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Optimizely launches digital experience platform on Azure

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

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

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

Bloomreach joins the MACH Alliance

Bloomreach, a commerce experience cloud, announced it has joined the MACH Alliance, a group of independent tech companies dedicated to advocating for open, technology ecosystems. Its inclusion in the MACH Alliance certifies that Bloomreach now meets the MACH standard of modern technology: Microservices based, API-first, Cloud-native SaaS, and Headless.

With solutions built specifically to enable digital commerce growth, Bloomreach has been recognized by customers for the control and revenue-optimization it offers to non-technical business users. Its products — Engagement, Discovery, and Content — empower users to personalize the entire customer journey with a business-oriented UI that offers access to relevant, real-time customer and product data. As a MACH certified company, Bloomreach is ensuring its solutions meet the needs of developers as well, offering the MACH agility that allows them to build a modern composable commerce environment that is both easy to integrate from a technical standpoint and maximized for value from a business standpoint.

https://www.bloomreach.com/en/blog/2022/mach-alliance

Access Innovations and Aptara partner to provide digital publishing solutions

Access Innovations, Inc., provider of Data Harmony software solutions, announced a partnership with Aptara to provide intelligent publishing solutions to book and journal publishers. Serving as a digital publishing provider since 1988, Aptara is proficient in designing and developing custom content for Fortune 500 companies and other organizations from all industries. They create, enrich, and optimize content to ensure it can be reused and repurposed — future-proofing it for all known and as yet undiscovered outputs.

Both Aptara and Access Innovations have extensive content experience, from structuring to conversion and metadata enrichment. Having the depth of experience will provide the combined client base with a full range of services to help reduce expenses while creating the digital-first experience most publishers need to compete in today’s evolving publishing industry. With this partnership in place Aptara clients can expect to see smoothly integrated options for taxonomies, and other metadata enhancement offered as a regular production flow service. Access Innovations clients can utilize significant additional options in production and distribution options.

https://www.accessinn.comhttps://www.aptaracorp.com

Sonic Foundry launches Video Solutions

Sonic Foundry, Inc., provider of video capture, management, and streaming solutions, announced the launch of Video Solutions, a new business unit that will provide comprehensive video services to enterprise and events customers. Video Solutions incorporates many of the services previously offered under Sonic Foundry’s Mediasite Events brand with a variety of additional enterprise-facing services. These include editing tools, video distribution solutions, integration into any video management platform, and concierge-quality service from dedicated project managers.

Enterprise video libraries have grown in both volume and variety, putting pressure on marketing and operations professionals who are managing video in ways they never expected. Video Solutions addresses these challenges by providing a streamlined, all-in-one source for video capture, management, and distribution solutions, as well as the support necessary to coordinate and execute a comprehensive video strategy.

If the goal is to achieve maximum impact with a new video initiative, Video Solutions project managers can help to design a customized distribution and engagement strategy to ensure that you and your audience get maximum value from the content you produce. If the goal is to improve operational efficiency, Video Solutions technicians can integrate workflows and capabilities into your existing technology stack and video tools.

https://sonicfoundry.com

Smartling expands Neural Machine Translation Hub

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/

Pinecone launches hybrid search functionality

Pinecone Systems Inc., a machine learning (ML) search infrastructure company, announced the release of a keyword-aware semantic search solution that enables accessible and advanced combination of semantic and keyword search results. “Vector search” allows companies to provide relevant results based on semantic, or similar meanings, as opposed to simple keyword-based searches. At the same time, keywords still matter in searches involving uncommon words like names or industry-specific terms. With few exceptions, companies have to choose between semantic search and keyword search, or running both systems in parallel.

Neither of these options is ideal. When companies choose one or the other, the results are not as complete as they could be, and when they run both systems in parallel and try to combine the results, cost and complexity goes up significantly. This technology can search across two data types — “dense vectors” generated by ML models to represent meaning, and “sparse vectors” generated by traditional keyword-ranking models such as BM25 — before automatically fusing everything into one ranked list of the most relevant results. The Pinecone hybrid search feature is available in beta.

https://www.pinecone.io/hybrid-search-early-access

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