Kairntech

In the online meeting of the "Smart Innovation Community" organized by Fraunhofer IAO yesterday, I talked about Kairntech projects. Thank you for the invitation! I talked about our work in the EU project #COMMUTE, in which we are working with colleagues from Fraunhofer SCAI on the analysis of scientific literature on Covid-19. Among other things, I described the intensive publication activity in the project (e.g. https://lnkd.in/eFmYRMHU), where the experts at SCAI compared our approaches with the results from large language models. Very interesting paper! And since we obviously couldn't read these papers in my short presentation, we asked Kairntech Software to summarize the essence of this paper for us: see below. (Spoiler: we were pretty proud to read the paper). Thanks to the interested audience yesterday and thanks to the first author Negin Babaiha from Fraunhofer SCAI for the exciting study!

Kairntech upcoming webinar October 24, 2024 at 4PM CET to present use cases on Generative AI in Finance Industry Regulations Registration on zoom here: https://bit.ly/3TuaUj4 In heavily regulated industries such as finance and banking, analysing complex #regulations and ensuring #compliance with the respective rules is a considerable effort and a constant challenge. Recent advances in #AI and Natural Language Processing #NLP can contribute a lot to making these processes more comprehensive and efficient. In this webinar the two speakers outline how Large Language Models (#LLMs) can be employed for these tasks: - Kai Lebeth shares his experiences of dealing with regulatory compliance in the financial industry for many years for a major german bank. - Stefan Geißler, co-founder of Kairntech, presents use cases within the Kairntech AI software platform. The webinar is free of charge. There will be a Q&A session at the end.

We had the pleasure to present some impressions about generative AI and what it means for many business processes today to an audience of the Pharma Documentation Ring P-D-R i4i group today. We were referring in particular to some of the work that we have done with colleagues at Boehringer Ingelheim: Dr. Karlheinz Spenny and Dr. Gabriele Becher from Boehringer added a live demo on some scenarios. Many thanks go out to the interested audience at the P-D-R and to Karlheinz and Gabi for joining the show and making it possible.

The NEMO consortium, led by Sintef (No) and involving Kairntech, has been selected to take part in the European Defence Fund's Human Language Technology challenge. With the digitalisation of the battlefield, which leads to more and more complex user interfaces and to ever-increasing volumes of language data to process, #language technologies such as multilingual written or spoken interaction, translation, and Information Retrieval are needed in an increasing number of defence systems, especially for #C4ISR (Computerized Command, Control, Communications, Intelligence & Surveillance) and joint multinational and/or peacekeeping operations. This is a 5-year project in which Kairntech will work with its partners. Kairntech's contribution will be to support automatic text analysis in an efficient and practical way of different Natural Language Processing (#NLP) features, focusing on five tasks: Named Entity Recognition (NER), text classification, event detection, relationship extraction and question-answering (Retrieval Augmented Generation scenario - RAG). We will use state-of-the-art language technologies including #GenAI, #MachineLearning, #DeepLearning, Large Language Models (#LLMs)... on a number of different European and Eastern languages.

Opportunities of artificial intelligence in innovation management? Happy to see you at the workshop of Kairntech together with Fraunhofer IAO and TecIntelli at the Open Innovation Kongress Baden-Württemberg 2024 in Stuttgart, Germany on Monday, April 8. See below.

Upcoming Webinar on GenAI: Retrieval-Augmented Generation (#RAG) has emerged as one of the most popular architecture in systems based on Large Language Models (#LLMs). Optimizing the overall RAG process is complex. The big challenge is to make information retrieval and GenAI more accurate and trustworthy. RAG customization is therefore crucial when it comes to deploying RAG projects to business stakeholders. Do you want to discover some cool advanced RAG customization techniques? Register to our upcoming webinar! https://bit.ly/3PDQ52U

Upcoming Webinar on GenAI: Retrieval-Augmented Generation (#RAG) has emerged as one of the most popular architecture in systems based on Large Language Models (#LLMs). Optimizing the overall RAG process is complex. The big challenge is to make information retrieval and GenAI more accurate and trustworthy. RAG customization is therefore crucial when it comes to deploying RAG projects to business stakeholders. Do you want to discover some cool advanced RAG customization techniques? Register to our upcoming webinar! https://bit.ly/3PDQ52U

New Project MindSpeak: Kairntech partners with NiceDay HealthCare Nederland to enhance data-supported #psychotherapy through Advanced AI Powered Language Technologies and Personalization. While mental health problems are increasing rapidly worldwide, with a 13% rise in mental health conditions and substance use disorders in the last decade alone, there is a shortage of qualified mental #healthcare personnel to provide treatment. This is a global issue, with many countries, including in the EU, facing similar challenges. In the Netherlands for instance, this shortage has resulted in long waiting lists and patients being turned away from mental health centres. Accordingly, it is vital to improve the efficiency and effectiveness of #treatment to both improve treatment outcome as well as lessen the burden on the therapist. In the MindSpeak project #NiceDay and Kairntech will develop a unique and revolutionary feature for Digital Mental Health Care Interventions (DMHIs) which, by using Natural Language Processing (#NLP), not only automates therapist tasks, but also creates and leverages #data to radically improve the quality of treatments. At the core of the process is the automated generation and smart #summarization of meeting notes after each treatment. With the use of beyond state of the art NLP, the spoken text during the (online) treatment session will be transcribed, cleaned, reworked, also being able to distinguish between speakers. Through complex NLP pipelines the platform will be able to generate smart summaries, based not only the generated text during the meeting, but they will also be enriched relying on #metadata such as historical meeting notes and input data from the therapist. Automating this task saves mental healthcare professionals up to an hour a day and allows them to treat more patients within the same amount of time.

A good year ago the NLP world was struck by the #LLM revolution. So how should we combine LLMs with our existing platform that is based upon 20+ years of experience in language processing? The mechanism that caught our attention is called #RAG (Retriever Augmented Generation). Combined with a question answering interface, RAG allows you to obtain answers from internal, and often confidential documents. And besides document, audio and video can now also be used as a source. Any developer can build a RAG prototype. But we want that any business user can create a question answering solution. Fast and without coding... And that’s what we set out to build together with our customers. We are really proud and excited to announce a new release of our platform with question answering. To keep it short, to deliver business value we aim for: 👉 Fast prototyping in a #lowcode environment with a wide range of easy-to-use pre-packaged technology components 👉 Extensive customization possibilities because every case is different 👉 One-click industrialization through a rich API Please find below a short RAG customization guide. Further details can be found in our #whitepaper: https://bit.ly/3Oszsqg

EU-Project COMMUTE has started. The EU Research project COMMUTE (“COMORBIDITY MECHANISMS UTILIZED IN HEALTHCARE”) has been kicked off at a two day meeting at the International Center of Information Technology (B-IT) at the University Bonn. Coordinated by Prof Martin Hofmann-Apitius and his team at the Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), the project will investigate links between Covid-19 infections and neurodegenerative diseases. Kairntech will contribute AI/NLP capabilities for the large scale analysis of scientific content. We are looking forward to an exciting endeavour with the consortium. More at https://lnkd.in/ejBZbcbe