Automated Transcription

INTRODUCTION In the ever-changing banking industry, technological advancements are playing a crucial role in improving customer experiences. One of the most significant breakthroughs in recent times is the integration of multilingual chatbots and voicebots. These artificial intelligence-powered solutions are changing the way banks interact with their customers, offering personalized and efficient services across language barriers. […]

INTRODUCTION India, a diverse nation with a myriad of languages and cultures, has witnessed a remarkable transformation in its banking sector in recent years. The rise of multilingual banking is not just a trend but a necessity in a country where linguistic diversity is a way of life. As the banking industry embraces this change,

Machine learning (ML) is increasingly important in automated translation and captioning. ML-powered translation systems can now translate text and speech from one language to another with high accuracy. They can also generate captions for videos and other multimedia content. Here are some of the ways that ML is being used in automated translation and captioning:

Introduction: Transcription, the process of converting spoken language into written text, has long been time-consuming and labour-intensive. However, technological advancements have given rise to automated transcription solutions that can transcribe audio or video files with impressive speed and accuracy. In this blog, we’ll examine how automated transcription works, the underlying technologies involved, and the benefits