The Intersection of AI and IoT: Shaping Tomorrow's Technology

Friday, 18 October 2024, 15:45

AI has reshaped the landscape of the Internet of Things (IoT). As AI emerges as a dominant force in technology, IoT quietly evolves, reinforcing its role as data gatherer. Together, they conceal a transformative potential for industries and cities alike.
Financialexpress
The Intersection of AI and IoT: Shaping Tomorrow's Technology

AI's Dominance in IoT Evolution

AI has dramatically reshaped the Internet of Things (IoT) landscape. With its emergence as the dominant force in technology, IoT has quietly evolved, reinforcing its role as a data gatherer. This synergy is giving rise to an exciting concept: Artificial Intelligence of Things (AIoT), projected to grow significantly.

The Partnership Between AI and IoT

The IoT framework mainly serves as the eyes and ears of technology, collecting data and providing essential input. In contrast, AI transforms this data into real-time decisions and predictions, showcasing its value across sectors like healthcare and smart cities.

Data Growth and Market Potential

  1. Global interactions of IoT devices are forecasted to exceed 18 billion by 2024.
  2. Alongside is the rapid growth of the AI market, enticing investments as businesses seek quick returns.
  3. The partnership of IoT and AI highlights a future driven by smart governance for civic engagement.

Challenges in IoT Deployment

Despite potential, India’s IoT rollout has faced hurdles, primarily concerning timely policy adaptations and regulatory frameworks. The lack of cohesive governance frameworks raises vulnerability to cyber threats.

Collective Potential for Human Society

In a world suffused with sensors, it is crucial for AI and IoT to work synergistically. Successful integration supports more informed decision-making, enhancing both governance and the quality of life.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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