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Relevant information for R&D and quality assurance is often scattered across a multitude of PDF documents – from test reports and studies to technical manuals. Manually searching for these details is time-consuming and often leads to critical insights being overlooked. In this webinar, we will demonstrate how artificial intelligence can help efficiently extract relevant content from documents. LabV's new assistant enables automatic document searches, precise content summaries, and references to key sources. This allows you to analyze historical data effectively and use it for well-informed decision-making. Accessing important knowledge becomes easier, while efficiency and accuracy in research and quality assurance are significantly improved. Webinar topics: • Saving time when searching for information • Preventing information loss • Leveraging documents as valuable knowledge sources Sign up now to discover how LabV makes accessing hidden knowledge effortless and sustainably supports your decision-making processes. Moderation: Charles Jouanique Charles Jouanique has been active in the industry for over 13 years. In addition to developing new digital business models, he is also an entrepreneur and a multiple business angel for startups. He is the Co-Founder in charge of Sales & Marketing at LabV, a software company within the NETZSCH Group.