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JOURNAL OF INNOVATION: MARCH 2022



KEEP ME INFORMED


PAST EDITIONS

 * November 2021: Rapid Advancements in Digital Transformation
 * June 2021: Applying Solutions at the Digital Edge
 * March 2021: Innovations in Digital Twins
 * November 2020: IoT Enabling Rapid Response to COVID and Future Pandemics
 * June 2020: Virtual Edition
 * March 2020: Innovations in Intelligent Transportation
 * November 2019: Digital Twin
 * June 2019: Artificial Intelligence
 * March 2019: Innovative Technologies
 * September 2018: Trustworthiness
 * June 2018: Innovation in Digital Twins
 * March 2018: IoT and Digital Transformation in Business
 * November 2017: Industrial IoT
 * September 2017: Edge Computing
 * June 2017: Smart Cities
 * January 2017: Smart Factory
 * June 2016: How IIoT is Disrupting Markets and the Economics Behind the
   Disruption
 * December 2015: Innovation


MARCH 2022 EDITION: ROLE OF AI IN INDUSTRY

The IIC's Journal of Innovation - the initiative of our Thought Leadership Task
Group - highlights the innovative ideas, approaches, products and services
emerging within the industrial internet.

We are excited to bring you this 19th edition of the Journal of Innovation: “The
Role of Artificial Intelligence in Industry.” AI is a significant contributor to
value creation in the fourth industrial revolution and estimated to provide a
$14 trillion boost to the global economy by 2035. The goal of this edition is to
illustrate the relevance of AI to Industrial IoT – from its applications to
implementation challenges.

The release of this edition coincides with the recent release of the IIC
Industrial IoT Artificial Intelligence Framework. The framework highlights the
value proposition AI can enable in next-generation industrial IoT systems and
addresses the emerging requirements and implementation challenges. We highly
encourage you to take a close look at the framework.

We would like to thank the authors and editors of this content, and hope you
find it a valuable resource as you consider the application of digital
transformation techniques in your organization. As always, your comments are
very welcome.

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TABLE OF CONTENTS

 * Applicative Framework for End-to-End AOI Implementation
   This article covers a concrete implementation of an Automatic Optical
   Inspection (AOI) system including the architecture from hardware and software
   points of view, and how it has been applied to real manufacturing processes.
   Authors: Valerio Di Eugenio, Gianluca Gamba, and Chiara Mattei of Bosch.
   
 * Design Considerations and Guidelines for Implementing Federated Learning in
   Smart Manufacturing Applications
   This article describes a common framework to support the development of
   Federated Learning. This enables the sharing of sensitive data across smart
   manufacturing organizations.
   Authors: Sourabh Bharti and Alan McGibney of Munster Technological
   University, Cork Ireland, and Tristan O’Gorman of IBM
   
 * Securing the ML Lifecycle
   This article provides approaches and recommendations on how to secure Machine
   Learning models throughout their lifecycles.
   Authors: Dr. Carmen Kempka, WIBU-SYSTEMS AG, and Prof. Dr. Andreas Schaad,
   University of Offenburg
 * DDoS Attack Identification Utilizing Machine Learning in Circumstances
   Involving Hacked IoT Devices/Insider Assaults
   This article illustrates the use of machine learning to identify and counter
   DDoS attacks involving wireless IoT devices.
   Authors: Rani Yadav-Ranjan, Arthur Brisebois, and Serene Banerjee of Ericsson
   GAIA

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