Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. (WAIN'21 - - 1st Workshop on AI Engineering

Who

Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, michele filannino

Track

WAIN'21

Time Zone

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When

Sun 30 May 2021 15:40 - 15:50 at WAIN Room - Session 1: Challenges in developing Machine-Learning-Enabled Systems - Experience from the trenches. Chair(s): Henry Muccini

Link to Preprint

https://arxiv.org/abs/2103.10548

Filippo Lanubile

University of Bari

Italy

Fabio Calefato

University of Bari

Italy

Luigi Quaranta

University of Bari, Italy

Italy

Maddalena Amoruso

Fabio Fumarola

michele filannino

Media

Time Zone

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Session Program

Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

15:00 - 16:00	Session 1: Challenges in developing Machine-Learning-Enabled Systems - Experience from the trenches.WAIN'21 at WAIN Room Chair(s): Henry Muccini University of L'Aquila, Italy

15:00 20m Paper		Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems WAIN'21 Grace Lewis Carnegie Mellon Software Engineering Institute, Stephany Bellomo Software Engineering Institute, Ipek Ozkaya Carnegie Mellon Software Engineering Institute Pre-print Media Attached
15:20 20m Talk		Linnaeus: A highly reusable and adaptable ML based log classification pipeline WAIN'21 Armin Catovic Schibsted, Carolyn Cartwright , Yasmin Tesfaldet Gebreyesus , Simone Ferlin Media Attached
15:40 10m Paper		Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists. WAIN'21 Filippo Lanubile University of Bari, Fabio Calefato University of Bari, Luigi Quaranta University of Bari, Italy, Maddalena Amoruso , Fabio Fumarola , michele filannino Pre-print Media Attached
15:50 10m Paper		Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help? WAIN'21 Sasu Mäkinen , Henrik Skogström , Tommi Mikkonen University of Helsinki Pre-print Media Attached

Information for Participants

Sun 30 May 2021 15:00 - 16:00 at WAIN Room - Session 1: Challenges in developing Machine-Learning-Enabled Systems - Experience from the trenches. Chair(s): Henry Muccini

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