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Blockchain, IoT, Artificial Intelligence: integrating to optimize business processes.

Fabio LonardonibyFabio Lonardoni
26 August 2021
in Real Applications
Reading Time: 3 mins read
A A

Technologies such as blockchain, IoT, and artificial intelligence are creating a highly innovative context that is driving organizations to improve their business processes and build new models that will undoubtedly disrupt numerous sectors.

With blockchain, we can improve four fundamental pillars of business processes: trust, transparency, security, and privacy.

Thanks to IoT, we can develop industrial automation, making our industries’ business processes more efficient.

With artificial intelligence, we can improve processes by identifying, optimizing, and applying new decision-making models.

It’s easy to see how these three technologies can be integrated to form a true digital ecosystem where blockchain provides the infrastructure with the rules of the game, IoT feeds the system with a vast amount of data, and artificial intelligence optimizes processes and rules thanks to cognitive adaptation functions based on data.

Integration is therefore the key to unlocking the full potential of these new technologies, bringing numerous advantages in data management, identity management, and process automation.

Since IoT sensors typically collect large amounts of non-standardized data, and artificial intelligence applies decision-making models to them, it is essential to mitigate the risks associated with the exponential growth of complexity that directly affects the system’s trust.

It is necessary to standardize and harmonize data collected from different sources to optimize the ecosystem, but at the same time, it is also necessary to monitor the decision-making engine to ensure that it reflects reality.

Blockchain is the keystone as it allows data to be stored in a single format, bringing standardization to the information collected from multiple sources, and through its immutable registries, it will be possible to observe the decisions made by the AI engine with respect to the numerous evolutions and combinations of data.

With the appropriate configuration of the blockchain, which through its immutable records allows for step-by-step verification of the evolution of millions and millions of data over time, it will be possible to develop an exponential growth in the trust of the digital ecosystem with respect to potential tampering risks.

Trust is a fundamental pillar of the integration of these three technologies because people and companies will never start using these technologies if they do not actually understand how they work.

The privacy and security of data remain guarantees that must be offered to fuel these digital platforms. In order to identify potential illicit activities while ensuring privacy, the potential of artificial intelligence can be used to increase security by identifying potential illicit activities resulting from the anonymity of transactions.

Blockchain, IoT, and AI are innovations that provide enormous benefits for the security, transparency, immutability, privacy, and automation of business processes. However, the impact of these technologies becomes greater when they converge together into a single ecosystem.

These innovations will converge in the future, driving the digitalization of industries and increasing the quality of data evolution, achieving a higher degree of standardization, privacy, and security. These new technological ecosystems will pave the way for a new digital era.

Tags: AIArtificial intelligenceBlockchainBusinessesData managementPoSTransactionTrust
Fabio Lonardoni

Fabio Lonardoni

I have more than 10 years of experience in working for IT consulting companies. My priority has always been to make my customers successful in each goal they want to achieve. There is nothing better than the feeling you have once you have created business opportunities and your customer is fully satisfied. I’ve worked as a developer, analyst and project manager in different projects related to the Telco, Retail and Financial industries. I have gained strong experience in change management and project governance and have developed passion for AI, RPA, Analytics & IoT Today I’m an innovation business manager and I’m responsible of a business unit with focus on analysis, development and quality assurance. In search for new goals to be achieved and responsibilities to take, I would like to use my experience in helping companies to make the best out of the available ICT digital solutions.

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