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DTSTART;TZID=Europe/Stockholm:20220207T120000
DTEND;TZID=Europe/Stockholm:20220207T123000
DTSTAMP:20260524T141714
CREATED:20220206T210554Z
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UID:4420-1644235200-1644237000@www.software-center.se
SUMMARY:Lunch seminar: Non-functional Requirements for Machine Learning
DESCRIPTION:Non-functional Requirements for Machine Learning: Understanding Current Use and Challenges in Industry \nThis week\, we have a presentation from our new associated project iNFORM\, which studies non-functional requirements for machine learning. Speaker: Khan Mohammad Habibullah \nMachine Learning (ML) is an application of Artificial Intelligence (AI) that uses big data to produce complex predictions and decision-making systems\, which would be challenging to obtain otherwise. To ensure the success of ML-enabled systems\, it is essential to be aware of certain qualities of ML solutions (performance\, transparency\, fairness)\, known from a Requirement Engineering (RE) perspective as non-functional requirements (NFRs). However\, when systems involve ML\, NFRs for traditional software may not apply in the same ways; some NFRs may become more prominent or less important; NFRs may be defined over the ML model\, data\, or the entire system; and NFRs for ML may be measured differently. In this work\, we aim to understand the state-of-the-art and challenges of dealing with NFRs for ML in industry. We interviewed ten engineering practitioners working with NFRs and ML. We find examples of (1) the identification and measurement of NFRs for ML\, (2) identification of more and less important NFRs for ML\, and (3) the challenges associated with NFRs and ML in the industry. This knowledge paints a picture of how ML-related NFRs are treated in practice and helps to guide future RE for ML efforts \n___________________________________________________\nMicrosoft Teams meeting \nJoin on your computer or mobile app \nClick here to join the meeting \nLearn More | Meeting options \n___________________________________________________
URL:https://www.software-center.se/event/lunch-seminar-non-functional-requirements-for-machine-learning/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
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DTSTART;TZID=Europe/Stockholm:20220221T120000
DTEND;TZID=Europe/Stockholm:20220221T123000
DTSTAMP:20260524T141714
CREATED:20220220T195538Z
LAST-MODIFIED:20220220T195612Z
UID:4434-1645444800-1645446600@www.software-center.se
SUMMARY:Effective ML System Development
DESCRIPTION:Welcome to the next Software Center lunch seminar hosted by theme 5: AI Engineering:\nEffective ML System Development \nSpeaker: Leonard Aukea\, Volvo Cars \nIn order to efficiently deliver and maintain ML systems; the adoption of MLOps practices is a must. In recent times\, the ML community have had to embrace and modify ideas originating from software engineering with reasonable success. Software 2.0 (AI/ML) poses some additional challenges that we are still struggling with today. In addition to code\, data and models also abide by the continuous principles (Continuous Integration\, Delivery and Training). \nAt Volvo Cars\, we are embracing a git-centric\, declarative approach to ML experimentation and delivery. The adoption of MLOps principles requires cultural transformation alongside supportive infrastructure & tooling that enables efficient development throughout the ML lifecycle. \nJoin us for this session to learn about how Volvo Cars embraces MLOps. \nBio:\nLeonard Aukea is driving ML Engineering and Operations at Volvo Cars. He is responsible for defining the overall mission and strategy for ML Engineering and Operations\, leading the build of reproducible ML systems. Leonard Aukea has spent most of his career as a Data Scientist/ML Engineer. \nMost welcome to the seminar and please share this invitation with your colleagues! \nAlso\, please note that everyone interested in getting invitation to future lunch seminars can sign up using the following link: https://lists.chalmers.se/mailman/listinfo/sc_lunchseminars \n____________________________________________________\nMicrosoft Teams meeting \nJoin on your computer or mobile app \nClick here to join the meeting \nLearn More | Meeting options \n_____________________________________________________
URL:https://www.software-center.se/event/effective-ml-system-development/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Jan Bosch":MAILTO:jan.bosch@chalmers.se
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