The Result of Converging Blockchain, IoT, and AI

The inevitable convergence of blockchain, IoT, and AI has the potential to create a powerful mix of security, interconnectedness, and autonomy that will alter the way things get done.

Fremont, CA: The digital revolution of the post-pandemic period is being driven by blockchain, the internet of things (IoT), and artificial intelligence (AI).

The inevitable convergence of blockchain, IoT, and AI has the potential to create a powerful mix of security, interconnectedness, and autonomy that will alter the way things get done.

'Synergy' is a term that refers to a partnership of entities that produces a far higher influence than the individual entities could make on their own. The convergence of blockchain, IoT, and AI is just that: a collection of technologies with the potential to radically alter the way organizations, industries, and even economies operate. A few applications and concepts have already benefited from the convergence of these technologies, with promising outcomes. One example is AI and blockchain to control UAV air traffic, which makes mass autonomous flying safer. The use of it alone, if realized, will reshape a variety of sectors, including aviation and logistics. As a result, it's not difficult to envisage the impact that combining blockchain, IoT, and AI may have on the globe. To grasp the ramifications of this technology alliance, it is necessary to understand what each of these technologies brings to the table.

The Result of Combining Blockchain, IoT, and AI Altogether

The convergence among blockchain, IoT, and AI may help enterprises utilize the benefits of each technology while avoiding the dangers and limits that come with them. Because IoT networks consist of many linked devices, there are multiple weaknesses in the network that make it vulnerable to hacker assaults, fraud, and data theft. AI-driven by machine learning can proactively protect against malware and hacker assaults to avert security vulnerabilities. Blockchain can improve the network and data security by limiting unauthorized access to and change of data on the network. AI may also improve the IoT network's functional capabilities by making it smarter and more autonomous.

Fujitsu's algorithm to assess workers' heat stress levels is one possible example of the confluence of blockchain, IoT, and AI. Using IoT devices and sensors, the algorithm continually analyses employees' physiological data such as temperature, humidity, activity levels, pulse, and so on to measure the association between different conditions and workers' health. The analysis can assist the organization in improving working conditions for employees and preventing them from developing severe work-related health disorders. The inclusion of blockchain in this system can aid in tracking more tailored data while guaranteeing privacy, or it can assist in the disbursement of health insurance funds via smart contracts. Although the anticipated effect of blockchain, IoT, and AI is intriguing to consider, the actual uses of these technologies are far from flawless.