Blockchain is often used in IoT to ensure data privacy during transmission. Blockchain technology provides a secure and tamper-proof way to record and transmit data, making it an excellent choice for maintaining the integrity and security of IoT data during transmission.

The part of the IoT architecture that interacts with the physical world and has sensors and actuators is called the "Device" layer. This is where the IoT sensors and actuators are located, collecting and controlling physical data and processes.

To extend the battery life of IoT devices, it is crucial to implement power-efficient techniques. Deep sleep modes, where the device is put into a low-power state and periodically wakes up to perform tasks, are most appropriate for conserving battery power. Frequent data transmission and continuous high-power modes consume more energy and are not suitable for devices with extended battery life requirements.

Kevin Ashton is often credited with pioneering the idea of adding sensors and intelligence to basic objects. He coined the term "Internet of Things" and recognized the potential of connecting everyday items to the internet, enabling them to collect and exchange data. His work laid the foundation for the IoT revolution.

An IoT solution that uses AI to predict equipment failures based on historical data is an example of Predictive Maintenance, a key application of IoT and AI for improving operational efficiency and reducing downtime.

This situation violates data privacy regulations as it concerns the handling of user data after device disposal. Manufacturers are often legally obligated to ensure data is properly erased to protect user privacy.

Microsoft Azure is a strong candidate due to its scalability, extensive AI services, and multi-region support. Azure offers a wide range of AI and machine learning tools, robust cloud services, and a global presence, making it a top choice for IoT products with these requirements.

IoT Protocols (such as MQTT, CoAP, or HTTP) are the components responsible for ensuring data is transmitted securely and efficiently between IoT devices and servers. These protocols define the rules and mechanisms for IoT communication, making them an integral part of IoT architecture.

IoT devices are often vulnerable when they use default passwords that are not changed. Attackers can exploit these default passwords to gain unauthorized access.

Streaming analytics in IoT is essential for predictive maintenance. It enables real-time analysis of data from IoT devices, allowing organizations to predict when equipment will fail and proactively perform maintenance, reducing downtime and costs.