45 research outputs found
Concluding reflections and presentation of an EBOCD conceptual process model
This chapter begins by presenting a synopsis of insights on EBOCD practice gleaned from the Section 2
chapters, and a range of extant and emergent generalized (common) insights and lessons about evidencebased initiatives for OCD that have resulted from a multiple cross-case comparative analysis of the 33
reflective case histories presented in Section 3. It then offers a response to the skepticisms expressed by
McLean and Kim, the authors of Chapter 52, about the reality of EBOCD ever existing beyond what they
suggest could be outlier case history examples of OCD by drawing attention to the wide range of extant
best evidence that informed them. The chapter concludes with an EBOCD Conceptual Process Model
which offers a pathway forward for bridging the reputed research-practice gap in the field of OCD and
HRD, and for generating new bodies of best evidence and practice-to-theory research opportunities.Chapter 5
Engineering AI Systems: A Research Agenda
Artificial intelligence (AI) and machine learning (ML) are increasingly
broadly adopted in industry, However, based on well over a dozen case studies,
we have learned that deploying industry-strength, production quality ML models
in systems proves to be challenging. Companies experience challenges related to
data quality, design methods and processes, performance of models as well as
deployment and compliance. We learned that a new, structured engineering
approach is required to construct and evolve systems that contain ML/DL
components. In this paper, we provide a conceptualization of the typical
evolution patterns that companies experience when employing ML as well as an
overview of the key problems experienced by the companies that we have studied.
The main contribution of the paper is a research agenda for AI engineering that
provides an overview of the key engineering challenges surrounding ML solutions
and an overview of open items that need to be addressed by the research
community at large.Comment: 8 pages, 4 figure