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Books > Computing & IT > Computer software packages > Other software packages > Enterprise software > General
Digital transformation in organizations optimizes the business
processes but also brings additional challenges in the form of
security threats and vulnerabilities. Cyberattacks incur financial
losses for organizations and can affect their reputations. Due to
this, cybersecurity has become critical for business enterprises.
Extensive technological adoption in businesses and the evolution of
FinTech applications require reasonable cybersecurity measures to
protect organizations from internal and external security threats.
Recent advances in the cybersecurity domain such as zero trust
architecture, application of machine learning, and quantum and
post-quantum cryptography have colossal potential to secure
technological infrastructures. Cybersecurity Issues and Challenges
for Business and FinTech Applications discusses theoretical
foundations and empirical studies of cybersecurity implications in
global digital transformation and considers cybersecurity
challenges in diverse business areas. Covering essential topics
such as artificial intelligence, social commerce, and data leakage,
this reference work is ideal for cybersecurity professionals,
business owners, managers, policymakers, researchers, scholars,
academicians, practitioners, instructors, and students.
In the digital economy, a new type of business activity, digital
entrepreneurship, has developed rapidly and required breakthrough
technologies such as blockchain, big data, cloud technologies, and
more. There is a need for a comprehensive resource that provides
all-encompassing insight into the essence, special aspects, models,
and international best practices of e-business based on various
digital technologies in various high-tech markets. Digital
Technologies for Entrepreneurship in Industry 4.0 provides
theoretical frameworks and recent results of research in this
sphere. It substantiates digital entrepreneurship, discusses the
practical experience of its implementation, and develops the
scientific and methodological recommendations for the development
of its infrastructural provision and regulation of provision of its
competitiveness. Covering topics such as investment attractiveness,
corporate reporting modernization, and public-private partnership
mechanisms, this premier reference source is an excellent resource
for entrepreneurs, business executives and managers, investors, IT
managers, students and faculty of higher education, researchers,
and academicians.
Clinical Engineering: A Handbook for Clinical and Biomedical
Engineers, Second Edition, helps professionals and students in
clinical engineering successfully deploy medical technologies. The
book provides a broad reference to the core elements of the
subject, drawing from a range of experienced authors. In addition
to engineering skills, clinical engineers must be able to work with
both patients and a range of professional staff, including
technicians, clinicians and equipment manufacturers. This book will
not only help users keep up-to-date on the fast-moving scientific
and medical research in the field, but also help them develop
laboratory, design, workshop and management skills. The updated
edition features the latest fundamentals of medical technology
integration, patient safety, risk assessment and assistive
technology.
FOCAPD-19/Proceedings of the 9th International Conference on
Foundations of Computer-Aided Process Design, July 14 - 18, 2019,
compiles the presentations given at the Ninth International
Conference on Foundations of Computer-Aided Process Design,
FOCAPD-2019. It highlights the meetings held at this event that
brings together researchers, educators and practitioners to
identify new challenges and opportunities for process and product
design.
Throughout the world, artificial intelligence is reshaping
businesses, trade interfaces, economic activities, and society as a
whole. In recent years, scholarly research on artificial
intelligence has emerged from a variety of empirical and applied
domains of knowledge. Computer scientists have developed advanced
deep learning algorithms to leverage its utility in a variety of
fields such as medicine, energy, travel, education, banking, and
business management. Although a growing body of literature is
shedding light on artificial intelligence-enabled difficulties,
there is still much to be gained by applying fresh theory-driven
techniques to this vital topic. Revolutionizing Business Practices
Through Artificial Intelligence and Data-Rich Environments provides
a comprehensive understanding of the business systems, platforms,
procedures, and mechanisms that underpin different stakeholders'
experiences with reality-enhancing technologies and their
transformative application in management. The book also identifies
areas in various business processes where artificial intelligence
intervention would not only transform the business but would also
make the business more sustainable. Covering key topics such as
blockchain, business automation, and manufacturing, this reference
work is ideal for computer scientists, business owners, managers,
industry professionals, researchers, academicians, scholars,
practitioners, instructors, and students.
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