The Herculean coalescence AIoT – a congruence or convergence?

The interestingly beneficiary technologies are numerous in the current era. Out of the lot, the two important superpower technologies, Artificial Intelligence and Internet of Things, converge to form AIoT. The generations evolved when the drawbacks were found, and the graph line goes uphill toward Industry 4.0. The characteristics like meticulous usage of sensors, analytics of the real-value data in the data lakes, which secured the stability of the surreptitious information, Gateway and Edge-based connectivity, training the system toward proactive analytics, and predictive maintenance through Machine Learning algorithms paved the way for AIoT. Amid the Laurette of successful convergence, the challenges persist to curtail the big boom of a beneficial avalanche of AIoT. The case discussions on applications like smart cities, retail industry, oil and gas industry, privacy and governance, and effective online examinations are done. As a trial to frame an appropriate strategy for the effective usage of AIoT, the complete operability challenges in terms of specifications, validation, programming, annotation, integration, analysis, and reasoning to overcome the challenging issues related to security, compatibility, complexity, artificial stupidity, lack of confidence, cloud attacks, and technology transfer have to be thoughtfully programmed for the excellence of the convergence of Artificial Intelligence and Internet of Things.