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Sebastian Stabinger

Team Lead, R&d at DeepOpinion

Sebastian Stabinger is a seasoned professional with extensive experience in research and development, particularly within the fields of machine learning and natural language processing. As Team Lead for both R&D and Machine Learning at DeepOpinion from February 2019 to July 2024, Sebastian led various projects and teams, contributing significantly to the advancement of technology in these areas. Before this role, Sebastian served as a Lecturer at MCI Management Center Innsbruck, teaching introductory courses on C and C++ for the mechatronics program, and was involved in research projects related to deep learning and data science at Universität Innsbruck. With a PhD in Machine Learning and a Master of Science in Computer Science from Universität Innsbruck, Sebastian's educational background further strengthens a robust career in academia and industry.

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DeepOpinion

DeepOpinion is a B2B cognitive automation platform for end-to-end automation of repetitive cognitive processes that involve unstructured data.With DeepOpinion Studio, customers can easily create new automation workflows within minutes using a drag & drop workflow automation builder (iPaaS, 150+ native integrations) and enrich these workflowswith various cognitive skills (NLU/IDP) which allows to infusing latest AI (deep learning) into business processes. So even complex, repetitive text- and/or document-heavy processes can be automated with human-like intelligence without a single line of manually written code. All cognitive skills can be customized in a no-code AI skill builder.DeepOpinion Studio is based on our proprietary ML engine for automated deep learning for natural language understanding (www.autonlu.com), which automatically trains the best possible AI model for any data set in more than 100 languages. AutoNLU has achieved world-leading results in various benchmarks and outperforms solutions from vendors such as Google, Microsoft, IBM, or AWS by 20 percentage points or more within direct comparisons. This leads to both, more reliable processes and a higher level of automation. Consequently, our clients save more money and free up more process-bound resources.


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11-50

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