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SEMLA 2021

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SEMLA 2021 conference of July 1st

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Architecting ML-Enabled Systems

Speaker: Grace Lewis, Principal Researcher and the lead for the Tactical and AI-Enabled Systems (TAS) Initiative at the Carnegie Mellon Software Engineering Institute (SEI)

Abstract

Developing software systems that contain machine learning (ML) components requires an end-to-end perspective that considers the unique life cycle of these components — from data acquisition to model training to model deployment and evolution. While there is an understanding that ML components in the end are software components, there are some characteristics of ML components that bring challenges to software architecture and design activities, such as data-dependent behavior, drift over time, and timely capture of ground truth to inform retraining. The goal of this talk is to highlight some of these challenges, along with proposed practices and remaining gaps for successfully architecting ML-enabled systems.

Presentation and slides in English

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Biography of the speaker

Grace Lewis is a Principal Researcher and the lead for the Tactical and AI-Enabled Systems (TAS) Initiative at the Carnegie Mellon Software Engineering Institute (SEI). She is a Principal Investigator for two projects in the growing field of software engineering for machine-learning (ML) systems: “Characterizing and Detecting Mismatch in ML-Enabled Systems” and “Predicting Inference Degradation in Production ML Systems.” Her current areas of expertise and interest include software engineering for AI/ML systems, software architecture (in particular the development of software architecture practices for systems that integrate emerging technologies), edge computing, and software engineering in society. Grace holds a B.Sc. in Software Systems Engineering and a Post-Graduate Specialization in Business Administration from Icesi University in Cali, Colombia; a Master in Software Engineering from Carnegie Mellon University; and a Ph.D. in Computer Science from Vrije Universiteit Amsterdam. Grace is an IEEE Senior Member and very active in IEEE Computer Society committees and conferences. She is currently the VP for the IEEE Computer Society Technical & Conference Activities (T&C) Board, Member of the Board of Governors, Member of the Diversity and Inclusion (D&I) Committee, Alternate Representative for IEEE-CS on the ABET CSAB Board of Directors, as well as an ABET Evaluator for Computer Science undergraduate programs.

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