IoT security standards primarily involve best practices and technical specifications for securing IoT devices and data, while regulatory compliance pertains to legal requirements set by authorities.

In IoT projects, the study of successful implementations to understand best practices is often referred to as "Lessons Learned." This involves analyzing successful cases to identify strategies, approaches, and practices that can be applied to future projects.

In the context of IoT device management, ensuring firmware is consistently uniform across all devices is crucial. This uniformity ensures that all devices are running the same firmware version, reducing compatibility issues, vulnerabilities, and enhancing security and functionality.

LoRa (Long Range) technology is ideal for long-range wireless communication. It's designed to provide low-power, long-range communication for IoT devices, making it suitable for applications where devices need to send data over considerable distances.

Hardcoded credentials, such as default usernames and passwords, can lead to serious security vulnerabilities. Attackers can easily guess or find these credentials, potentially compromising the IoT device and the network it's connected to.

Predictive analytics in IoT primarily focuses on analyzing historical data from IoT devices to make informed future predictions. By examining past data, IoT systems can forecast future trends, troubleshoot issues, and optimize operations.

Python is favored for data-intensive IoT applications due to its extensive libraries for data processing and analysis. It's versatile and has a large community, making it suitable for a wide range of data-related tasks in IoT. While C, R, and Swift have their strengths, Python stands out in this context.

Real-time analytics in IoT deployments relies on stream processing technology. Stream processing allows IoT systems to process data as it arrives, enabling real-time analysis, monitoring, and decision-making. It is essential for handling high-velocity data from IoT devices effectively.

In its early stages, the Internet of Things (IoT) was primarily focused on industrial automation. It aimed to improve efficiency and monitoring in various industries by connecting machines and sensors to the internet, enabling remote monitoring and control.

Proper device provisioning ensures efficient device operation. When an IoT device is correctly provisioned, it is set up with the necessary configurations and credentials, allowing it to function optimally. This includes proper authentication, network settings, and security measures to ensure the device operates as intended.