Curated for content, computing, and digital experience professionals

Category: Content technology news (Page 15 of 624)

Curated information technology news for content technology, computing, and digital experience professionals. News items are edited to remove hype, unhelpful jargon, iffy statements, and quotes, to create a short summary — mostly limited to 200 words — of the important facts with a link back to a useful source for more information. News items are published using the date of the original source here and in our weekly email newsletter.

We focus on product news, but also include selected company news such as mergers and acquisitions and meaningful partnerships. All news items are edited by one of our analysts under the NewsShark byline.  See our Editorial Policy.

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Language Weaver extends neural machine translation capabilities with LLMs

Language Weaver, a business unit within RWS’s Language Services and Technology division, is accelerating the development and deployment of generative AI technologies to enhance the capabilities of its secure, AI-powered machine translation platform. 

Language Weaver is using Amazon Web Services’ (AWS) machine learning and AI services, including Amazon SageMaker, to build new features and scale its Large Language Model (LLM) capabilities in a private, secure and protected environment.

The Language Weaver platform is a neural machine translation platform that combines cutting-edge machine learning, advanced artificial intelligence capabilities and linguistic expertise. The platform provides highly accurate, real-time translation across almost 3,500 language combinations.

RWS has now also joined the AWS Partner Network (APN). The APN is a global community of partners that leverages programs, expertise and resources to build, market and sell customer offerings. This network features 100,000 partners from more than 150 countries.

https://www.rws.com/language-weaver/

Netlify announces Composable Web Platform

Netlify announced the Netlify Composable Web Platform, a new platform for enterprises to build and implement modern, composable web architecture. Netlify’s Composable Web Platform offers enterprises a simplified path towards composable web architecture and a foundation for architects, developers, and marketers.

The Composable Web Platform unifies content, data sources, code and infrastructure, and allows developers to select components to integrate into a single workflow. The platform offers a single user interface for customers to access:

  • Netlify Core provides teams with the platform and workflow to focus on building websites and apps without labor-intensive operations. Core primitive advancements added to Netlify Core ensure that updating or rebuilding assets only happens where required, and make sure that customer applications are consistent, up to date, and performant.
  • Netlify Connect brings all content sources and CMS applications together in a single location, giving web teams the power to orchestrate and manage how and where content is served to all frontend digital experiences. A new private SDK allows any company to create a connection between their purchased or custom content source and Netlify Connect.
  • Netlify Create integrates with your chosen content systems, frameworks, and architectures, providing an intuitive visual editing experience.

https://www.netlify.com/platform/

dbt Labs announces the next generation of dbt Semantic Layer

dbt Labs has announced the next generation of the dbt Semantic Layer following its acquisition of Transform in February 2023. The dbt Semantic Layer enables organizations to centrally define business metrics in dbt Cloud and then query them from any integrated analytics tool. This allows organizations to ensure that critical definitions such as “revenue,” “customer count,” or “churn rate” are consistent in every data application.

dbt Labs is also shipping a new integration with Tableau for the dbt Semantic Layer. With this integration organizations that rely on Tableau’s analytics platform can benefit from business-critical metrics that are consistent, reliable, and reading from a single, verified source of truth. The Semantic Layer also integrates with Google Sheets, Hex, Klipfolio, Lightdash, Mode, and Push.ai. New features:

  • Dynamic join support: Join any number of tables together to produce metrics on top of an existing database.
  • Optimized query plans and SQL generation: Generates joins, filters and aggregations as an analyst would, with legible and performant SQL.
  • Complex metric types: Enables new aggregations and more flexible metric definitions, empowering users to define more metrics critical to measuring their business.
  • Expanded data platform support: Supports BigQuery, Databricks, Redshift, and Snowflake, including performance optimizations for each.

https://www.getdbt.com/

OpenLink Software introduces the OpenLink Personal Assistant

From the OpenLink blog…

We are pleased to announce the immediate availability of the OpenLink Personal Assistant, a practical application of Knowledge Graph-driven Retrieval Augmented Generation (RAG) showcasing the power of knowledge discovery and exploration enabled by a modern conversational user interface. This modern approach revitalizes the enduring pursuit of high-performance, secure data access, integration, and management by harnessing the combined capabilities of Large Language Models (LLMs), Knowledge Graphs, and RAG, all propelled by declarative query languages such as SPARQL, SQL, and SPASQL (SPARQL inside SQL).

GPT 4.0 and 3.5-turbo foundation models form the backbone of the OpenLink Assistant, offering a sophisticated level of conversational interaction. These models can interpret context, thereby providing a user experience that intuitively emulates aspects of human intelligence.

What truly sets OpenLink Assistant apart is state-of-the-art RAG technology, integrated seamlessly with SPARQL, SQL, and SPASQL (SPARQL inside SQL). This fusion, coupled with our existing text indexing and search functionality, allows for real-time, contextually relevant data retrieval from domain-specific knowledge bases deployed as knowledge graphs.

  1. Self-Describing, Self-Supporting Products: OpenLink Assistant adds a self-describing element to our Virtuoso, ODBC & JDBC Drivers products by simply installing the Assistant’s VAD (Virtuoso Application Distro) package.
  2. OpenAPI-Compliance: With YAML and JSON description documents, OpenLink Assistant offers hassle-free integration into existing systems. Any OpenAPI compliant service can be integrated into its conversation processing pipeline while also exposing core functionality to other service consumer apps.
  3. Device Compatibility: Whether you’re on a desktop or a mobile device, OpenLink Assistant delivers a seamless interaction experience.
  4. UI Customization: The Assistant can be skinned to align with your application’s UI, ensuring a cohesive user experience.
  5. Versatile Query Support: With support for SQL, SPARQL, and SPASQL, OpenLink Assistant can interact with a multitude of data, information, and knowledge sources.

https://medium.com/openlink-software-blog/introducing-the-openlink-personal-assistant-e74a76eb2bed

Optimizely debuts marketing operating system  

Optimizely, a digital experience platform provider, announced a new operating system for marketing practitioners built on its digital experience platform: Optimizely One. Optimizely One is enriched through a single, unified workflow accelerated by AI, making it simpler for marketers to create, manage, deliver, and optimize content all in one place with a:

Composable and decoupled stack:

  • CMS SaaS Core: Design entire web experiences with a low/no-code interface, and benefit from automatic upgrades, SLAs, and managed services
  • Graph: Aggregate content from any source, manage it from a single hub, and deliver it to any channel, app or device
  • Visual Experience Builder: Apply pre-built templates and customer data to create and preview engaging experiences via a new editor.

Unified Workflow:

  • Experiment Collaboration: Manage every aspect of your experimentation program with a purpose-built tool
  • Omnichannel Authoring: Create content once and pull it into multiple content types and formats, to deliver to any channel

Embedded AI capabilities:

  • Opal, a new identity for AI: Engage with Optimizely’s AI to surface insights, review recommendations, create new content.
  • Partnership with Writer: Utilize business-focused language learning models (LLMs) to create enhanced AI-generated content that includes specific industry knowledge.

https://www.optimizely.com

Adobe releases new Experience Manager for Enterprises

Adobe announced the availability of the all-new Adobe Experience Manager Sites, Adobe’s content management system (CMS) for enterprises. The enterprise application includes new capabilities that allow businesses to test and optimize web content to drive conversions and deliver better site speeds with optimized boiler plate code, phased page rendering, persistent caching and continual real-user monitoring. Word processing tools like Microsoft Word and Google Docs enable anyone to create and edit web pages. 

The Adobe Experience Manager Sites delivers:

  • Increased site performance: Experience Manager Sites comes with Adobe-developed performance tools – including optimized boilerplate code that gives developers a starting point, phased page rendering to ensure every page’s most prominent parts load first, persistence caching to avoid content loading delays, and continual real-user monitoring.
  • Web content optimization: New built-in experimentation tools help marketing teams quickly test brand experiences to better understand which content is driving engagements.
  • Simplified authoring: Content management is now faster and more accessible for all marketers through document-based authoring. The Adobe Experience Manager CMS enables any marketer to create and edit webpages with Microsoft Word or Google Docs.
  • Adobe Sensei GenAI: delivers LLM-agnostic tools for brands to write and modify copy in a brand’s voice within existing workflows.

https://business.adobe.com/products/experience-manager/sites/aem-sites.html

MadCap Software brings ChatGPT to MadCap Central  

MadCap Software, Inc., a provider of multi-channel content authoring, management and publishing software, announced the newest release of its MadCap Central content management platform featuring AI Assist. 

Available today, MadCap Central with AI Assist is a content management platform to provide integrated ChatGPT functionality optimized for authors and editors of technical content, such as documentation websites, knowledge bases, online Help, policy manuals, and training. With AI Assist, authorized users can now:

  • Make requests to ChatGPT and receive responses directly in MadCap Central.
  • Train ChatGPT on their existing content to receive responses in the company’s voice.
  • Edit and format the ChatGPT responses in the AI Assist interface.
  • Click to insert the text directly into a document on MadCap Central.
  • View the difference between original content and text edited by ChatGPT.
  • Translate content directly in the Content Editor.

Designed for teams and enterprises, the cloud-based MadCap Central platform combines the content authoring capabilities also found in MadCap Flare with functionality for publishing, project management, collaboration, translation, hosting and analytics. Because MadCap Central supports single-source publishing, the same content can be repurposed to deliver modern documentation websites, print brochures, online Help, knowledge bases, support sites, training and development content, and more.

https://www.madcapsoftware.com

Ontotext GraphDB now available in AWS Marketplace

Ontotext announced that its core product, GraphDB, is now available in the AWS Marketplace. Delivered through the AWS Marketplace, enterprises can simplify, globally implement and roll out graph databases to support cloud data migration from on-premises environments to AWS and other public cloud providers and remain compliant with stringent industry and privacy regulations.

Ontotext GraphDB makes building knowledge graphs faster, which provides users with an end-to-end platform for enterprise-wide data integration and discovery. GraphDB was designed for companies with decentralized data challenges who need data-driven analytics to drive insights for mission-critical business needs. GraphDB on AWS enables their joint customers to:

  • Develop a linking engine for enterprise data management, dismantling data silos and minimizing time to insights and time to market.
  • Harmonize data sources to allow effective data sharing, collaboration, and semantic data discovery to deliver ROI on information architecture spend.
  • Enable standardized data exchange, discovery, integration, and reuse to deliver 360 views of their business.

With a simplified billing process, customers can quickly get started with GraphDB to integrate disparate and disconnected structured and unstructured data.

https://www.ontotext.com/products/graphdb/

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