AI is transforming sectors all over the globe, and arguably the most impacted industry is that of finance, considering the multitude of applications from fraud management to credit analysis. One such “quiet revolution” that changes the financial landscape is annotated data for financial AI algorithms. The banking industry in the US heavily relies on credit... Continue Reading ![]()
Like many countries worldwide, France is experiencing the adoption of transformative technologies, particularly artificial intelligence (AI). What distinguishes France, however, is the rapid growth of its e-commerce sector, which is being enhanced by AI technologies such as automation, intelligent inventory systems, and personalized user experiences driven by data algorithms and user profiling. A crucial yet... Continue Reading ![]()
The importance of getting better data would appear impossible to dispute in the frenzied field of artificial intelligence (AI). All AI and machine learning models are heavily dependent on how much-labeled data is available. This is where data annotation comes into play and why data annotation services are extremely coveted by AI data preparation service vendors. Moreover,... Continue Reading ![]()
Due to the simultaneous expansion of artificial intelligence and machine learning, there has been a growing need for both correct and relevant training data. This crudely annotated labeled data is the foundation that AI models learn from and get trained on. With India emerging as an AI powerhouse, classified labeled data has become a crucial... Continue Reading ![]()
Despite its lack of glamour, data annotation is quietly emerging as one of the key areas of competition in a world where AI technology and its rapid development have become increasingly competitive. Individuals and large organizations alike face significant challenges due to outsourcing obligations in a world where backup responsibilities increasingly burden data annotation. The... Continue Reading ![]()