Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but tools are still needed testing monitoring of ML-enabled systems.

Globalization requires new methods of delivering education and training, partly to enhance traditional methods of knowledge acquisition and to impart new skills and tools (Adam, Awerbuch, Slonim, Wegner and Yesha, 1997). Traditional classroom learning doesn’t seem to fit well with the notion of lifelong learning, since it requires the physical presence of instructors and students. It is instruc...

Paper prepared for publication in " Technological Forecasting and Social Change " (Special Issue on " Technology Policy and Innovation " to be published with selected and extended papers from the 5th Intl. Abstract While much attention has been devoted to information and communication technologies, a more fundamental change at the start of the new millennium is the increasing importance of inno...

Recent research activities in the field of TEL have created a new awareness for intelligent learning infrastructures. To foster the usage of innovative TEL in the workplace, it must be integrated into organizational business operations and aligned with their learning requirements. Being the semantic interface of organizational ICT infrastructure, business processes represent the potential linka...

This work introduces a novel, modular, layered web based platform for managing machine learning experiments on grid-based High Performance Computing infrastructures. The coupling of the communication services offered by the grid, with an administration layer and conventional web server programming, via a data synchronization utility, leads to the straightforward development of a web-based user ...

The demand for cloud computing has pressured the development of new market offerings, representing various cloud services and delivery models. These models significantly expand the range of available options and tasks.Cloud computing allows changes in businesses and organizations with more choices regarding how to run infrastructures, save costs, and delegate liabilities to thirdparty providers...

The observation "the nice thing about standards is that there are so many to choose from" (Tanenbaum, 1981, p. 221) has been circulating in e-learning standards circles for some time. This statement certainly reflects the varied and complex nature of standards organizations and standards development processes. This paper provides an overview of standards and specifications bodies and processes ...

Industrial control systems depend heavily on security and monitoring protocols. Several tools are available for this purpose, which scout vulnerabilities take screenshots of various panels later analysis. However, they do not adequately classify images into specific groups, is crucial security-based tasks performed by manual operators. To solve problem, we propose a pipeline based deep learning...