La veille de la cybersécurité

Imagine having an artificial intelligence (AI) system that is capable of mimicking human language and intelligence. Given AI's capabilities, it seems simple, right? Despite recent advancements in AI (especially in the fields of natural language processing (NLP) and computer vision applications), mastering the unique complexities of human language continues to be one of AI's biggest challenges. According to IDC, worldwide revenues for the AI market are forecast to grow 16.4 percent year over year in 2021, as the market is expected to break the $500 billion mark by 2024. As companies continue to develop and deploy AI solutions to automate processes, solve complex problems and enhance customer experiences, many are realizing its shortcomings -- including the amount of data required to train machine learning (ML) algorithms and the flexibility of these algorithms in understanding human language.