Thu. May 30th, 2024

Digital twins are seen as a disruptive technology with significant potential for companies. It is predicted that investment in digital twins will reach over $2.23 billion by 2025, particularly in fields such as logistics and retail. This technology aims to simplify processes, improve decision-making, and increase efficiency in human work. Digital twins use Natural Language Processing (NLP) technology to interpret and imitate human language. NLP technology allows machines to learn language patterns and generate their own scripts.

However, one of the limitations of NLP technology is that it needs to be trained with a database similar to real-world language variations. It may struggle with idioms or jargon that it has not been specifically trained on. Despite this limitation, the future of NLP technology is expected to provide more realistic and functional conversations, offering numerous benefits for businesses.

By 2025, the turnover of NLP technology and artificial intelligence (AI) is estimated to exceed $43 billion. In the context of cargo transportation security, digital twin technology combined with NLP can be a valuable tool. An AI-based algorithm can predict unsafe routes and times for carriers and a virtual assistant can communicate this information to operators to change routes. However, there is still hesitance among operators and monitors to interact with such algorithms, as they are unsure of the benefits it can bring to their work.

The adoption of digital twin and NLP technologies in Mexico is lagging behind compared to the United States, with a delay of five to ten years. This is likely because Mexico tends to implement tools that have already been successful in other regions. The challenge for the country is to embrace these technologies as they continue to develop and overcome the fear of doing things differently.

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