What are the Benefits of AI and IoT?

With the dramatic growth of IoT, the AI more aggressive implementation throughout networks seems likely. With AI-driven tools implementation, the need for data security and privacy increases. Large companies start thinking of designing the flow of data though a myriad of AI-powered tools. Microsoft envisions the benefits of the values instituted though the application of AI tools.

Ethical values defined by Microsoft – fairness, transparency, inclusivity reliability and safety data security and privacy,  and accountability in relation to AI development could be defined through collaboration of companies that understand AI and IoT use in compliance with the regulatory environment.

While AI can be used to enhance the worldwide networks, some aspects become crucial in handling this development: growing need for data security and privacy from individual citizens to groups, large organizations and critical data at the nation state level as well as their distribution and application in real time.

These noteworthy, obvious and practical benefits of AI cooperating in an IoT environment we mention below:

Security and privacy

They are both critical, they lay in the center of the data and of its ethical approach to manipulation of data, of AI and IoT development since ever increasing security breaches at famous international organizations websites. The importance of treating this aspect seriously cannot be underestimated.

Real time for managing applications

Presently throughout the world wide networks, numerous SDN – software-defined network – deployments go live every day while advancing intelligent networking. In the complex environment of increased content over the networks, organizations learn that they can make progress in the design, development and application of the virtualized network services. The advancement is based on proper understanding and consequent application of the features of such networks: security, flexibility, speed and expansion. Therefore, real time applications in the SDNs intertwined with AI-enabled tools will permit their expansion to cloud, and the management of performance, security and their capabilities.  This trend can make those in charge of IT implementation of new AI technology start focusing on the development and implementation of a unified high-speed network which ensures optimization of applications that connect, providing reliability, security and efficiency of data at a progressively increasing scale.

 

Cory Popescu

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