Category: Semantic technologies (Page 3 of 72)

Squirro, an Augmented Intelligence solutions provider, announced a global partnership with knowledge graph provider the Semantic Web Company, creating a “Composite AI” proposition. The new Composite AI solution delivers Machine Learning (ML), Natural Language Processing (NLP), and knowledge graph technology, and marries content with a user’s intent and context to intelligently augment decision-making.

ML creates and identifies signals but doesn’t take into account the representation of knowledge and reasoning behind it. The full picture – expanded queries and results – gives a greater understanding. The Semantic Web Company and Squirro partnership expands the scope and quality of AI applications by delivering that deeper understanding.

Squirro’s Insight Engine provides NLP and ML to classify the content on a sentence level according to the user’s intent. It provides a user-friendly interface and learns from the interaction what the user is looking for and the context of their search. This is aligned with the Semantic Web Company’s knowledge graph technology – known as PoolParty – which connects people and intent with data. This enriches content with domain knowledge and serves as a context engine. It contextualizes concepts from the content and links them to other meaningful concepts and contents to extend the search results.

https://squirro.com ■ http://www.poolparty.biz

Expert.ai updated its natural language (NL) platform. Combining machine learning (ML) and symbolic knowledge representation (Hybrid AI), the updated platform facilitates the design, development and deployment of language models, and accelerates production of enterprise applications, through accurate language understanding. Upgrades include:

• Knowledge models fortified: Built in pre-trained rules-based models contain expanded industry, role and use-case concepts, and relationships to improve the accuracy of natural language (NL) projects. Other model enhancements include updated environmental, social, governance (ESG) classification and sentiment, and Personally Identifiable Information (PII) extraction.
• New solutions for pharma & life science: Additional knowledge models support solutions for drug discovery, clinical trial insights, opinion leader identification, and scientific publication insight analysis. A new preclinical report analysis solution speeds up the quality control check process of reports prior to their submission to regulatory bodies.
• AI-driven Robotic Process Automation (RPA): The NL, hybrid platform integrates with UiPath, Blue Prism and Automation Anywhere, expert.ai supercharges bots with NL capabilities by merging different AI techniques. This expands the scope of intelligent process automation across tasks.
• Expanded deployment options: The expert.ai Platform now supports on-premise deployments of NL workflows for.
• New operational monitoring dashboard: Delivers improved visibility to operational metrics associated with language operations (LangOps).

https://www.expert.ai

AppTek and expert.ai announced they have entered into a strategic technology partnership to bring AI-based text analytics to dynamic audio content in multiple languages. The partnership leverages AppTek’s Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT) technologies with expert.ai’s natural language understanding capabilities to enable organizations to leverage audio content in the unstructured data sets that they manage for improving decision making and augmenting intelligent automation.

As organizations increasingly utilize language data—emails, documents, reports and other free form text— for an ever-growing range of enterprise use cases (knowledge discovery, contract analysis, policy review, email management, text summarization, classification, entity extraction etc.), natural language capabilities will play a critical role in powering any process or application that relies on unstructured language data. The combined capabilities of AppTek and expert.ai supercharge enterprise and government NLU and NLP applications, expanding the data types and sources available for analysis to provide even more informational output.

Using AppTek’s speech-to-text technology within the expert.ai Platform, organizations can automatically transcribe audio types from different sources, including high-quality media broadcast content, podcasts, meetings, one-to-one interviews or even low bandwidth telephone conversations. In addition, they can leverage advanced multilingual functionalities to generate accurate, customizable and scalable translations across hundreds of language pairs.

https://www.apptek.com/ ■ https://www.expert.ai/