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Category: Content management & strategy (Page 14 of 471)

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/

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/

Ontotext and TopQuadrant partner to accelerate adoption of graph and semantic technologies

Ontotext, a semantic data and knowledge graph technology provider, and TopQuadrant, a provider of software tools for data governance and semantics, announced a partnership to bring advantages to their shared customer base. With TopQuadrant, Ontotext clients gain a knowledge graph creation and curation tool that enables new data governance use cases, while TopQuadrant clients benefit from improved scalability, usability, and performance. The combination of front and back-end systems enables:

  1. Scalability and Performance for Large Data Sets: With Ontotext’s RDF database GraphDB, semantic data products such as taxonomies, tag lists, metadata stores, and code lists, can now scale to handle master data management and enterprise data quality and validation efforts.
  2. Policy Enforcement and Automation: TopQuadrant’s expertise in data governance and metadata management will help clients enforce policies across organizations’ full data landscape, mitigating risk of regulatory fines such as for GDPR.
  3. Pharma R&D Semantic Solution: This solution will enable data models to capture data and improve data quality, enhancing collaboration and efficiency, automating regulatory reporting and ultimately enabling new insights into drug discovery.
  4. Semantic Data Catalog: The semantic approach for active metadata management harmonizes data and metadata across an entire organization. The semantic data catalog actively populates metadata and makes data more interoperable and reusable.

https://www.ontotext.com/company/news/ontotext-and-topquadrant-a-powerful-partnership/

Fivetran deepens relationship with Microsoft; adds new data lake destinations

Fivetran announced its support for Microsoft OneLake through integration with Microsoft Fabric as a new data lake destination, and that Fivetran has been named a Microsoft Fabric Interoperability Partner. Together with support for Delta Lake on Azure Data Lake Storage (ADLS) Gen2, also announced today, Fivetran customers now have two Microsoft data lake destinations to securely consolidate their data workloads with any of Fivetran’s 400-plus pre-built, fully managed data pipelines. 

Because Fivetran automates data extraction, cleansing, conforming and converting data to Delta Lake format, customers are able to move faster in developing AI and generative AI-based projects.

OneLake serves as the unified data foundation for Microsoft Fabric, making it simple for customers to access their data through a file explorer, similar to Microsoft’s OneDrive for files. With OneLake, customers can create multiple workspaces within a single tenant.

Fivetran offers the flexibility and scalability that enterprises need to build a solid data lake foundation, across on-premise, cloud-based and third-party sources. Whether an organization has a hybrid or multi-cloud environment, Fivetran provides high-volume data movement with enterprise-ready reliability and uptime, and industry-standard practices for data encryption, with GDPR, IS0 27001 and SOC 2 Type II compliance.

https://www.fivetran.com/blog/fivetran-supports-microsoft-onelake-as-a-destination-through-integration-with-microsoft-fabric

Acquia Site Studio introduces capabilities to create Drupal and headless applications from a single platform

Acquia announced new capabilities for Acquia Site Studio, the low-code Drupal website builder. Now, developers and marketers can create and manage digital experiences for traditional Drupal websites and headless applications using the same content. This allows marketers to create engaging digital experiences across digital channels from a single content platform, reducing demands on development and IT resources. 

Acquia Site Studio offers an intuitive visual page building and content authoring experience for Drupal. In a traditional website build, Site Studio allows non-technical users to create components, layouts, and content without the need for PHP and JavaScript. Now, with the launch of the new JSON:API for Site Studio, JavaScript and front end developers can easily access the content and layouts created via Site Studio in decoupled or headless apps to create more engaging, interactive digital experiences. The new feature requires Acquia Site Studio 7.4 and above and use of a modern version of Drupal. 

https://www.acquia.com/newsroom/press-releases/site-studio-drupal-headless

Elastic unveils Elasticsearch Query Language (ES|QL)

Elastic the company behind Elasticsearch, today announced Elasticsearch Query Language (ES|QL), its new piped query language designed to transform, enrich and simplify data investigation with concurrent processing. ES|QL enables site reliability engineers (SREs), developers and security professionals to perform data aggregation and analysis across a variety of data sources from a single query. 

Over the last two decades, the data landscape has become more fragmented, opaque, and complex, driving the need for greater productivity and efficiency among developers, security professionals, and observability practitioners. Organizations need tools and services that offer iterative workflow, a broad range of operations, and central management to make security and observability professionals more productive. Elasticsearch Query Language key benefits include:

  • Delivers a comprehensive and iterative approach to data investigation with ES|QL piped query syntax.
  • Improves speed and efficiency regardless of data’s source or structure with a new ES|QL query engine that leverages concurrent processing.
  • Streamlines observability and security workflows with a single user interface, which allows users to search, aggregate and visualize data from a single screen.

ES|QL is currently available as a technical preview. The general availability version, scheduled for release in 2024, will include additional features to further streamline data analysis and decision-making.

https://www.elastic.co

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