Exploring the convergence of Internet of things and big data technologies in the age of generative artificial intelligence

The Internet of things (IoT) has transformed the way we interact with the physical world, generating an unprecedented volume of data. In modern enterprises, the convergence of IoT, big data, and generative artificial intelligence (GAI) is reshaping the landscape of digital solutions. This chapter explores this convergence, shedding light on emerging solutions, software architectures, and challenges and opportunities in the age of GAI. We explore the complexities of effectively using IoT-generated data, emphasizing the challenges of gathering, organizing, curating, and processing these data for meaningful insights. We highlight the importance of linking analytical, cognitive, and GAI to enable the development of self-evolving systems capable of learning from extensive data streams and making instant data-driven decisions and predictions. This synergy between IoT, big data, and AI can transform various industries by enhancing automation, augmentation, and improvement of their processes.