\nSimplify compliance to ISO 13485 by using generative AI in the context of a nonconformity.<\/em>\r\n\r\nLeveraging generative AI within their eQMS, the quality professional seeks guidance. The technology, having been trained on the latest regulations, assists the user in answering a series of questions required for compliant documentation:\r\n