  Today, one of the biggest challenges for digital transformation in the
Industry 4.0 paradigm is the lack of mutual understanding between the academic
and the industrial world. On the one hand, the industry fails to apply new
technologies and innovations from scientific research. At the same time,
academics struggle to find and focus on real-world applications for their
developing technological solutions. Moreover, the increasing complexity of
industrial challenges and technologies is widening this hiatus. To reduce this
knowledge and communication gap, this article proposes a mixed approach of
humanistic and engineering techniques applied to the technological and
enterprise fields. The study's results are represented by a taxonomy in which
industrial challenges and I4.0-focused technologies are categorized and
connected through academic and grey literature analysis. This taxonomy also
formed the basis for creating a public web platform where industrial
practitioners can identify candidate solutions for an industrial challenge. At
the same time, from the educational perspective, the learning procedure can be
supported since, through this tool, academics can identify real-world scenarios
to integrate digital technologies' teaching process.
