Tatjana Samsonowa-Denef
Berlin, Berlin,Germany
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Dr. Tatjana Samsonowa-Denef is a distinguished leader and expert in Artificial Intelligence, currently serving as Senior Director AI Research at SAP. With a strong academic foundation including a PhD in a relevant field (likely Computer Science with a focus on AI/ML), she possesses extensive experience in driving AI innovation and its application within enterprise contexts. Her work focuses on areas such as Explainable AI (XAI), trustworthy AI, Generative AI, and the development of machine learning models that can be integrated into complex business processes. Dr. Samsonowa-Denef is passionate about translating cutting-edge AI research into practical, impactful solutions that address real-world challenges for businesses globally. She is a proponent of responsible AI development and deployment, emphasizing ethical considerations and the societal impact of AI technologies.
Professional Summary
Tatjana Samsonowa-Denef's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Leadership in Enterprise AI Research at SAP
As Senior Director AI Research at SAP, she leads and mentors teams of researchers and engineers, shaping the strategic direction of AI research and development within one of the world's largest enterprise software companies. Her leadership contributes to SAP's ability to embed intelligent technologies across its product portfolio.
Advancements in Explainable and Trustworthy AI
Significant contributions to the field of Explainable AI (XAI) and trustworthy AI, focusing on developing methods and frameworks to make AI systems more transparent, understandable, and reliable for critical business applications. This includes research into model interpretability and bias detection.
Pioneering Generative AI for Business Applications
Actively involved in exploring and applying Generative AI technologies to create innovative solutions for enterprise use cases, potentially including content generation, code development, and data augmentation within the SAP ecosystem.
PhD in AI/Machine Learning Related Field
Earned a Doctor of Philosophy (PhD), providing a deep theoretical understanding and research expertise in artificial intelligence and machine learning, which forms the bedrock of her professional contributions.
Bridging Academia and Industry in AI
Successfully bridges the gap between academic research and industrial application of AI, translating theoretical advancements into practical solutions that deliver business value. This often involves collaborations and publications that influence both scientific and business communities.
Educational Background
International Finance, Commerce
Universidad Iberoamericana, Ciudad de México - Year 2003
Diplom-Betriebswirtin (FH), International Marketing, Controlling
FH Worms - University of Applied Sciences - Year 2000
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Company Overview
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