Our new paper is published by IEEE IT Professional

Our everyday life is time-stamped with important evolution in the era of digital transformation, including incredible, and yet unprecedented solutions at the intersection of artificialinteligence, internetofthings, robotic, and Blockchain. It is on us, as researchers and developers, to ensure professionalism and ethics goes hand in hand with these rich technologies assuring the safety and security of the digital solutions.

Our new paper published by IEEE IT Professional:

J. Daniels, S. Sargolzaei, A. Sargolzaei, T. Ahram, P. A. Laplante and B. Amaba, “The Internet of Things, Artificial Intelligence, Blockchain, and Professionalism,” in IT Professional, vol. 20, no. 6, pp. 15-19, 1 Nov.-Dec. 2018.


Abstract: Digital transformation is affecting industries across global markets. Market segments, including industrial manufacturing, healthcare, financial services, food services, and automotive, are increasingly adopting Artificial Intelligence (AI), Internet of things (IoT), robotic process automation (RPA), and blockchain technologies. The convergence of these technologies holds the promise of creating smarter, safer, efficient, and more secure systems. IoT devices integrated with RPA allow secure robust communication among sensors, actuators, and power sources. AI is being deployed on wide ranging systems from quantum computers to edge devices. These systems are becoming more responsive in thinking, perceiving, and acting within time performance constraints. Designers are becoming increasingly confident in applying multiple technology advancements to solve volatile, uncertain, complex, and ambiguous challenges. However, as these technology architectures become more integrated, we are concerned with security and privacy risks. If all the data are on a centralized system, a single platform, or a nondistributed application, targeting the single point of failure, compromises the entire system. Can we use AI to empower IoT for accurate data acquisition and analysis real-time model development and prediction, while utilizing a blockchain foundation to reduce risks, support risk mitigation strategies, and enhance integrity and security?

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