UseCasesFor.ai

AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

Sign up

to receive a PDF containing all the use cases and stay updated with the latest AI trends and news (you can always unsubscribe)

Real-time two way language translation

Introduction

Language as a barrier has remained one of the major issues in the connected world we live in today given the cultural and communication divides. This is even more so in the public services sector since there is no room for communication breakdowns. Real-time two-way language translation with the help of Natural Language Processing (NLP) and Artificial Intelligence (AI) has emerged as a viable option in the public services domain. NLP AI is a branch of computer science that applies computational methods and analytical techniques to analyze, break up, and interpret language in context. In the public domain, it allows for the translation of information across various languages hence improving efficiency in the delivery of services to the public.

Challenges

There are however some challenges that affect the full potential of NLP AI in real-time translation. The complexity of languages and the context that they require is a major issue. This means that AI has a hard time understanding things such as cultural references, idioms and expressions. Also, there is the issue of speech recognition especially in noisy environments such as the public places. Also, the integration of NLP AI into existing public service systems is not an easy task because of the technical complexities involved and the risk of data theft. Fifth, there is a scarcity of standards in the training of the AI models which makes the translation quality to vary. Also, only a few languages are compatible with NLP AI since the support for most of the languages is missing.

AI Solutions

There are certain challenges that AI companies have encountered, and AI companies have come up with several solutions to these challenges. There are more advanced machine learning algorithms that are in current use such as deep learning and reinforcement learning for a better understanding of the language and context. In order to enhance speech recognition, companies such as Google have collected large data sets. In order to solve integration issues, AI companies are providing APIs that can be incorporated in any system. To ensure data security, encryption is used to secure the data. To enhance the accuracy, Microsoft is using techniques such as active learning in which the AI model is constantly being trained and enhanced. There is also a push to include more languages in the efforts.

Benefits

There are numerous advantages of applying NLP AI in real-time translation in the public sector. The most apparent advantage is the breakdown of language barriers through which public services can be provided to the public. This not only increases the chances of providing the services but also elevates the standard of the services provided. Furthermore, it also helps in better utilization of resources where human translators can work on more challenging projects. Also, since the AI models are evolving, the translations will also become more accurate and faster with time which will increase the efficiency of communication. Real-time translation in emergency situations can therefore be very helpful in increasing the response time.

Return on Investment

There are numerous benefits that can be obtained when applying NLP AI for real-time translation in public services and the ROI, return on investment can be quite high. Through increasing the access and quality of the services, public service organizations can build their reputation and the trust of the public which may translate to more funding. There is also the added benefit of reduced costs when using AI for translation as opposed to employing the services of human translators. Furthermore, the enhanced communication efficiency is that it enables better decision making and quickens the response time, which could be very useful in economic emergencies.

Choose Topic