Data Processing

Introduction In today’s world, data is king, and the rate at which it’s being generated is unprecedented. The rapid growth of the Internet of Things (IoT) has led to a significant increase in data generation, with over 41.4 billion IoT devices expected to be connected by 2025 (Source: IDC). Edge computing has emerged as a solution to this problem, enabling data processing closer to the source. However, what are the alternative solutions to edge computing? In this blog post, we’ll explore the options available, their benefits, and their limitations. ...

Introduction In the realm of data processing and natural language processing (NLP), tokenization strategy plays a crucial role in converting raw data into meaningful and structured information. Tokenization, the process of breaking down text into individual words or tokens, has numerous application scenarios, transforming the way we process, analyze, and extract insights from data. According to a study by MarketsandMarkets, the NLP market is expected to grow from $3.4 billion in 2020 to $13.9 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 21.5%, highlighting the significance of tokenization in the industry. In this blog post, we will delve into various application scenarios that showcase the power of tokenization. ...