Document AI, also known as Document Automation, is a technology that automates the processing and analysis of documents. Aimate offers various types of Document AI services to meet your needs.
Assigns predefined labels or categories to images, making it possible for machines to recognize and classify objects or scenes.
NER is a natural language processing feature that identifies and classifies named entities within text. These entities can include names of people, organizations, locations, dates, and more.
KPE is the process of automatically extracting keywords or key phrases—the most significant and pertinent terms that encapsulate the core of the text—from a given text.
Classification of Text in a Document Using AI, models are trained to classify text material into pre-established groups. It predicts the category of new documents by analyzing characteristics in labeled training data through machine learning. This automation improves efficiency when handling different types of written data by streamlining the organizing, sorting, and retrieval of documents.
At Aimate, Our goal is improved accuracy that you can rely on. We can guarantee that our clients obtain accurate translation and interpretation services for their needs thanks to the use of contemporary technologies. Our technologies encompass a broad range of instruments and methodologies, such as content management systems, machine translation tools, Computer-assisted translation tools, and translation management system-related methodologies. Because of our improved quality assurance procedures, we are now able to provide both qualified and non-certified translators with high-quality translation and virtual interpretation services.
Building and localizing AI-enabled speech models offer numerous advantages for businesses and organizations. These models enhance accuracy, usability, and the overall customer experience. If you are seeking to enhance how your users engage with your technology, it is worth considering the development and localization of AI-enabled speech models.
Computer vision is a field within the realm of Artificial Intelligence that aims to teach machines the ability to perceive, comprehend, and interpret the visual world in a manner similar to humans. It plays a crucial role in the development of machine learning models, enabling them to effectively analyze, recognize, and categorize objects within images or videos on a significantly larger scale and at an accelerated pace.
Building and localizing AI-enabled speech models offer numerous advantages for businesses and organizations. These models enhance accuracy, usability, and the overall customer experience. If you are seeking to enhance how your users engage with your technology, it is worth considering the development and localization of AI-enabled speech models.
If you need assistance with digitizing, sourcing, classifying, and de-identifying your healthcare datasets, please don't hesitate to contact us. Our services can help enhance the efficiency and accuracy of your data processing while contributing to the advancement of healthcare AI.
Have you ever pondered how artificial intelligence (AI), machine learning (ML), and computer vision-based machines can proactively recognise video-specific things and take appropriate action? The use of video annotation in this situation enables intelligent systems to recognise and classify objects, patterns, and other things based on the labelled data that is provided to them.
