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Category: Content management & strategy (Page 7 of 464)

This category includes editorial and news blog posts related to content management and content strategy. For older, long form reports, papers, and research on these topics see our Resources page.

Content management is a broad topic that refers to the management of unstructured or semi-structured content as a standalone system or a component of another system. Varieties of content management systems (CMS) include: web content management (WCM), enterprise content management (ECM), component content management (CCM), and digital asset management (DAM) systems. Content management systems are also now widely marketed as Digital Experience Management (DEM or DXM, DXP), and Customer Experience Management (CEM or CXM) systems or platforms, and may include additional marketing technology functions.

Content strategy topics include information architecture, content and information models, content globalization, and localization.

For some historical perspective see:

https://gilbane.com/gilbane-report-vol-8-num-8-what-is-content-management/

Pinecone announces Pinecone Serverless

Vector database company Pinecone announced Pinecone Serverless, with a unique architecture and a serverless experience, to deliver cost reductions and eliminate infrastructure hassles, allowing companies to bring better GenAI applications to market faster. Companies can improve the quality of their GenAI applications and have a choice of LLMs just by making more data (or “knowledge”) available to the LLM. Pinecone Serverless includes:

  • Separation of reads, writes, and storage reduces costs for all types and sizes of workloads.
  • Architecture with vector clustering on top of blob storage provides low-latency, fresh vector search over practically unlimited data sizes at a low cost.
  • Indexing and retrieval algorithms built from scratch to enable fast and memory-efficient vector search from blob storage without sacrificing retrieval quality.
  • Multi-tenant compute layer provides efficient retrieval for thousands of users, on demand. This enables a serverless experience in which developers don’t need to provision, manage, or think about infrastructure, as well as usage-based billing that lets companies pay only for what they use.

Pinecone Serverless is launching with integrations to Anthropic, Anyscale, Cohere, Confluent, Langchain, Pulumi, and Vercel. Pinecone Serverless is available in public preview today in AWS cloud regions, and will be available thereafter on Azure and GCP.

https://www.pinecone.io/blog/serverless/

Altova announces MobileTogether 9.0

Altova announced the release of MobileTogether 8.1, its low-code app development platform for building enterprise solutions and native apps for iOS, Android, and Windows. This release introduces full support for MQTT, allowing developers to build MQTT-enabled apps for communication among smart devices.

MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol used for communication by smart devices. MQTT is a critical component of real-time monitoring and control of devices and processes in a wide variety of industries including automotive, manufacturing, transportation, and healthcare. MQTT enabled apps are invaluable for realizing the potential of smart devices in industrial automation as well as smart home and smart office scenarios.

MobileTogether 9.0 introduces complete support for building MQTT enabled apps with new actions, page events, and variables for interacting with an MQTT network as a publisher, a subscriber, or both. Also new in MobileTogether 9.0:

  • Support for table row dragging
  • Support for table row swiping
  • Native support for MySQL and MariaDB
  • Support for drawing barcodes and QR codes
  • Chart generation on clients
  • Page source tree editing during simulation
  • Dark and light themes for MobileTogether Designer
  • Solution aliases on the server
  • Support for multiple row groups per table
  • New button looks

https://www.altova.com/whatsnew

MadCap Software acquires Xyleme to expand suite of intelligent content management products 

MadCap Software, Inc., announced the acquisition of Xyleme, Inc. With the addition of Xyleme to their product portfolio, organizations will have a single source of enterprise-class solutions for their content needs—from delivering product and user documentation to onboarding customers and their workforce.  

MadCap Software solutions allow for creating, managing and publishing modern technical documentation, such as support and Help portals, knowledge bases, instructional and procedure manuals, from a single source for any format, including online, mobile and print. MadCap, customers rely on the cloud-based MadCap Central content management platform, MadCap IXIA CCMS component content management system, and MadCap Flare technical authoring software for how corporate documentation is delivered.

Xyleme offers an intelligent learning content management system (LCMS) to control and manage an enterprise’s mission-critical content. Xyleme’s platform supports the development, management, multi-format publishing, and syndication of content for complex use cases, such as employee or customer onboarding, skills development, product and skills certification, customer training, and channel and partner enablement. Because Xyleme’s platform deliver content to all applications within the learning ecosystem—learning management system (LMS), learning experience platform (LXP), adaptive learning, mobile app, etc, it serves as a single source of truth for content and critical data.

https://www.madcapsoftware.com/press-release/madcap-software-acquires-xyleme/https://xyleme.com

Argo Translation launches CMSConnect

Argo Translation, a Chicago-based language services company, announced today the launch of CMSConnect for digital platforms. CMSConnect (Cross-Platform Multilingual Suite) connects source content seamlessly from numerous PIM, CMS, CRM, and DAM platforms for translation into nearly any language.

CMSConnect enables companies to accelerate the delivery of digital content to international markets that require high speed to market and internally when communicating to a diverse employee base that speaks different languages.

CMSConnect supports many digital platforms, including Akeneo, InRiver, SharePoint, SiteCore, Kentico, Umbraco, Adobe Experience Manager, HubSpot, SFDC, and WordPress. It delivers the same promise for every platform supported – to make translation easy by enabling the translation of content into nearly any language using a platform’s native features. Argo Translation’s solution aims at eCommerce and product management professionals who are required to manage an extensive product catalog efficiently, HR professionals who need timely communications to non-native English-speaking employees via their employee website, and marketing professionals who need to connect with international audiences at the speed of their market.

https://www.argotrans.com/argo-translation-launches-cmsconnect

Digimarc offers free digital watermark embedding and detection tools to device and chip manufacturers and content creation platforms

Digimarc announced they are now offering device manufacturers, chip manufacturers, and content creation platforms free access to its Secure, Automated, Fair, and Efficient (SAFE) digital watermark embedding and detection tools for digital assets, to protect digital content owners and consumers.

In addition to gaining compliance with upcoming global regulations, device manufacturers (camera, smartphone, tablet, laptop, and more) and content platforms can now offer content creators native (on-device or in-platform) tools to bind authenticity and ownership information to digital assets by embedding digital watermarks before assets are published, while also protecting manifests based on the Coalition for Content Provenance and Authenticity (C2PA) standard. These manifests are often stripped from content when uploaded to content libraries, websites, or published on social media.

Last month, Digimarc introduced an open-source web browser extension to validate and display digital asset manifests based on the C2PA standard. The new Content Credentials Chrome extension allows content consumers to check images for C2PA manifests – adding a Content Credentials pin (“CR”) to the image if a manifest is present. The web browser extension is now available in the Chrome Web Store.

https://www.digimarc.com/press-releases/2024/01/04/digimarc-offers-free-digital-watermark-embedding-and-detection-tools

Franz unveils AllegroGraph 8.0

Franz Inc. announced AllegroGraph 8.0, a Neuro-Symbolic AI Platform that incorporates Large Language Model (LLM) components directly into SPARQL along with vector generation and vector storage for a comprehensive AI Knowledge Graph solution. AllegroGraph 8.0 combines Machine Learning (statistical AI) with knowledge and reasoning (symbolic AI) capabilities to solve problems that require reasoning and learn efficiently with less data, expanding applicability and produces decisions understandable to humans. AllegroGraph 8.0 includes: 

  • Retrieval Augmented Generation (RAG) for LLMs – AllegroGraph 8.0 guides Generative AI content through RAG, feeding LLMs with the ‘source of truth.’ This approach helps avoid ‘hallucinations’ by grounding the output in fact-based knowledge.
  • Natural Language Queries and Reasoning – The LLMagic functions serve as the bridge between human language and machine understanding, offering a dynamic natural language interface for querying and reasoning processes.
  • Enterprise Document Deep-insight – New VectorStore capabilities offer a bridge between enterprise documents and Knowledge Graphs, allowing users to access knowledge hidden within documents.
  • AI Symbolic Rule Generation – AllegroGraph offers built-in rule-based system capabilities tailored for symbolic reasoning, distilling complex data into actionable, interpretable rules.
  • Streamlined Ontology and Taxonomy Creation – LLMagic can streamline the complex and often labor-intensive task of crafting ontologies and taxonomies for any topic.

https://allegrograph.com/new-allegrograph-v8-neuro-symbolic-ai-platform/

Bloomreach partners with Spryker to expand composable commerce

Bloomreach, a platform fueling e-commerce experiences, today announced their partnership with Spryker, a composable commerce platform for sophisticated use cases in B2B Commerce, Enterprise Marketplaces, and Thing Commerce. With the partnership, Bloomreach users will be able to leverage Spryker’s composable, API based functionalities to constantly improve their digital and marketplace experience. From content management and product discovery to customer engagement, Spryker’s deep market knowledge will provide Bloomreach business users with the tools and support they need to achieve true personalization and capture revenue.

Bloomreach has always prioritized composable commerce and its impact in the e-commerce space. The partnership with Spryker is a testament to that and will deliver value to Bloomreach customers by providing access to Spryker’s diverse community of  technical and solution partners, as well as a strong team of experts. Through Spryker’s composable API based functionalities, customers will be able to constantly improve their digital and marketplace experiences while creating flexible tech stacks that will drive revenue and growth across the e-commerce ecosystem.

https://www.bloomreach.com/en/news/2023/bloomreach-partners-with-spryker-to-unlock-a-new-level-of-composable-commercehttps://spryker.com

Neo4j collaborating with AWS to enhance generative AI results

Neo4j announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to enable enterprises to achieve better generative artificial intelligence (AI) outcomes through a combination of knowledge graphs and native vector search that reduces generative AI hallucinations while making results more accurate, transparent, and explainable.

Neo4j also anncounced a new integration with Amazon Bedrock, a managed service that makes foundation models from AI companies accessible via an API to build and scale generative AI applications. Neo4j’s native integration with Amazon Bedrock enables:

  1. Reduced Hallucinations: Neo4j with Langchain and Amazon Bedrock can now work together using Retrieval Augmented Generation (RAG) to create virtual assistants grounded in enterprise knowledge.
  2. Personalized experiences: Neo4j’s context-rich knowledge graphs integration with Amazon Bedrock can invoke an ecosystem of foundation models that generate personalized text generation and summarization for end users.
  3. Get complete answers during real-time search: Developers can leverage Amazon Bedrock to generate vector embeddings from unstructured data (text, images, and video) and enrich knowledge graphs using Neo4j’s new vector search and store capability.
  4. Kickstart a knowledge graph creation: Developers can leverage new generative AI capabilities using Amazon Bedrock to process unstructured data so it becomes structured and load it into a knowledge graph.

https://neo4j.com/press-releases/neo4j-aws-bedrock-integration/

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