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Storytelling AI Set to Improve Wellbeing of People with Dementia

Researchers at the National Robotarium, hosted by Heriot-Watt University and the University of Edinburgh, are developing an artificial intelligence (AI) companion that will aid memory recollection, boost confidence and combat depression in people living with Alzheimer’s disease and other types of dementia.

AI companion tells stories to aid memory recollection, boost confidence in people with dementia

Researchers at the National Robotarium, hosted by Heriot-Watt University and the University of Edinburgh, are developing an artificial intelligence (AI) companion that will aid memory recollection, boost confidence and combat depression in people living with Alzheimer’s disease and other types of dementia.

Firms named for bigger and better EIE22 – Daily Business

Theorising Data-Driven Innovation Capabilities to Survive and Thrive i by Saida Sultana, Shahriar Akter et al

While data-driven innovation (DDI) is receiving substantial attention from academics and industry specialists, there is limited research on its dimensions and effects in marketing. We address this theoretical gap by examining the following research questions: ‘What are the necessary firm-level capabilities of DDI and its effects in a marketing environment?’ Drawing from the resource-based view (RBV), dynamic capabilities (DC), and market orientation theories, this study presents a data-driven innovation capabilities (DDIC) framework and proposes a new conceptualisation with new data product performance through new data product creativity. Based on a systematic literature review and thematic analysis, the findings offer seven propositions to enrich the emerging DDI theory in marketing and guide managerial decision making.

DDI programme aims to tackle data skills shortage

There is a well-documented skills shortage which can make it difficult to fill many technology and data-related roles in Scotland. And, at the same time, the workforce in those areas can often lack diversity, with too few women and ethnic minority employees.

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