Recent advances in deep learning have shown many successful stories in smart healthcare
applications with data-driven insight into improving clinical institutions' quality of care …

Grounded in the diffusion of innovation theory (DOI), institutional theory, configuration
theory, and technology-organization-environment (TOE) framework, the study proposes a …

Over the past two decades, we have witnessed an exponential increase of data production
in the world. So-called big data generally come from transactional systems, and even more …

This paper presents the" CDAC AI life cycle," a comprehensive life cycle for the design,
development, and deployment of artificial intelligence (AI) systems and solutions. It …

As a relatively new concept, data lake has neither a standard definition nor an
acknowledged architecture. Thus, we study the existing work and propose a complete …

The digital transformation leads to massive amounts of heterogeneous data challenging
traditional data warehouse solutions in enterprises. In order to exploit these complex data for …

While there is growing consensus that the analytical and cognitive tools of artificial
intelligence (AI) have the potential to transform government in positive ways, it is also clear …

Today, an enormous amount of data is being continuously generated in all walks of life by all
kinds of devices and systems every day. A significant portion of such data is being captured …

Abstract The Internet of Things (IoT) is becoming an attractive system paradigm, in which
physical perceptions, cyber interactions, social correlations, and even cognitive thinking can …

Artificial Intelligence (AI) is one of the most relevant technologies of our time. During the last
decade, AI has made major technological breakthroughs most recently in the space of …