Machine Learning (ML) Algorithms for Enabling the Cognitive Internet of Things (CIoT)
Pethuru Raj, Anupama C. Raman, Harihara Subramanian · Auerbach Publications eBooks · 2022
The process of transitioning raw data into information and knowledge is gaining several noteworthy advancements. It is going through a series of tasks such as rationalization, simplification, and optimization. Besides the much-demanded process excellence, there are path-breaking platform solutions and AI toolkits to simplify and speed up the complicated job of converting data into knowledge. These knowledge conversions from data happen in an accelerated and augmented manner with the steady maturation of several digital technologies and tools. As we have discussed in the first few chapters with all the praiseworthy improvisations in the form of powerful algorithms, highly optimized and organized cloud servers, storages and networks, scores of integrated platforms and products, companies and governments across the world calculatedly and confidently make informed decisions by using artificial intelligence (AI) algorithms. The AI capabilities invariably help to develop venerable and viable analytical and decision-making models. These highly verified and curated models ultimately result in emitting out impending risks and alerts, making out fresh possibilities and opportunities, articulating vital trends and transitions, etc., without much human interpretation, instruction, and involvement. As the whole world is stricken with the second wave of Covid-19, predictive insights play a ground-breaking role in empowering vaccine makers and officials to take the correct decision in a pre-emptive and proactive fashion to serve their citizens better and faster. This chapter illustrates how a host of machine learning (ML) algorithms come in handy and contribute immensely to make intelligent digital entity (the Internet of Things (IoT) sensors, actuators, etc.), every electronics (IoT devices) smarter, every human being the smartest in decision-making, deals, and deeds. The continued innovations in the AI space can fulfil the unique ideals and goals of the cognitive IoT domain. And this book, especially this chapter, is to accentuate how the longstanding convergence of ML and the IoT paradigms is going to be a big and bold trendsetter for business organizations and software companies.