Category: Semantic technologies (Page 11 of 72)

Our coverage of semantic technologies goes back to the early 90s when search engines focused on searching structured data in databases were looking to provide support for searching unstructured or semi-structured data. This early Gilbane Report, Document Query Languages – Why is it so Hard to Ask a Simple Question?, analyses the challenge back then.

Semantic technology is a broad topic that includes all natural language processing, as well as the semantic web, linked data processing, and knowledge graphs.

Microsoft acquires Nuance

April 12, 2021 / NewsShark

Microsoft Corp and Nuance Communications, Inc. announced they have entered into a definitive agreement under which Microsoft will acquire Nuance for an all-cash transaction valued at $19.7 billion, inclusive of Nuance’s net debt. Mark Benjamin will remain CEO of Nuance, reporting to Scott Guthrie, executive vice president of Cloud & AI at Microsoft. The transaction is intended to close this calendar year.

Nuance is a provider of conversational AI and cloud-based ambient clinical intelligence for healthcare providers. Nuance’s products include the Dragon Ambient eXperience, Dragon Medical One and PowerScribe One for radiology reporting, all clinical speech recognition SaaS offerings built on Microsoft Azure. Nuance’s solutions work with core healthcare systems, including longstanding relationships with Electronic Health Records (EHRs), to alleviate the burden of clinical documentation and help providers deliver better patient experiences.

Microsoft’s acquisition of Nuance builds upon an existing partnership announced in 2019. By augmenting the Microsoft Cloud for Healthcare with Nuance’s solutions Microsoft will be better able to empower healthcare providers through ambient clinical intelligence and other Microsoft cloud services. Beyond healthcare, Nuance provides AI expertise and customer engagement solutions across Interactive Voice Response (IVR), virtual assistants, and digital and biometric solutions to companies in all industries. This expertise will come together with Microsoft’s cloud, including Azure, Teams, and Dynamics 365, to deliver next-generation customer engagement and security solutions.

https://news.microsoft.com/2021/04/12/microsoft-accelerates-industry-cloud-strategy-for-healthcare-with-the-acquisition-of-nuance/ ▪︎ https://www.nuance.com/

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Cortical.io announced Message intelligence 2.1

April 7, 2021 / NewsShark

Cortical.io announced Message intelligence 2.1, an intelligent document processing solution (IDP) that provides high accuracy in filtering, classification, and extraction of emails, attachments, and other types of unstructured documents. Leveraging Cortical.io’s method for natural language understanding (NLU), Message Intelligence 2.1 enables higher productivity, fewer false positives, and less manual intervention. It also requires far less material to train custom classifiers and extraction models, speeding up time to production/value. This is valuable around situations where there is a lack of training material.

The product allows a user to easily create pipelines to intelligently process documents. A key capability of Message Intelligence 2.1 is that it allows a subject matter expert to easily create pipelines with components including inputs, filters, classifiers, extractions, and actions. The product comes with tools for building classifiers and extraction models, so that subject matter experts do not need the intervention of AI experts or data scientists to adapt the system to the specific classification and extraction needs of their organization. Cortical.io’s Message Intelligence solution is especially useful in situations where large quantities of messages and documents come in daily through emails, website submissions or social media. Pricing based on volume of emails and/or documents processed.

https://www.cortical.io

Boostlingo now in Zoom App Marketplace

March 31, 2021 / NewsShark

Boostlingo, a provider of SAAS-based interpreting technology solutions for global language access, announced its addition to the Zoom App Marketplace. Zoom Meetings that requires foreign language support will be able to add professional interpreters directly into their Zoom Meetings experience. Professional remote interpreters accustomed to using the Boostlingo platform can now be added on-demand into the Zoom environment. The Boostlingo platform supports a network of 8000+ certified interpreters and 300 spoken word languages and multiple sign languages. Boostlingo will enable you to:

Configure Zoom services for your Zoom accounts – Zoom’s configuration policies allow you to create Zoom access for your clients.
Allow your client accounts to register their Zoom instance with Boost – Your client’s Zoom administrators can authenticate their account with Boostlingo, and all of your client’s supported users will be automatically enabled.
Boostlingo supports Zoom authentication – Boostlingo can support authentication at both the organizational level and at the individual user level.
Add VRI interpreters On Demand – Once the configuration is done, interpreters receive interpretation requests like they normally do and when answered on the web, they will be automatically joined into a Zoom session. Use your own interpreter team members or enable the Boostlingo Professional Interpreter Network (BPIN) to take the call for you.
Full back-end reporting – Boostlingo captures all the same important call data that a regular Boostlingo interpreting session collects.

https://www.boostlingo.com

SciBite launches AI-driven semantic search platform

March 31, 2021 / NewsShark

SciBite, an Elsevier semantic technology company, announced the launch of SciBiteSearch, a scientific search and analytics platform that offers interrogation and analysis capabilities across unstructured and structured data, from public and proprietary sources. SciBiteSearch provides scientists with access to domain specific ontology and AI-powered search capabilities.

SciBiteSearch uses knowledge graphs to augment searches and deliver not only items relevant to the query but the structure and relationship between them. The addition of AI enables natural language understanding. SciBiteSearch can integrate data across a range of use cases including:

Unify multiple data sources into a single solution, designed for departments wanting their own tailored search tool. For example, combining public biomedical literature, clinical trials, and grants with proprietary data.
Incorporate full-text biomedical literature from publishers to better address researchers’ discovery needs. For example, users can load subscribed licensed data from partner publishers or content brokers.
Enable users to get accurate search results without the need to understand the complexities of Named Entity Recognition (NER), its underlying data structures, or the functions required to surface.

SciBiteSearch creates sophisticated query and assertion indices created using SciBite’s tools and ontologies. A streaming load API, connectors, and parsers for different sources and content types let it load and process content to make it searchable.

http://scibite.com/scibitesearch

Arthur releases NLP model monitoring solution

March 29, 2021 / NewsShark

Arthur, the machine learning model monitoring company, released a suite of new tools and features for monitoring natural language processing models. Natural language processing is one of the most widely adopted machine learning technologies in the enterprise. But organizations often struggle to find the right tools to monitor these models.

The Arthur platform now offers advanced performance monitoring for NLP models, including tracking data drift, bias detection, and prediction-level model explainability. Monitoring NLP models for data drift involves comparing the statistical similarity of new input documents to the documents used to train the model. The Arthur platform automatically alerts you when your input documents or output text starts drifting beyond pre-configured thresholds.

Arthur now also offers bias detection capabilities for NLP models, allowing data science teams to uncover differences in accuracy and other performance measures across different subgroups to identify and fix unfair model bias. The platform also offers performance-bias analysis for tabular models. The Arthur team has also released a new set of explainability tools for NLP models, providing token-level insights for language models. Organizations can now understand which specific words within a document contributed most to a given prediction, even for black-box models.

https://www.arthur.ai

eccenca and Aarth to help enterprises manage semantic data

March 16, 2021 / NewsShark

Aarth Software, a digital transformation company, is partnering with eccenca as a solution provider for semantic data management. Aarth is committed to mature an organization’s understanding of data and transform decision making with meaningful insights. They will use the semantic data management platform solution by eccenca in projects where customers strive for better data quality and process understanding to leverage automation and artificial intelligence solutions.

The knowledge graph platform software enables the comprehensive management of enterprise data and its related processes, rules, constraints, capabilities and configurations in a single application. By this eccenca provides an enterprise-ready solution for limitless data integration and preparation. Both capabilities are the foundation to establish and automate advanced business intelligence and artificial intelligence applications in businesses. By making enterprise data both machine-readable and human-interpretable, enterprises are enabled to drive agility, autonomy and automation without disrupting existing IT infrastructures.

eccenca will become an integral part of Aarth’s project consultancy strategy to lift enterprise data from its silos and make it findable, accessible, interoperable and reusable throughout the organization. Aarth will provide data utilization capabilities for business driven strategic use cases.

https://eccenca.com/products/enterprise-knowledge-graph-platform-corporate-memory ▪︎ https://www.aarth.io

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Expert.ai launches natural language user community

March 15, 2021 / NewsShark

Expert.ai today launched a new user Community designed to serve the AI natural language understanding (NLU) and natural language processing (NLP) software ecosystem using the expert.ai NL technology, products and API. By sharing thought leadership, best practices, training material, and more, the Community is a space for developers, data scientists, knowledge engineers, computational linguists, AI enthusiasts and experts to learn more about the NL capabilities from the AI tools provided by expert.ai. Members can leverage the Community to gain new insights and knowledge, get advice from technical experts to overcome NL challenges and expand skills, interact with peers to ask support and share acquired expertise. To learn more or join the expert.ai Natural Language Community, visit

https://community.expert.ai

Melax Technologies launches LANN for text annotation

February 23, 2021 / NewsShark

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.

https://melaxtech.com/