Aligning business processes and work practices

Current business process modeling methodologies offer little guidance regarding how to keep business process models aligned with their actual execution. This paper describes how to achieve this goal by uncovering and supervising business process models in connection with work practices using BAM. BAM is a methodology for business process modeling, supervision and improvement that works at two dimensions; the dimension of processes and the dimension of work practices. The business modeling component of BAM is illustrated with a case study in an organizational setting

Cross-Modal Data Programming Enables Rapid Medical Machine Learning

Labeling training datasets has become a key barrier to building medical machine learning models. One strategy is to generate training labels programmatically, for example by applying natural language processing pipelines to text reports associated with imaging studies. We propose cross-modal data programming, which generalizes this intuitive strategy in a theoretically-grounded way that enables simpler, clinician-driven input, reduces required labeling time, and improves with additional unlabeled data. In this approach, clinicians generate training labels for models defined over a target modality (e.g. images or time series) by writing rules over an auxiliary modality (e.g. text reports). The resulting technical challenge consists of estimating the accuracies and correlations of these rules; we extend a recent unsupervised generative modeling technique to handle this cross-modal setting in a provably consistent way. Across four applications in radiography, computed tomography, and electroencephalography, and using only several hours of clinician time, our approach matches or exceeds the efficacy of physician-months of hand-labeling with statistical significance, demonstrating a fundamentally faster and more flexible way of building machine learning models in medicine

Adaptive Financial Regulation and RegTech: A Concept Article on Realistic Protection for Victims of Bank Failures

Frustrated by the seeming inability of regulators and prosecutors to hold bank executives to account for losses inflicted by their companies before, during, and since the financial crisis of 2008, some scholars have suggested that private-attorney-general suits such as class action and shareholder derivative suits might achieve better results. While a few isolated suits might be successful in cases where there is provable fraud, such remedies are no general panacea for preventing large-scale bank-inflicted losses. Large losses are nearly always the result of unforeseeable or suddenly changing economic conditions, poor business judgment, or inadequate regulatory supervision—usually a combination of all three. Yet regulators face an increasingly complex task in supervising modern financial institutions. This Article explains how the challenge has become so difficult. It argues for preserving regulatory discretion rather than reducing it through formal congressional direction. The Article also asserts that regulators have to develop their own sophisticated methods of automated supervision. Although also not a panacea, the development of “RegTech” solutions will help clear away volumes of work that understaffed and underfunded regulators cannot keep up with. RegTech will not eliminate policy considerations, nor will it render regulatory decisions noncontroversial. Nevertheless, a sophisticated deployment of RegTech should help focus regulatory discretion and public-policy debate on the elements of regulation where choices really matter

Technology Strategy for Re-engineering Design and Construction

Automation technology can provide construction firms with a number of competitive advantages. Technology strategy guides a firm's approach to all technology, including automation. Engineering management educators, researchers, and construction industry professionals need improved understanding of how technology affects results, and how to better target investments to improve competitive performance. A more formal approach to the concept of technology strategy can benefit the construction manager in his efforts to remain competitive in increasingly hostile markets. This paper recommends consideration of five specific dimensions of technology strategy within the overall parameters of market conditions, firm capabilities and goals, and stage of technology evolution. Examples of the application of this framework in the formulation of technology strategy are provided for CAD applications, co-ordinated positioning technology and advanced falsework and formwork mechanisation to support construction field operations. Results from this continuing line of research can assist managers in making complex and difficult decisions regarding reengineering construction processes in using new construction technology and benefit future researchers by providing new tools for analysis. Through managing technology to best suit the existing capabilities of their firm, and addressing the market forces, engineering managers can better face the increasingly competitive environment in which they operate

Formalising responsibility modelling for automatic analysis

Modelling the structure of social-technical systems as a basis for informing software system design is a difficult compromise. Formal methods struggle to capture the scale and complexity of the heterogeneous organisations that use technical systems. Conversely, informal approaches lack the rigour needed to inform the software design and construction process or enable automated analysis. We revisit the concept of responsibility modelling, which models social technical systems as a collection of actors who discharge their responsibilities, whilst using and producing resources in the process. Responsibility modelling is formalised as a structured approach for socio-technical system requirements specification and modelling, with well-defined semantics and support for automated structure and validity analysis. The effectiveness of the approach is demonstrated by two case studies of software engineering methodologies

IT process architectures for enterprises development: A survey from a maturity model perspective

During the last years much has been published about IT governance. Close to the success of many governance efforts are the business frameworks, quality models, and technology standards that help enterprises improve processes, customer service, quality of products, and control. In this paper we i) survey existing frameworks, namely ITIL, ASL and BiSL, ii) find relations with the IT Governance framework CobiT to determine if the maturity model of CobiT can be used by ITIL, ASL and BiSL, and (iii) provide an integrated vista of IT processes viewed from a maturity model perspective. This perspective can help us understand the importance of maturity models for increasing the efficiency of IT processes for enterprises development and business-IT alignment