<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Preface of the 3rd workshop on Process Management in the AI Era</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Valeria Fionda</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Fabiana Fournier</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Antonio Ielo</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Lior Limonad</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marco Montali</string-name>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>Giuseppe De Giacomo</string-name>
        </contrib>
      </contrib-group>
      <abstract>
        <p>Achieving a productive synergy between Artificial Intelligence (AI) and Process Management (PM) presents foundational, conceptual, and technical challenges. The PMAI workshop series aims to bring together researchers from various disciplines to foster collaboration and address these challenges in the field of PM. This one-day workshop featured an invited keynote talk, along with presentations that covered a range of topics related to the intersection of AI and PM. The discussions spanned theoretical foundations, technological developments, and real-world applications, including declarative process mining, neuro-symbolic integration for temporal knowledge, and probabilistic reasoning. The workshop program included one keynote delivered by Prof. Andrea Marrella, along with two presentation sessions featuring four regular papers and one short paper, all of which were selected through a peer-review process. We would like to extend our sincere thanks to Prof. Andrea Marrella for his insightful keynote speech and to all the contributing authors and speakers. Their participation helped create a platform for knowledge exchange and spirited discussions on significant advancements at the intersection of AI and PM, showcasing innovative work in this rapidly evolving area. We look forward to the continuation of similar events in the future.</p>
      </abstract>
    </article-meta>
  </front>
  <body />
  <back>
    <ref-list />
  </back>
</article>