SOFTWARE AND TOOLS

Industry IoT Consortium Publishes the Industrial IoT Artificial Intelligence Framework

Industry IoT Consortium | March 08, 2022

Industry_IoT_Consortium
Today, the Industry IoT Consortium® (IIC™) announced the Industrial IoT Artificial Intelligence Framework (IIAIF). The framework highlights the value proposition AI can enable in next-generation industrial IoT (IIoT) systems and addresses the emerging requirements and implementation challenges.

“The rapid growth and innovation in the field of AI have unlocked applications that a few years ago were infeasible. These advances are fueling digital transformation across industry sectors such as manufacturing, transportation, healthcare, finance, and retail," said Wael William Diab, Chair IIC Industrial AI Task Group and Secretary IIC Steering Committee. "By taking a holistic approach to the emerging requirements and challenges, the framework aims to accelerate responsible adoption of AI-enabled IIoT systems and ultimately bring the benefits of digital transformation to more use cases and sectors."

The IIAIF brings together both the IT and OT perspectives and their convergence by considering the various aspects of next-generation AI-enabled IIoT systems. For instance, the framework addresses the value proposition, implementation challenges, and architectural decisions and provides exemplary usage scenarios.

"AI-enabled IIoT systems enable better insights, faster decision making, and more effective operations, and empower organizations to deliver higher value to the market," said Bassam Zarkout, Executive Vice President IGnPower Inc. and the Chief Editor of the IIAIF. "The framework is unique in terms of positioning, scope, and real-world use cases. It addresses the practical business, trustworthiness, ethical, and technical considerations of AI with other digital transformation enabling technologies.”

The IIC is focused on creating transformative business value by accelerating the adoption of industrial IoT systems. The IIAIF is a prime example of how IIC is facilitating the adoption of emerging technology by helping organizations understand and address the unique requirements of AI in IIoT environments.”

Stephen Mellor, IIC CTO and Exec. VP of OMG

About Industry IoT Consortium
The Industry IoT Consortium delivers transformative business value to industry, organizations, and society by accelerating the adoption of a trustworthy internet of things. The Industry IoT Consortium is a program of the Object Management Group® (OMG®).

Spotlight

The Industrial Internet of Things (IIoT) seeks to connect industrial assets and machines the things to enterprise information systems, business processes and people who operate and use them. Advanced analytics is at the core of this next-generation level of integration and, when applied to machine and process data, provides new insights and intelligence to optimize decision-making significantly and enable intelligent operations leading to transformational business outcomes and social value. If data is the new fuel, data analytics is the new engine that propels the IIoT transformation. As a fledgling new discipline combining advances in mathematics, computer science and engineering in the context of Information Technologies (IT) and Operational Technologies (OT) convergence, industrial analytics plays a crucial rule in the success of any IIoT system. Operating in industrial settings, analytics has unique requirements, characteristics and challenges compared to business analytics and so requires special considerations in its implementation. Much needs to be explored since industrial analytics is in its early stage of development. This paper is intended to spur discussions and research, and speed up the development and maturity of this indispensable technology.

Spotlight

The Industrial Internet of Things (IIoT) seeks to connect industrial assets and machines the things to enterprise information systems, business processes and people who operate and use them. Advanced analytics is at the core of this next-generation level of integration and, when applied to machine and process data, provides new insights and intelligence to optimize decision-making significantly and enable intelligent operations leading to transformational business outcomes and social value. If data is the new fuel, data analytics is the new engine that propels the IIoT transformation. As a fledgling new discipline combining advances in mathematics, computer science and engineering in the context of Information Technologies (IT) and Operational Technologies (OT) convergence, industrial analytics plays a crucial rule in the success of any IIoT system. Operating in industrial settings, analytics has unique requirements, characteristics and challenges compared to business analytics and so requires special considerations in its implementation. Much needs to be explored since industrial analytics is in its early stage of development. This paper is intended to spur discussions and research, and speed up the development and maturity of this indispensable technology.

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