Avoiding a Data Science Winter by Keeping the Expectations Low

In this paper we present and discuss some aspects related to what we consider as some of the most important corporate challenges of Data Science, AI and Machine Learning regarding both human talents and business. We examine the case of a discussion that took place over Quora and in particular we focus on an answer we have selected as indicative of a potentially threatening situation for the sustainable development of the Data Science, AI and Machine Learning disciplines as well as the growth of the respective demand and supply sides and the corresponding ecosystem these form. We then make an attempt to examine the setting by means of analyzing the case, using as our guide the provided narrative

Stakeholders of Cardiovascular Innovation Ecosystems in Germany: A First Level Analysis and an Example

This paper aims to provide a first attempt towards analysis innovation ecosystems for cardiovascular pathologies in Germany through the use of a stakeholder model. We present essential stakeholders for the development and deployment of innovations in the field of cardiovascular research and medicine, and the primary functions they fulfill in the context of these innovation ecosystems. The adopted approach consists of the implementation of a multilevel system model for analyzing stakeholders in this particular field. Data acquisition transpired through systematic literature review of multiple articles and studies. Data analysis phases were executed until reaching a point at which the considerable amount of data was discovered, ensuring consistency across various sources. We demonstrate that innovation ecosystems in cardiovascular medicine involve interconnected networks of stakeholders across different fields. Moreover, through an investigation of innovation ecosystems of cardiovascular pathologies particularly in Germany, we present the functions undertaken by each stakeholder, which are essential for the participation in the innovation ecosystems. The findings presented in this paper hold the potential to bring better understanding of cardiovascular pathology innovation ecosystems in Germany. This assertion is substantiated through a comprehensive examination of relevant scientific literature

Wunderkammers: Powerful Metaphors for ‘Tangible’ Experiential Knowledge Building

The paper identifies the need to support powerful metaphors that capture innovations of new emerging human computer interaction (HCI) technologies and innovative question and answering (Q&A) systems in the context of spatial learning and inquiry-based learning in education. Aim/goals of the research: Explore the potential of ‘Wunderkammer’ (curiosity cabinet) as a powerful metaphor to design new types of learning experiences catering for an ecology of artefacts (real or virtual objects) to provide a holistic context for educators to share and extend learning in action. Conclusions: We provide insight into the emergence of smart interactive objects with different types of sensors that can potentially support everyday life and the increasing access to new visual experiences through augment reality and virtual reality, for new types of tangible knowledge building that can be personalised and shared. This reshaping of human centred design and creating new experiences through tangible creations that externalize in real time and through new materials, the creative power of the ‘imaginations of movement’ provides new user experience design thinking through the concept of powerful metaphors, to provide core design requirements where the blending of worlds is common place

The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO

People with dementia often experience loneliness and social isolation. This can result in increased cognitive decline which, in turn, has a negative impact on quality of life. This paper explores the use of the social robot, MARIO, with older people living with dementia as a way of addressing these issues. A descriptive qualitative study was conducted to explore the perceptions and experiences of the use and impact of MARIO. The research took place in the UK, Italy and Ireland. Semi-structured interviews were held in each location with people with dementia (n = 38), relatives/carers (n = 28), formal carers (n = 28) and managers (n = 13). The data was analyzed using qualitative content analysis. The findings revealed that despite challenges in relation to voice recognition and the practicalities of conducting research involving robots in real-life settings, most participants were positive about MARIO. Through the robot’s user-led design and personalized applications, MARIO provided a point of interest, social activities, and cognitive engagement increased. However, some formal carers and managers voiced concern that robots might replace care staff

Learning from Mistakes Results in Increase of Corporate Value

Journal articleIn the paper we approach the issue of learningfrom our mistakes from different schools of thought andwith the use of different epistemological metaphors such asthe intellectual capital. We pose emphasis to the relevance ofmistakes to the overall individual and corporate learningprocess and make an attempt to valuate metaphors forassessing mistakes and their relation to corporateintellectual capital and wealth.Not peer reviewe

Use of the concept of situation room analysis and the relevant enabling technologies to support collaboration in the IT product development

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Situation Room Analysis in the Information Technologies Market

It would be interesting and scientifically rewarding to investigate the possibilities of designing a "sheltered" situation room for the Information Technologies and Telecommunications services and products market. The proposed framework might be employed during any phase of the life cycle of an IT&T service or product, i.e. from the early design phases up to the phase of its launching into the market; it aims to be utilised by the various actors involved in the IT&T market, such as the industry e.g. software developers, network infrastructure suppliers, horizontal service providers, e.t.c., policy makers, regulation, legislation and standardisation bodies, as well as the R&D community and end users. In this paper an approach is presented which builds on the notion of a situation room; the latter term is broadly used in the context of military operations and has specific semantical connotations. We, deliberately, exploit the term’s ‘past’ and propose an analytical scheme based on it, which aims to assist planning initiatives and decision making in the application domain of the Information Technologies and Telecommunications (henceforth: IT&T) market.

The Missing Link: How Lack of Branding Can Drive to Failures in e-Business and e-Commerce Ventures

In the paper we present first hand and personal experiences from the lack of branding and how much it can influence the failure of a project or a venture. We do so in terms of present a personal failure story, namely this of the PACE toolkit, a methodology that the author has co-developed at ALTEC Research Programmes Division for valuating intellectual and intangible assets, in parallel with the success story of the business model canvas developed by Alex Osterwalder. We emphasise on the need for e-business and e-commerce professionals and practitioners to more seriously and enthusiastically invest in branding related activities. Involving others such as future potential users or customers as well as investors is a key in the adoption and uptake of our offerings

Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper

Conference paperThis paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. Firstly the problems and motivation are introduced, with accenton big data and high frequency trading issues that are creating major problemsto the current software systems. Secondly the state of the art on Big Data,Regulation and Risk Management are presented. Next the FIORD platformarchitecture is detailed and the envisioned approach explained. Finallyconclusions are presented where benefits for real time monitoring areemphasized so high frequency trading irregularities are detected in real time forthe benefit of involved financial institutions