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DTSTART;TZID=Europe/Stockholm:20260608T090000
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UID:10000017-1780909200-1781179200@mimer-ai.eu
SUMMARY:Introduction to MLOps
DESCRIPTION:About the event\nThe event is a 3-half-days: \n\n8 June 09:00-12:00\n9 June 9:00-12:00\n11 June 9:00-12:00\n\nMLOps (Machine Learning Operations) is the set of practices that combines machine learning\, software engineering\, and DevOps to reliably build\, deploy\, monitor\, and maintain ML models in production. It focuses on automation\, reproducibility\, and governance across the entire ML lifecycle. Thus\, MLOps moves beyond individual steps and algorithms to provide a solid structure for ML development. In this event\, we will guide you through the whole MLOps journey\, examine its individual steps and provide a holistic view of the entire pipeline. The event combines interactive lessons with a hands-on lab where the participants will apply ideas from the course in practice. \nWho is this for?\n\n\nData scientists\, developers with basic ML knowledge\, or more in general practitioners who wish to expand their understanding of MLOps best practices. \n\n\nEngineers who need to incorporate more ML/AI development in their work and wish to approach this task in a well-structured way. \n\n\nKey takeaways for participants\n\n\nUnderstand the high-level processes involved in MLOps\, and in particular how MLOps provide a cohesive structure beyond individual processing steps and algorithms. \n\n\nReflect on how the real-world development and deployment of ML-powered applications encompasses much more than the individual ML algorithms. \n\n\nLearn the key steps in the MLOps process\, the key questions to ask and pitfalls to avoid in order to successfully achieve these steps\, from problem definition to model deployment and continuous monitoring. \n\n\nFocus on the importance of automation\, robustness and reproducibility in MLOps. \n\n\nHands-on experience with implementing all steps of the MLOps process using open-source tools (git\, MLFlow). \n\n\nPrerequisites\n\n\nBasic ML methods knowledge and experience with Python programming.
URL:https://mimer-ai.eu/event/introduction-to-mlops/
LOCATION:Online
ATTACH;FMTTYPE=image/webp:https://mimer-ai.eu/wp-content/uploads/2026/05/MLOps-thumbnail.webp
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260616T110000
DTEND;TZID=Europe/Stockholm:20260616T123000
DTSTAMP:20260610T051752
CREATED:20260507T101956Z
LAST-MODIFIED:20260513T082057Z
UID:10000019-1781607600-1781613000@mimer-ai.eu
SUMMARY:Trustworthy AI in practice
DESCRIPTION:About the webinar\nThe webinar will begin with a short introduction to the EU AI Act and the core principles of Trustworthy AI. The team will present the Mimer Trustworthy AI Self‑Assessment Tool (the SATisfiability)\, developed to support organizations in navigating these requirements. The tool is based on the ALTAI questionnaire and the EU AI Act\, with further development guided by forthcoming CEN‑CENELEC standards. It provides users with a clear overview of how trustworthy their AI system or concept is\, while highlighting the key regulatory and ethical requirements they should prioritize. Using this tool gets the users closer to understand their own developments in relation to trustworthiness as well as the EU AI Act. \nWho is the webinar for?\nSMEs\, Tech personnel interested in Trustworthy AI\, Leaders in tech industry interested to understand Trustworthy AI requirements. \nKey takeaways for participants\n\nAn introductory understanding of Trustworthy AI\nHow to use the Mimer developed Trustworthy AI Self Assessment Tool\n\nSpeaker bio\n\nFahria Kabir is an R&D Engineer at RISE\, focusing on trustworthy AI and space technology. Kabir currently serves as a Tech Lead in the Trustworthy AI Team at the Swedish AI Factory Mimer. Their interests include trustworthy AI\, the EU AI Act\, human oversight\, transparency\, explainable AI (XAI)\, and intrusion detection systems.\nSusanne Stenberg is Policy Expert in Trustworthy AI and Autonomous Systems at MIMER. Susanne works with applied legal research\, including in standardizations and operating policy labs. Her expertise is technology development in harmony with regulation\, regulatory sandboxes and testing activities. Senior researcher at RISE and the RISE center of Applied AI.
URL:https://mimer-ai.eu/event/trustworthy-ai-in-practice/
LOCATION:Online
ATTACH;FMTTYPE=image/webp:https://mimer-ai.eu/wp-content/uploads/2026/05/trustworthy-webinar.webp
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260617T140000
DTEND;TZID=Europe/Stockholm:20260617T150000
DTSTAMP:20260610T051752
CREATED:20260526T081238Z
LAST-MODIFIED:20260527T081830Z
UID:10000022-1781704800-1781708400@mimer-ai.eu
SUMMARY:Crash course in AI ethics
DESCRIPTION:About the webinar\nMinimal dose of Ethics of AI for all AI Factory use cases. \nWho is the webinar for?\nThe Crash Course in AI Ethics is universal and aimed at anyone who develops\, deploys\, or uses AI. \nKey takeaways for participants:\n\n\nGetting a sense of what is the role of ethics in technology. \n\n\nBeing able to identify the most common applied issues in AI ethics. \n\n\nKnowing next steps where to get support at MIMER regarding ethics\, if needed. \n\n\nSpeaker bio:\nLaurynas Adomaitis is an AI Ethics and Governance researcher at RISE Research Institutes of Sweden. Laurynas is now part of the Computer Science Department. He has previously worked for a software company as an Innovation Manager\, and as a researcher at the French Atomic Energy Commission. He has 7 years of experience in AI Ethics\, is chairing the international working group on Ethics for all AI Factories and Antennas\, and is a Co-Chair of the Digital Ethics working group at the European Research Consortium for Informatics and Mathematics.
URL:https://mimer-ai.eu/event/crash-course-in-ai-ethics/
LOCATION:Online
ATTACH;FMTTYPE=image/webp:https://mimer-ai.eu/wp-content/uploads/2026/05/ai-ethics-webinar.webp
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