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I entered into IoT field by studying the marvels of Wireless Sensor Networks. This is a pretty interesting field where to start, as long as it is taken as an utopical view, and IoT is taken as a more pragmatic one. Studying and understanding more on energy consumption for battery solutions, and having the right tools to work on this case is also a basic in the IoT field.

From my professional experience, it's crucial to identify and prioritize quick wins during IoT implementation. Often, organizations aim for ambitious, long-term projects that may not yield immediate results or ROI. Instead, focusing on areas where the company incurs repetitive costs can lead to faster, more tangible benefits. By addressing these frequent and costly tasks first, companies can demonstrate early success, justify further investment, and pave the way for more impactful IoT initiatives.

My professional advice would be: 1: Understand IoT Devices: Learn how sensors and actuators in IoT devices interact with their environment and other devices. 2: Internet Connectivity: Ensure IoT devices are connected to the internet for seamless data transmission. 3: Centralized Data Analysis: Use a centralized platform to analyse data collected from IoT devices. 4: Enhance Network Management: Leverage real-time data processing to improve network management and predictive maintenance. 5: Service Personalization: Utilize IoT data to customize services, enhancing operational efficiency and customer experience.

My professional advice would be: 1: Deploy Network Sensors: Place sensors across your network infrastructure to monitor performance metrics. 2: Real-Time Monitoring: Track signal strength, bandwidth usage, and latency in real-time. 3: Identify Issues Early: Use the data to spot and resolve potential problems before they impact customers. 4: Smart Data Routing: Implement IoT-enabled smart routing to reduce congestion. 5: Enhance Network Resilience: Improve network resilience for maintaining high-quality service.

Keeping metrics for IoT devices transmission quality (missing expected packages, signal strength, Signal/Noise Ratio, etc) can give crucial information on the deployment of an IoT System, which is not obvious at common sight. Data sinks placement, auxiliar retransmitters and the need of additional data sinks, and particularities on a specific deployment can be easily distinguised with a good logging system and realtime charting of metrics.

Studying IoT data can reveal valuable insights into your customers' pain points and highlight areas where costs can be reduced or product features can be optimized. This deeper understanding enables more efficient resource allocation and improved service offerings, ultimately driving customer satisfaction and loyalty. But don't be creepy!

My professional advice would be: 1: Utilize Smart Devices: Deploy smart devices in customer environments to collect data on usage patterns and service quality. 2: Analyse Equipment Performance: Monitor performance metrics of customer equipment. 3: Understand Customer Needs: Use data analysis to gain insights into customer needs and preferences. 4: Tailor Services: Customize services based on the gathered insights. 5: Proactive Issue Resolution: Detect and resolve issues remotely, enhancing customer satisfaction and loyalty.

Be prepared to create solutions where the data is processed in an easy way for customers, as IoT data can become extremely dense and plentiful. Mobile applications need to digest all that data on useful interfaces and graphics for the user, or else it won't be useful at all.

The key to maximizing cost reduction through IoT is to start with a detailed audit of operational expenses. Identifying areas with the highest costs and potential inefficiencies provides a clear roadmap for IoT implementation but must also be weighed against implementation effort. By targeting these high-impact areas first, companies can achieve quick wins and demonstrate the value of IoT. Moreover, continuously monitoring and analyzing IoT data can uncover new opportunities for further cost and time reductions, ensuring that the benefits of IoT are actually realized and sustained. This is heavily apparent in industries that typically require remote hands.

In my experience, treating all communications as if they are on an open network and using SD-WAN can significantly improve security. In Industrial IoT, older equipment may not support modern IT security policies, such as OS upgrades. Therefore, IT and development teams must work together to maintain both operability and security, ensuring business continuity while safeguarding against threats.