By nature, human language is complex. To understand human speech, a technology must understand the grammatical rules, meaning, and context, as well as colloquialisms, slang, and acronyms used in a language. Natural language processing (NLP) algorithms support computers by simulating the human ability to understand language data, including unstructured text data. The 500 most used … Continued
Machine learning (ML) is inevitable for the enterprise business. Your organization has either already adopted it in some capacity or will be in the near future. That is good news in that companies are recognizing the need to generate value from their data. On the other hand, these companies are adopting technology that requires resources … Continued
There are two foundational approaches to addressing natural language (NL) solutions: a symbolic, rule-based approach and a pure machine learning approach. Both come with their own set of advantages and disadvantages. While many view these approaches as competing ideologies, they are actually ideal complements to one another. In this NLP Stream, Anton Zykov will dispel … Continued
The beauty of language lies in its complexity. And you can pack a lot of complexity into just one sentence, including everything from relations, anaphora, logic and inference. Unfortunately, AI systems continue to struggle with many of these aspects. Watch Antonio Linari as he explores how a good old fashioned AI model compares to a … Continued
Natural language processing and understanding (NLP/U) technologies are used across countless industries to help understand text-based documents and extract key information from them. In this live stream, José Manuel Gómez Pérez focuses on three domains in which NLP/U technologies are proving to be both novel and impactful: earth sciences, misinformation detection, and science and engineering … Continued
More and more, people are making decisions as much with their hearts as they are their minds. Be it a consumer product or business investment, purchase decisions are no longer based solely upon the cost and quality of a product or service. Instead, buyers are weighing environmental, social and governance (ESG) criteria heavily into their … Continued
Explainability is indispensable to enterprise artificial intelligence (AI) applications. It directly impacts the business value generated from AI technologies and their overall sustainability. There are numerous reasons organizations must provide explainability. The most immediate reason pertains to regulatory compliance. There are several regulations that mandate organizations explain the results of AI processes resulting in decisions … Continued
Once considered the technology of the future, artificial intelligence has quickly become a foundational component of the modern enterprise business. In the past four years alone, AI has grown by 270%. As if that was not convincing enough, 93% of US and UK organizations consider AI a business priority. But despite the actual adoption of … Continued
Expert.ai is a leading provider of enterprise AI solutions, empowering organizations to unlock business value through advanced artificial intelligence. Industry leaders, such as Sanofi, New England Journal of Medicine, EBSCO, 3M Health, and INSERM, rely on expert.ai to gain the most insights from all their information assets to improve R&D productivity, enhance the quality of … Continued
Widespread Recognition Continues for Leader in Hybrid AI Natural Language UnderstandingExpert.ai (EXAI:IM), the leader in artificial intelligence (AI) for language understanding, has been named the winner in the 6th Annual FinTech Breakthrough Awards for “Best Use of AI in FinTech.” Attracting nearly 4,000 submissions from across the globe, the program is conducted by FinTech Breakthrough, a … Continued
