Expert.ai announced that its natural language (NL) API providing deep language understanding is now available in the AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). NL API is a powerful way to structure unstructured language data leveraging deep language intelligence with minimal effort. The API identifies which meaning of a word is used in context ("disambiguation") to quickly analyze text for key elements, relations, classifications and more. It can also determine sentiment and even capture a range of 117 behavioral and emotional traits, providing the richest, most comprehensive and granular emotional and behavioral taxonomy available throughout the AI-based API ecosystem. Furthermore, using built-in technologies and its extensive knowledge graph, the expert.ai NL API can be used in more targeted ways to identify sensitive data (to protect customers, victims, users or research subjects, as well as to comply with data privacy regulations), media-related topics, geographical taxonomies and more.

Studies show that if we listen to a 10-minute speech, on average, we retain 50% of it initially, 25% after 48 hours, and only 10% after a week. In short, we hold on to a very limited amount of what we hear. It's not difficult to see how this cognitive limit can cause inefficiencies in scenarios where listening is key. Additionally, personal biases have an impact on what we grasp from verbal communication. Not to mention all the distractions that constantly interfere with our ability to focus on a conversation.

The global Artificial Intelligence company Expert System announced the release of the expert.ai NL API, the cloud-based Natural Language API that enables data scientists, computational linguists, knowledge engineers and developers to easily embed advanced Natural Language Understanding and Natural Language Processing capabilities (NLU / NLP) into their applications. This release is the first step in executing on the company's strategy to become the global platform of reference for AI-based Natural Language problem solving. The growing need for accessible and accurate AI-based NLU / NLP applications in the enterprise places increased demand on the developer ecosystem to bring speed, scale and precision to linguistic analysis. According to Gartner, "during recent years, advances in the application of machine learning (including neural networks) and knowledge graphs to natural language processing have enabled machine-based attribution that diminishes the need for human oversight. Application of the technology is broadening as well as deepening -- across industries and functional domains, and into use cases -- pushing this innovation from many years in the Tough of Disillusionment toward the Slope of Enlightenment."