Continuous validation for data analytics systems

From a future history of 2025: Continuous development is common for build/test (continuous integration) and operations (devOps). This trend continues through the lifecycle, into what we call `devUsage': continuous usage validation. In addition to ensuring systems meet user needs, organisations continuously validate their legal and ethical use. The rise of end-user programming and multi-sided platforms exacerbate validation challenges. A separate trend isthe specialisation of software engineering for technical domains, including data analytics. This domain has specific validation challenges. We must validate the accuracy of sta-tistical models, but also whether they have illegal or unethical biases. Usage needs addressed by machine learning are sometimes not speci able in the traditional sense, and statistical models are often `black boxes'. We describe future research to investigate solutions to these devUsage challenges for data analytics systems. We will adapt risk management and governance frameworks previously used for soft-ware product qualities, use social network communities for input from aligned stakeholder groups, and perform cross-validation using autonomic experimentation, cyber-physical data streams, and online discursive feedback.

The e-learning cycle and continuous improvement for e-entrepreneurs

The purpose of this paper is to explore the integration of learning, continuous improvement and innovation theories as a basis for enhancing the education of e-entrepreneurs. Conceptual development of emerging interdisciplinary literature is combined with example analysis to develop the Circle of E-learning uniquely augmented by hermeneutics, action research and the creative destruction cycle of innovation using applied examples of e-entrepreneurship. Four R's are discussed in the Circle of E-learning; Review, Revise, Reconstruct, and Reveal. Observations for each of the 4R's are made regarding continuous improvement of the education of e-entrepreneurs. Findings are that the procedural pivot points indicated by the 4R's can be helpful for administrators and educators to improve operations and outcomes in management and professional development situations.