Cognitive Hyperconnected Digital Transformation provides an
overview of the current Internet of Things (IoT) landscape, ranging
from research, innovation and development priorities to enabling
technologies in a global context. It is intended as a standalone
book in a series that covers the Internet of Things activities of
the IERC-Internet of Things European Research Cluster, including
both research and technological innovation, validation and
deployment. The book builds on the ideas put forward by the
European Research Cluster, the IoT European Platform Initiative
(IoT-EPI) and the IoT European Large-Scale Pilots Programme,
presenting global views and state-of-the-art results regarding the
challenges facing IoT research, innovation, development and
deployment in the next years. Hyperconnected environments
integrating industrial/business/consumer IoT technologies and
applications require new IoT open systems architectures integrated
with network architecture (a knowledge-centric network for IoT),
IoT system design and open, horizontal and interoperable platforms
managing things that are digital, automated and connected and that
function in real-time with remote access and control based on
Internet-enabled tools. The IoT is bridging the physical world with
the virtual world by combining augmented reality (AR), virtual
reality (VR), machine learning and artificial intelligence (AI) to
support the physical-digital integrations in the Internet of mobile
things based on sensors/actuators, communication, analytics
technologies, cyber-physical systems, software, cognitive systems
and IoT platforms with multiple functionalities. These IoT systems
have the potential to understand, learn, predict, adapt and operate
autonomously. They can change future behaviour, while the
combination of extensive parallel processing power, advanced
algorithms and data sets feed the cognitive algorithms that allow
the IoT systems to develop new services and propose new solutions.
IoT technologies are moving into the industrial space and enhancing
traditional industrial platforms with solutions that break free of
device-, operating system- and protocol-dependency. Secure edge
computing solutions replace local networks, web services replace
software, and devices with networked programmable logic controllers
(NPLCs) based on Internet protocols replace devices that use
proprietary protocols. Information captured by edge devices on the
factory floor is secure and accessible from any location in real
time, opening the communication gateway both vertically (connecting
machines across the factory and enabling the instant availability
of data to stakeholders within operational silos) and horizontally
(with one framework for the entire supply chain, across
departments, business units, global factory locations and other
markets). End-to-end security and privacy solutions in IoT space
require agile, context-aware and scalable components with
mechanisms that are both fluid and adaptive. The convergence of IT
(information technology) and OT (operational technology) makes
security and privacy by default a new important element where
security is addressed at the architecture level, across
applications and domains, using multi-layered distributed security
measures. Blockchain is transforming industry operating models by
adding trust to untrusted environments, providing distributed
security mechanisms and transparent access to the information in
the chain. Digital technology platforms are evolving, with IoT
platforms integrating complex information systems, customer
experience, analytics and intelligence to enable new capabilities
and business models for digital business.
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