The strong development of AI makes it a commodity, and it can be used in several fields: health, human resources, tech, etc. The company's ambition is to democratize the use of AI to make it easily accessible to all developers. The company positions itself as an aggregator operating a standardization: it gives the possibility to use several engines at the same time, as well as replacing and combining them with the greatest simplicity.
Companies are increasingly using Artificial Intelligence services, especially when it comes to automating internal processes or improving their customers' experience. The strong development of AI makes it a commodity. These functionalities can be used in several fields: health, human resources, tech, etc. These AI technologies come in various forms:Text analysis: keyword extraction, sentiment analysis, etc.Audio transcription: phone call analysis, video subtitling, etc.
In the AI sector, there are many different suppliers offering various solutions. As a result, it is complicated to correctly choose the best solution for your needs, as performance depends on the user's data. A transcription of audio into text will not necessarily be the same using Google Cloud as using AssemblyAI, for example. Indeed, depending on the language used, one provider might generate a better transcription in Spanish than the other one.
In order to demonstrate this, here are some more in-depth analyses demonstrating the difference in performance of several providers with concrete examples of data for:
Source: News Formal (newsformal.com)
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