Melax Technologies announced the release of LANN, a text annotation, natural language processing (NLP) product for AI-assisted, team-based projects. Based on NLP and artificial intelligence (AI) technology, Melax Tech’s text annotation capabilities combine automated machine learning workflows with client input to create high-quality annotated datasets. LANN is deployed in multiple use cases in the medical field, including phenotyping algorithms, clinical chart review, and drug repurposing. LANN was developed to assist users to comb through professional journals and literature to develop a myriad of projects, within the life sciences and across commercial and academic disciplines.
LANN’s functionality supports client projects by providing a rich array of team-based communication and sophisticated quality control tools. This allows teams to review results and make adjustments that result in superior annotation outcome. The resulting datasets provide high performance including use in downstream artificial intelligence or machine-learning applications. Standard and enterprise versions allow commercial and large-scale entities to build large-team projects, programs and custom solutions. With flexible pricing options, Melax Tech provides clients with the advantage to grow research projects over time affordably. Melax Technologies also announced that LANN is available at no cost for educational projects.
Patra, a provider of technology-enabled services for the insurance industry, and expert.ai, an artificial intelligence solution for natural language understanding and natural language processing (NLU/NLP), announced a partnership that brings efficiencies to a variety of insurance processes. This partnership delivers AI-powered policy checking to the insurance market. By combing expert.ai’s technology and expertise along with the market power of the InsurConneXtions Alliance members, additional complex solutions are currently being developed for the industry.
expert.ai enables global organizations to leverage its AI-based natural language (NL) platform to automate the reading, understanding, and extraction of meaningful data from structured and unstructured text to augment and expand insights for every process that involves language. By integrating expert.ai’s AI capabilities, Patra will improve quality, reduce friction, and drive out inefficiencies in the process of manually reviewing and cross-validating dozens to hundreds of pages of text for any given policy. These capabilities will facilitate a deeper understanding of data, enabling previously out-of-reach insights due to the vast and complex nature of language semantics. With close to 80% of the information within the insurance industry being unstructured data, intelligent automation based on human-like understanding is a critical factor for increasing capacity, and reducing inefficiencies and high-risk vulnerabilities.
Franz Inc., supplier of Graph Database technology for AI knowledge graph solutions, announced AllegroGraph 7.1, which provides optimizations for complex queries across FedShard deployments faster. AllegroGraph with FedShard allows infinite data integration through unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution for Enterprise scale analytics. Big Data predictive analytics requires a data model approach that unifies typical enterprise data with knowledge bases such as taxonomies, ontologies, industry terms and other domain knowledge. The Entity-Event Data Model utilized by AllegroGraph puts core ‘entities’ such as customers, patients, students or people of interest at the center and then collects several layers of knowledge related to the entity as ‘events’. The events represent activities that transpire in a temporal context.
The AllegroGraph 7.1 release accelerates complex reasoning across enterprise-scale data by providing users with additional query options. Franz’s Research and Development team discovered an approach that can significantly improve certain SPARQL Path Expression queries across database shards. AllegroGraph’s advanced caching methods and merge join operations provide optimizations to the scalable, parallel distributed query approach that is offered via FedShard. The new release includes support for the RDF* and SPARQL* extensions and extended support for SHACL (SHApe Constraint Language).
Nuance Communications, Inc. announced the acquisition of Saykara, Inc., a like-minded startup focused on developing a mobile AI assistant to automate clinical documentation for physicians. The acquisition underscores Nuance’s ongoing expansion of market and technical leadership in conversational artificial intelligence (AI) and ambient clinical intelligence (ACI) solutions that reduce clinician burnout, enhance patient experiences, and improve overall health system financial integrity. Saykara was founded in Seattle in 2015 by Harjinder Sandhu, PhD, a serial entrepreneur who previously served as an executive in Nuance’s R&D division. Sandhu and Saykara’s team of engineers, machine learning experts, and experienced technology executives will join Nuance’s research and development team.
Ontotext and eccenca announced they have teamed up to boost the value of semantic technologies by jointly creating vertical and horizontal enterprise data solutions. eccenca Corporate Memory provides a multi-disciplinary integrative platform for managing enterprise data related rules, constraints, capabilities and configurations in a single application. By making enterprise data both machine-readable and human-interpretable, enterprises are enabled to drive agility, autonomy and automation without disrupting existing IT infrastructures. GraphDB is an enterprise-ready semantic graph database engine combined with content and data analytics capabilities. GraphDB allows users to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. GraphDB’s differentiators include integration with full-text search engines (Elasticsearch, SOLR and Lucene) and document databases (MongoDB).
Together the two companies are now offering a mature knowledge graph technology stack. They also provide custom industry solutions including Healthcare, Pharma, Automotive, Manufacturing, Financial Services and IT Management. The joint eco-system of Ontotext and eccenca also includes the ability to globally deliver custom solutions. Consulting partners of both companies include ATOS, BearingPoint, Capgemini, Deloitte, Fujitsu, InfoSys, NTT Data (Everis), MHP, PWC, Tata and Wipro. Both companies have been enabling enterprises to overcome complexity by digitally documenting and automating knowledge management.
Alchemy Software Development, provider of visual software localization solutions and a division of TransPerfect, marks its 20th anniversary with the release of Alchemy Catalyst 2021, the latest iteration of its enterprise translation platform. Already recognized for its support of software formats in the industry, Alchemy Catalyst 2021 adds several features and capabilities for translators to streamline the localization process.
Alchemy Software Development’s Catalyst platform offers software localization solutions for multinational organizations looking to expand applications into new markets. Visual reporting tools help accelerate the localization process, while advanced translation memory technology increases overall translation accuracy and reduces implementation costs and timelines. With faster performance as a core design goal for this release, Alchemy Catalyst 2021 includes:
- A new Project Manager feature, which allows the user to see statistics for multiple translation tool kits without opening them
- The ability to sort and filter validation errors with the Validation Expert tool
- Support for native RoboHelp and EPUB formats, adding to Catalyst’s existing native support for MadCap project files
Pryon, an artificial intelligence (AI) company focused on enterprise knowledge, launched an automated natural language processing (NLP) platform that allows companies to add no-code AI capabilities to initiatives without professional services or special skills. Pryon’s ease of use allows teams to quickly prototype and deploy NLP projects without significant upfront commitments or planning cycles. This release of Pryon’s AI platform provides NLP that reads, organizes, and retrieves information. It can process repositories of documents, communications, intranet content, transcripts, and web pages in minutes. It then delivers results to natural language questions through text or voice interactions in an instant.
Today’s AI assistants and chatbots can only respond to a limited set of requests. In addition, search results require too much work by users to find relevant information. Pryon’s AI enables both a better understanding of requests as well as more accurate responses. With Pryon, companies can easily and quickly extend existing assistants and chatbots to answer millions of questions. They can also enhance search capabilities to deliver results from inside source documents along with additional context. Pryon’s fully automated NLP platform is now available as a cloud-based offering for enterprise customers.
Translations.com announced its certification of Contentserv’s integration for GlobalLink Connect. The certified solution gives users a new way to leverage GlobalLink Connect’s translation workflow management while creating and processing translation requests within an interface familiar to Contentserv users. Contentserv’s integration with GlobalLink Connect provides an all-in-one solution to initiate, automate, control, track, and complete all facets of the translation process. Contentserv’s product experience platform combines with GlobalLink Connect’s extended localization workflow capabilities to create a seamless plug-and-play content management solution with minimal effort. Contentserv combines Product Information Management (PIM), Master Data Management (MDM), and Marketing Experience Management (MXM) to give brands and retailers the ability to offer high-quality and engaging end-to-end product experiences. By leveraging GlobalLink AI, Contentserv customers can reduce costs and project timelines while maintaining quality control over translations. The integration allows users to:
- Save time and money when translating content
- Streamline the translation process for all product content across all sales channels
- Schedule and request on-demand translation via the Contentserv UI
- Gain transparency of translation spend, turnaround time, and other KPIs
- Optimize internal or external vendor management
- Utilize flexible workflows using machine translation, human translation, or both
- Achieve ROI via reduced IT involvement and project management overhead