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Category: Computing & data (Page 34 of 91)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

Sinequa updates search cloud platform

December 6, 2022 /

Sinequa announced the 11.9 release of its Search Cloud Platform. The new update improves on Sinequa’s Neural Search by expanding integration options with new pre-built connectors, and enhancing its tools for delivering intelligent search applications. New features and enhancements include:

  • Better relevance: Enhanced document splitting and automatic content management for higher-quality passages and augmented answer extraction capabilities
  • Better experience: UI/UX enhancements, including built-in components for Top Passages and Answers
  • More languages: Initially available in English, Neural Search now supports French, German, and Spanish as well
  • PTC Windchill connector for PLM content integration has been upgraded to support v12, including all object types and all security protocols.
  • Office 365 OneNote. The addition of OneNote means Sinequa now has off-the-shelf connectors for the full suite of Office 365 applications.
  • Audit Log: A built-in connector replaces the previous one with more capabilities like event filtering.
  • Azure Blob Storage for full indexing of Azure content and simplified role management.
  • Sinequa Themes. A modernized UI with modular themes that can be easily added, removed, and customized.
  • Search Starter App Builder now includes additional components, options, and a more intuitive UI for instantly delivering a best-in-class search experience.

https://www.sinequa.com

Squirro partners with the Semantic Web Company

November 22, 2022 /

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

Datadobi introduces StorageMAP 6.3

November 15, 2022 /

Datadobi, provider of an unstructured data management platform, announced enhancements to its multi-vendor, multi-cloud unstructured data management platform StorageMAP. The 6.3 release introduces the ability to copy file data to any S3-compatible object storage system. The new file-to-object copy functionality adds to StorageMAP’s ability to help IT leaders archive, pipeline, and replicate file data to S3.

Unstructured data makes up 80% or more of enterprise data and is growing by 55% to 65% per year, making it difficult for companies to keep up with unstructured data management efforts. The complexity of today’s heterogeneous storage environments has caused organizations to cite the need to manage unstructured data as a problem for their business.

With StorageMAP 6.3, companies can create a copy of file data on a cost-effective object storage server or service within different geographies, tech stacks, or networking providers. This enables organizations to archive aging and/or redundant, obsolete, and/or trivial (ROT) data to less expensive storage, pipeline data to the cloud for running cloud-native analytics and AI/ML applications against the data, or maintain a safe copy of data on heterogeneous storage operating systems (OS) helping protect against OS specific bugs or hacks.

https://datadobi.com

Optimizely launches digital experience platform on Azure

November 14, 2022 /

Optimizely, a digital experience platform (DXP) provider enabling Boundless Digital Invention, announced its content management, commerce, and personalization solutions are now available on the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. Optimizely DXP offers personalization features, powered by artificial intelligence (AI) and benefitting from the scalability, reliability, performance, and security of Azure.

Optimizely DXP is an advanced Content Management System (CMS) offered in a platform-as-a-service (PaaS) model, built on Microsoft .NET 5/6, and natively designed to run on Azure, enabling customers to take full advantage of Microsoft Azure for ease of use, reduced complexity, and cost-effective technology consumption. This launch allows customers to benefit from the latest release of Optimizely Content Management Version 12 and B2C Commerce Version 14, which is Optimizely’s first version built on ASP.NET Core. It also comes on the heels of the recent release of the .NET Upgrade Assistant to make it easier for customers to move to .NET 5/6.

https://azuremarketplace.microsoft.com/en-us/marketplace/apps/episerver.optimizely_customer-centric_digital_experience

Neo4j releases Neoj4 5 graph database

November 9, 2022 /

Neo4j announced the Neoj4 version 5 graph database is now available. with greater performance, scale, and ability to run Neo4j databases anywhere you want. Neo4j 5 includes updates to:

Query performance. Runtime optimizations by Neo4j engineers have made K-Hop queries faster. The Cypher clauses CONTAINS and ENDS WITH are widely used for filtering results by text properties. The new TEXT indexes implementation in Neo4j 5, based on trigrams, makes them much faster.

Sharding and Fabric. Since version 4, Neo4j has made it possible to read from your database shards as if they were a single graph, using Fabric. In Neo4j 5, you can instantaneously create a Fabric database using Cypher’s Composite database command. Fabric also comes in handy when you want to create queries that span across multiple databases to bust the silos that hide insights and hinder collaboration.

Autonomous Clustering in Neo4j 5 shifts the administrative burden from the operator to the software. All you have to do is declare how many primary or secondary copies you need and how you want those copies managed in the cluster, and your wish is Neo4j’s Cypher command.

https://neo4j.com/blog/announcing-neo4j-5-graph-database/

Expert.ai enhances hybrid AI platform

November 9, 2022 /

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

Smartling expands Neural Machine Translation Hub

November 1, 2022 /

Smartling, an enterprise translation solutions company, announced a major product expansion for its Neural Machine Translation (NMT) Hub, available to all Smartling customers. Smartling uses a combination of technologies such as Neural Machine translation, which is capable of providing translation quality comparable to that of human translation, their proprietary Machine Learning models and “human-in-the-loop” delivery platform.

Smartling spent years collecting vast volumes of Machine Translation Quality data across multiple translation directions and content types, based on a widely accepted Translation Error Rate (TER) automated MT evaluation metric. From there, the data was used to train the AI models to not just make accurate decisions for the best MT engine selection, but consider fallback engine suggestions as well. This solves for the main deficiency associated with single-engine approach. The AI algorithms in NMT Hub are designed to dynamically learn from billions of data points available through Smartling’s closed-loop enterprise content delivery platform to ensuring the best quality MT output.

Designed to tackle translation issues that traditional single-engine approaches are not able to solve, Smartling’s NMT Hub is built to solve many of the challenges web developers and content managers.

https://www.smartling.com/software/neural-machine-translation-hub/

TigerGraph to support openCypher in GSQL

October 19, 2022 /

TigerGraph, provider of an advanced analytics and ML platform for connected data, announced its commitment to support openCypher, a popular query language for building graph database applications. Developers can now access a limited preview translation tool to learn how openCypher support will appear in TigerGraph’s flagship graph query language, GSQL. Support for openCypher will give developers more choice to build or migrate graph applications to TigerGraph’s scalable, secure, and managed graph database platform.

The openCypher-to-GSQL translation tool is now available to the openCypher developer community to access a side-by-side comparison of openCypher queries and the equivalent GSQL queries with proposed openCypher syntax support. With this limited preview, developers are encouraged to learn how openCypher will appear in GSQL and provide feedback to guide the incremental buildout of full support features. Those who want to learn advanced GSQL can now access TigerGraph’s offerings, including its distributed computing database, in-database machine learning workbench, and graph data science library, which consists of more than 55 graph algorithms.

TigerGraph’s openCypher support aligns with support for industry standard GQL. TigerGraph serves on the ISO steering committee that is developing GQL, the new international standard query language that will be available in early 2024.

https://www.tigergraph.com/cloud/

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