The Evolution Of AI: Progression From The Internet Of Things

Forbes - Feb 10th, 2025

Lee-Lean Shu, CEO of GSI Technology, draws parallels between the evolution of Artificial Intelligence (AI) and the Internet of Things (IoT). He notes that while IoT's growth was a gradual, bottom-up process, AI is advancing much faster. IoT initially focused on remote control and data collection, which evolved into data analysis and intelligence generation. AI is building on this foundation, not just analyzing data but also predicting and creating new solutions tailored to user needs. This capability is transforming how businesses and industries can make data-driven decisions, with AI systems incorporating real-time analysis and decision-making abilities.

The implications of AI's rapid development are profound, as it continues to redefine information processing and application areas such as autonomous driving, robotics, and industrial operations. These advancements require high performance at the edge, where data is generated, necessitating low power consumption for scalability. As AI applications expand, they promise to bring transformative changes to daily life and industry, building upon the IoT's legacy of optimizing operations and enhancing efficiency. The insights from IoT's journey offer a glimpse into AI's potential trajectory and its significant impact on the world.

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RATING

6.2

Moderately Fair

Read with skepticism

The article provides an insightful overview of AI's progression, drawing parallels with IoT development. It effectively communicates the potential of AI technologies but falls short in providing empirical evidence and diverse perspectives. The lack of source citations and critical viewpoints limits its accuracy and balance. However, the article is timely and relevant, addressing a significant public interest topic. Its clarity and readability make it accessible, though it could benefit from a deeper exploration of controversial aspects to enhance engagement and impact. Overall, the article serves as a useful introduction to AI's potential but would be strengthened by a more comprehensive approach.

Accuracy

The article makes several factual claims about the progression of AI and its similarities with IoT development. It correctly identifies the stages of IoT development, such as the initial focus on remote control and data collection, followed by data analysis and intelligence generation. However, some claims, like AI's faster progression compared to IoT, require empirical evidence for verification. The article lacks specific examples or data to substantiate these claims, which affects its precision and verifiability.

Balance

The article predominantly presents a positive outlook on AI's progression, paralleling it with IoT's development. It does not explore potential challenges or negative impacts of AI, such as ethical concerns or data privacy issues. This one-sided perspective may lead to an imbalance in the presentation, as it omits important viewpoints that could provide a more comprehensive understanding of AI's impact.

Clarity

The article is generally clear and well-structured, with a logical flow of ideas. It effectively communicates the parallels between AI and IoT development stages. The language is accessible, making the complex topic understandable to a general audience. However, some technical terms related to AI and IoT might benefit from further explanation for readers unfamiliar with the subject.

Source quality

The article is authored by Lee-Lean Shu, CEO of GSI Technology, which lends some authority to the discussion on technology. However, it does not cite external sources or studies to support its claims. The lack of diverse and independent sources raises questions about the reliability and impartiality of the information provided.

Transparency

The article lacks transparency in terms of disclosing the basis for its claims. It does not provide methodological explanations or cite data sources that could substantiate its assertions about AI and IoT developments. Additionally, potential conflicts of interest, given the author's position in the technology industry, are not addressed, which could impact the perceived impartiality of the article.