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Category: Content management & strategy (Page 1 of 465)

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/

DataStax to launch new Hyper-Converged Data Platform

DataStax announced the upcoming launch of DataStax HCDP (Hyper-Converged Data Platform), in addition to the upcoming release of DataStax Enterprise (DSE) 6.9. Both products enable customers to add generative AI and vector search capabilities to their self-managed, enterprise data workloads. DataStax HCDP is designed for modern data centers and Hyper-Converged Infrastructure (HCI) to support the breadth of data workloads and AI systems. It supports on-premises enterprise data systems built to AI-enable data and is designed for enterprise operators and architects.

The combination of OpenSearch’s Enterprise Search capabilities, with the high-performance vector search capabilities of the DataStax cloud-native, NoSQL Hyper-Converged Database, enables users to speed RAG and knowledge retrieval applications into production.

Hyper-converged streaming (HCS) built with Apache Pulsar is designed to provide data communications for a modern infrastructure. With native support of inline data processing and embedding, HCS brings vector data to the edge, allowing for faster response times and enabling event data for better contextual generative AI experiences.

HCDP provides rapid provisioning and data APIs built around the DataStax one-stop GenAI stack for enterprise retrieval-augmented generation (RAG), and it’s all built on the open-source Apache Cassandra platform.

https://www.datastax.com/press-release/datastax-launches-new-hyper-converged-data-platform-giving-enterprises-the-complete-modern-data-center-suite-ceeded-for-ai-in-production

Elastic announced Search AI Lake to scale low latency search

Elastic, a Search AI company, today announced Search AI Lake, a cloud-native architecture optimized for real-time, low-latency applications including search, retrieval augmented generation (RAG), observability and security. The Search AI Lake also powers the new Elastic Cloud Serverless offering. All operations, from monitoring and backup to configuration and sizing, are managed by Elastic – users just bring their data and choose Elasticsearch, Elastic Observability, or Elastic Security on Serverless. Benefits include:

  • Fully decoupling storage and compute enables scalability and reliability using object storage, dynamic caching supports high throughput, frequent updates, and interactive querying of large data volumes.
  • Multiple enhancements maintain query performance even when the data is safely persisted on object stores.
  • By separating indexing and search at a low level, the platform can automatically scale to meet the needs of a wide range of workloads.
  • Users can leverage a native suite of AI relevance, retrieval, and reranking capabilities, including a native vector database integrated into Lucene, open inference APIs, semantic search, and first- and third-party transformer models, which work with the array of search functionalities.
  • Elasticsearch’s query language, ES|QL, is built in to transform, enrich, and simplify investigations with fast concurrent processing irrespective of data source and structure.

https://ir.elastic.co/news/news-details/2024/Elastic-Announces-First-of-its-kind-Search-AI-Lake-to-Scale-Low-Latency-Search/default.aspx

Foxit partners with Straker Translations

Foxit Software, a provider of PDF products and services, today announced a strategic partnership with Straker Translations, integrating Straker’s AI-powered language translation technology into the Foxit ecosystem. Foxit and Straker’s collaboration provides on-demand, accurate translation capabilities to Foxit’s eSignature services, enabling users to seamlessly translate and sign documents in multiple languages.

Straker’s integration within the Foxit eSignature solution will be valuable for Foxit users across critical sectors such as finance, legal, insurance, tax accounting, healthcare, and biotech, where precision and accessibility in documentation are essential.

This integration ensures that Foxit’s diverse international user base can engage with legal documents in their native language, enhancing understanding and compliance while simplifying the signing process for documents that cross linguistic borders. The addition of Straker’s translation technology not only streamlines the workflow but also enhances legal compliance and reduces the risk of misunderstandings in global transactions.

https://www.foxit.comhttps://www.straker.ai

Flatfile unveils new AI-powered data transformation features 

Flatfile, a data exchange platform, announced their Spring 2024 release with new AI-powered data transformation and data migration capabilities for business users, data analysts and systems integration teams as well as improved tooling and extensions for data exchange solution developers. The Flatfile Data Exchange Platform provides software development teams with an efficient and easy way to build exactly the data collection, transformation and migration solution their users need. Spring 2024 release highlights:

  • With AI Transform, business users can overcome the challenges of manually editing large data sets. This tool allows users to describe in natural language how they’d like to change their data and preview all potential changes in a convenient before-and-after view. This new co-pilot significantly simplifies and accelerates the cleanup and validation of enterprise data.
  • The new “Shared Views” feature, powered by the advanced filtering and querying capabilities of Flatfile workbooks, allows data migration teams to collaborate on the same data set while dynamically sharing precise data slices with relevant team members.
  • The new dashboard introduces a selection of pre-built apps, offering developers a streamlined approach to customizing their Flatfile experience. These apps support common use cases, such as embedded data importers or collaborative data onboarding projects.

https://flatfile.com/news/flatfile-unveils-ai-powered-data-transformation

Adobe launches Acrobat AI Assistant for the enterprise

Snippets from the Adobe blog…

Today, we announced the general availability of Adobe Acrobat AI Assistant for enterprise customers. Acrobat AI Assistant allows you to interact with your documents in Acrobat for quick answers and one-click summaries to create impactful content and improve productivity. It brings together our deep knowledge of PDF documents with our proprietary technology for document processing.

  • For Adobe Acrobat’s generative AI features, we currently leverage Microsoft’s Azure OpenAI Service, which is contractually prohibited from manually reviewing or training its LLM on Adobe customer data.
  • We leverage Microsoft Azure OpenAI’s content filtering service to moderate hate, sexual, violent, and self-harm content.
  • The Acrobat AI Assistant only looks at the information presented in the document and no other external sources such as the web, email or stored content in other locations are referenced.
  • Adobe’s custom attribution engine and proprietary AI generates citations so users can easily verify the source of answers from within the user-provided documents.
  • The AI Assistant responses are for individual consumption only. Even responses on shared documents on web are only accessible to that user.
  • User content, prompts, and responses are encrypted in transit. At rest, data stored by the Acrobat Generative AI Service is encrypted using SHA-256.

https://blog.adobe.com/en/publish/2024/05/08/adobe-acrobat-ai-assistant-enterprise-our-commitment-data-governance-security

Acquia supports latest content accessibility guidelines

Acquia, a digital experience software vendor , today announced that its Monsido web optimization platform offers support for WCAG 2.2, the latest web content accessibility guidelines recommended by the World Wide Web Consortium (W3C). Using the Accessibility Module in Monsido, customers can automatically scan their websites, obtain an accessibility score, and receive actionable recommendations to help ensure the accessibility of their digital content for individuals with disabilities. 

WCAG 2.2 expands on WCAG 2.1 – which addressed accessibility issues for individuals with blindness, deafness, and mobility requirements – with new criteria to make the web more productive for those with low vision and cognitive disabilities, as well as those using tablets and other mobile devices. The Monsido platform addresses common accessibility issues against these latest guidelines, and enables errors to be filtered by the desired level of compliance (e.g. A, AA, or AAA) for easy prioritization. Comprehensive reports explain how to resolve issues, and the Accessibility Fast Track feature empowers teams to instantly fix repetitive errors across multiple pages. For additional support, teams can access the Accessibility Help Center, which breaks down the more technical WCAG 2.2 checks in plain language. 

https://www.acquia.com/products/monsido

Trados announces Trados Studio 2024

Trados, the translation platform by RWS, announced the upcoming release of Trados Studio 2024, their computer-assisted translation tool. Studio 2024 includes new features that improve accessibility, democratize access to generative AI, and increase management capabilities:

  • Perform a project roundtrip (create, manage, translate, deliver) with screen readers and leverage native dictation in the online editor.
  • Access smart AI capabilities, such as our new ‘Trados Copilot – AI Assistant’ app exclusive to Trados Studio 2024, seamless support for Machine Translation Quality Estimation (MTQE) data and Smart Help – intelligent support as you work.
  • Benefit from full support for local, server and cloud-based projects in the new Manager view, better integration with cloud capabilities and the ability to leverage cloud resources during batch processing in local Studio projects.

Additional enhancements:

  • The workflow editor has the option to edit outcomes in human workflow tasks. This functionality simplifies the user experience for administrators making it easier for them to manage workflows, particularly when handling task transitions (which help users decide which ‘route’ they want their workflows to follow).
  • The customer portal is designed to streamline the translation project management process, providing a simple and efficient interface for requestors to create, track and retrieve their projects.

https://slator.com/trados-enhances-platform-with-new-accessibility-ai-and-management-features/

WordPress VIP introduces VIP API Mesh to enable composable digital experiences

WordPress VIP introduced VIP API Mesh, a new part of the WordPress VIP platform which simplifies the integration of backend systems. It handles the complex connections between WordPress VIP and other platforms, allowing front-end developers to retrieve all necessary data with a single GraphQL call.

The API Mesh simplifies data integration with a single API improves performance with caching, supports data transformation, and is accessible to both technical and non-technical users.

  • Single API: Regardless where data resides, the API Mesh manages pulling from various backends.
  • Performance acceleration: With built-in caching and indexing, queries go faster, improving user experience..
  • Data composition and transformation: Enables data transformation per your schema across multiple systems.
  • Prebuilt connectors, GraphQL, and REST: The API Mesh comes with dozens of prebuilt connectors, and can pull data from systems that don’t support GraphQL.
  • Read/write/execute: The API Mesh isn’t limited to pulling data from a backend. Just as easily update backend data across systems or invoke actions like triggering a marketing automation workflow on the backend.
  • No-code/low-code tools for content practitioners: The VIP API Mesh integrates with the WordPress Block Editor (Gutenberg), allowing non-technical staff to incorporate data from any API connected to the API Mesh into their content.

https://wpvip.com/2024/04/25/vip-api-mesh-composable-digital-experiences/

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