In this chapter, we learned about IoT, big data, and AI. This chapter introduced the common terminologies used in IoT. We learned about the IoT architecture for data management and data analysis. The enormous data generated by IoT devices necessitates special ways to handle it.
We learned about how data science and AI can help in both analytics and prediction generated by the many IoT devices. Various IoT platforms were briefly described in this chapter, as were some popular IoT verticals. We also learned about special DL libraries: TensorFlow and Keras. Finally, some of the datasets we'll be using throughout the book were introduced.
The next chapter will cover how to access the datasets available in varied formats.
