Final Thoughts: AI’s Contribution to Project Success

  • Nevena Ranković
  • , Dragica Rankovic
  • , Mirjana Ivanovic*
  • , Ljubomir Lazic
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

    11 Downloads (Pure)

    Abstract

    This chapter concludes the first part of the book by highlighting the transformative impact of AI on software project management, offering solutions to long-standing inefficiencies. It addresses how AI can improve success rates by automating key tasks, optimizing resources, and enabling better decision-making. The chapter also outlines future research directions, including the use of deep learning models like RNNs for effort estimation and risk management. The continuous learning capabilities of AI are shown to significantly enhance project outcomes and overall organizational efficiency.
    Original languageEnglish
    Title of host publicationRecent Advances in Artificial Intelligence in Cost Estimation in Project Management
    EditorsNevena Ranković, Dragica Rankovic, Mirjana Ivanovic, Ljubomir Lazic
    PublisherSpringer Cham
    Chapter8
    Pages285-288
    Number of pages4
    Edition1
    ISBN (Electronic)978-3-031-76572-8
    ISBN (Print)978-3-031-76571-1
    DOIs
    Publication statusPublished - 2024

    Publication series

    NameArtificial Intelligence-Enhanced Software and Systems Engineering
    PublisherSpringer Cham
    Volume6
    ISSN (Print)2731-6025
    ISSN (Electronic)2731-6033

    Keywords

    • AI in software project management
    • deep learning for effort and cost estimation
    • AI-driven project automation
    • Optimized resource allocation

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