Sökning: "Helena Holmström Olsson"

Hittade 3 avhandlingar innehållade orden Helena Holmström Olsson.

  1. 1. Towards a Framework for Relational-Oriented Management of Information Systems Outsourcing : Key Conditions Connected to Actors, Relationships and Process

    Författare :Linda Bergkvist; Anders G. Nilsson; Marie-Therese Christiansson; Björn Johansson; Helena Holmström Olsson; Karlstads universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Information Systems; IS; outsourcing; key conditions; client–supplier relationship; process; actors; success; information systems development; conceptual framework; management; Information Systems; Informatik;

    Sammanfattning : Currently, client and supplier firms are struggling with how they can make their information systems (IS) outsourcing engagements more valuable. This research points to the importance of successful practice and outcome in IS outsourcing for achieving engagements of value. LÄS MER

  3. 2. Data and Visual Analytics for Cyber-physical Systems : Current Situation and Strategies for Action

    Författare :Didem Gürdür; Martin Törngren; Jad El-khoury; Helena Holmström Olsson; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Design; Maskinkonstruktion;

    Sammanfattning : Today, cyber-physical systems (CPS) exist everywhere in different sizes, with different functionalities and capabilities. CPS often support critical missions that have significant economic and societal importance. LÄS MER

  4. 3. Design Methods and Processes for ML/DL models

    Författare :Meenu Mary John; Helena Holmström Olsson; Jan Bosch; Maria Paasivaara; Malmö universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Deep Learning; Development; Deployment; Evolution;

    Sammanfattning : Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, companies are increasingly using Artificial Intelligence (AI) in systems, along with electronics and software. Nevertheless, the end-to-end process of developing, deploying and evolving ML and DL models in companies brings some challenges related to the design and scaling of these models. LÄS MER