Case Studies: AI Inference Applications in IoT and Big Data Domains

The paper will explore how AI inference on IoT and Big Data is transformative with respect to the health care sector, manufacturing, smart cities, energy, and agriculture. AI inference transforms sensor data into actionable intelligence through the combination of real-time data, predictive analytics, and automation, and enhances efficiency, sustainability, and reliability. Applications in predictive maintenance, smart grids, urban management and precision farming are pointed out in the discussion. The most important issues, such as the quality of data, privacy, scalability, and ethical use are discussed as well as ways of dealing with them. New tendencies such as edge computing, federated learning, explainable AI, 5G integration, and digital twins are found to be pushing the next generation of smart, connected systems. In general, the chapter stresses the importance of AI inference as a source of data-experienced innovation and as the means of developing more intelligent, sustainable, and resilient structures to climate change in the future.