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Discussion highlights how information science intersects with data technologies and artificial intelligence, suggesting key implications.
This study proposes the discussion about how Information Science (IS) can offer support to other scientific fields to improve Digital Transformation (DT) comprehension. As new technologies emerge every dayand are impulsively adopted by organizations to solve problems regarding information, these implementations evolve without a needed scientific base. As the ISis an open and contributive field to promote a productive dialog with other environments, this article focus on conditions, perspectives and potential results about the DTcomprehension, with a special focus over the innovative cases of the proposition of the Data Science field and the actual status of Artificial Intelligence. This approach is done evaluating the methodological principles of multidisciplinarity, interdisciplinarity and transdisciplinarity, all successfully practiced by ISscholars and researchers for decades, with significant results, enabling expectations to improve the understanding and domain of Digital Transformation
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George Leal Jamil (2025) studied this question.
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