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Category: Content management & strategy (Page 2 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/

Adobe introduces Frame.io V4

Adobe introduced the all-new Frame.io V4, a creative collaboration platform that streamlines and simplifies workflows across content creation and production. Frame.io V4 is designed to meet the complex needs of creative teams delivering personalized content by centralizing feedback, helping to reduce rounds of revisions and accelerating the delivery of media assets. The next generation of Frame.io will begin to roll out today in beta for Frame.io Free and Pro customers, and is planned to launch later this year for Team and Enterprise customers. 

With all-new workflow management capabilities, anchored by a dynamic metadata framework and smart folder system called Collections, V4 introduces a cloud-based platform that is customizable and flexible enough to facilitate any creative workflow. File transfer, media asset review and approval, sharing, and presentations have undergone a complete transformation in V4, offering users a platform for their most demanding creative projects.

Frame.io is integrated with Adobe Premiere Pro and Adobe After Effects and will be available in Adobe Photoshop for Creative Cloud Enterprise customers beginning in May, with support for more Creative Cloud tools, customer segments, and integration with Workfront coming later this year.

https://news.adobe.com/news/news-details/2024/Adobe-Introduces-Next-Generation-of-Frame.io-to-Accelerate-Content-Workflow-and-Collaboration-for-Every-Creative-Project/default.aspx

MongoDB expands collaboration with Google Cloud

MongoDB, Inc. announced an expanded collaboration with Google Cloud to make it easier and more cost-effective to build, scale, and deploy generative AI applications using MongoDB Atlas Vector Search and Vertex AI from Google Cloud, along with additional support for data processing with BigQuery. The companies are also collaborating on new industry solutions for retail and manufacturing, with deeper product integrations and solutions to provide a seamless development environment for creating shopping experiences and data-driven applications for smart factories. For workloads that use highly sensitive data, MongoDB Enterprise Advanced (EA) is now available on Google Distributed Cloud (GDC).

  • MongoDB Atlas Search Nodes on Google Cloud provide dedicated infrastructure for generative AI and relevance-based search workloads that use MongoDB Atlas Vector Search and MongoDB Atlas Search.
  • A dedicated Vertex AI extension makes it easier to work with large language models (LLMs) without having to transform data or manage data pipelines between MongoDB Atlas and Google Cloud.
  • Integration of Spark stored procedures with BigQuery improves automation, optimization, and reuse of data processing workflows between BigQuery and MongoDB Atlas for analytics, BI, and end-user applications.

https://www.mongodb.com/press/mongo-db-expands-collaboration-with-google-cloud-at-google-next

DataStax acquires Langflow

DataStax announced it has entered into a definitive agreement to acquire AI startup, Logspace, the creators of Langflow, an open source visual framework for building retrieval-augmented generation (RAG) applications.

Langflow makes it easier and faster for any developer, experienced or new, to build Generative AI applications using Python-based composable building blocks and pre-built components, which can be combined in numerous ways. With its easy-to-use, drag-and-drop visual environment and rapid iteration of data flows, Langflow makes it simpler for any developer to build LangChain-based RAG applications and deploy in one-click. 

Developers benefit from a rich ecosystem that builds, shares, and reuses components with each other in the Langflow Store–a place to publish and search for components built by the community. With this, they can quickly test, reuse, and share flows to iterate on RAG applications with fine-grained control to dramatically speed up deployment and reduce hallucinations. 

The combination of Langflow and DataStax creates a one-stop Generative AI application stack offering flexible deployment options, including integration with DataStax Astra DB, alongside a rich ecosystem of Python libraries, and integration with partners like LangChain. The Langflow team will operate independently, focusing on project innovation and community collaboration.

https://www.datastax.com/blog/datastax-acquires-langflow-to-accelerate-generative-ai-app-developmenthttps://www.langflow.org

NebulaGraph Enterprise v3.7.0 simplifies building knowledge graphs

Vesoft announced the latest update to the NebulaGraph Enterprise v3.7.0, featuring two modules: the Knowledge Graph Build (beta) and the AI Assistant. These functions invite users to experience firsthand the seamless integration of graph technology and Large Language Models (LLMs) at a product level.

In the v3.7.0 of the NebulaGraph Enterprise, the KG Build function streamlines the creation of knowledge graphs by connecting to LLMs, automatically processing uploaded file data, transforming it into a knowledge graph, and storing it in the database. This new process reduces manpower and resource needs and enhances data processing efficiency. Beyond supporting small-scale trial files, the KG Build function accommodates super large-scale file uploads to LLMs, allowing users to customize knowledge graph construction tasks for a more flexible and convenient process.

Alongside KG Build, NebulaGraph Explorer v3.7.0 introduced the AI Assistant function for Graph Language Generation. The query language of graph databases has been a barrier for many users, often requiring systematic learning or professional assistance. With the Graph Language Generation function users simply input natural language queries related to the graph database, and the AI assistant translates the query into a graph query statement.

https://www.nebula-graph.io/posts/enterprise_3.7_release

Bridgeline releases Zeus Update with Concept and Image Search

Bridgeline Digital, Inc. announced that Smart Search by HawkSearch, featuring AI powered concept and image search with Generative AI (GenAI) capabilities, is now available to the general public. Smart Search leverages the latest advancements in AI, including large language models (LLMs) and vector databases, to enhance online shopping search functionality. Smart Search includes:

  • Concept Search understands the intent behind a customer’s search to find products that are more relevant to the customer’s needs. A customer can describe what they need to automatically create a shopping list. For example, if a customer tells an online flower store, “find white flowers to plant in Southern California with fragrant blooms to attract bees,” Smart Search would return Gardenia and Star Jasmine.
  • Image Search allows online shoppers to shop with photos from their cell phone or online images. A shopper could go to the above gardening website and upload a photo of a garden to automatically load their shopping cart with similar flowers and trees.
  • GenAI automatically creates, corrects, or expands descriptions of products in your catalog. GenAI also creates landing pages with keywords for each product.

Smart Search supports 50 languages even if the site is primarily in English.

https://www.hawksearch.com/webinar/meet-zeus-hawksearchs-newest-release

TransPerfect acquires TheSpeech

TransPerfect, a provider of language and AI solutions for global business, today announced that it has acquired TheSpeech, a remote simultaneous interpretation platform for multilingual events. Financial terms of the transaction were not disclosed.

TheSpeech’s self-service platform enables customers to have their live events interpreted from multiple source languages to multiple target languages and broadcast live to any size audience, anywhere around the world. Key features of TheSpeech include:

  • Support for live, online, and hybrid events
  • 150+ languages
  • Closed captions for deaf and hard-of-hearing viewers
  • Support for nearly all platforms and configurations
  • Data collection and statistics for meeting organizers to be informed on engagement while being GDPR compliant
  • No hardware rental required and nothing to physically install

TheSpeech will continue to be led by CEO Peter Cselenyi, who will join TransPerfect’s management team. Cselenyi has served as CEO since founding the company in 2015 with partners Peter Vincze and Virag Vinceffy. TransPerfect was advised on the transaction by DLA Piper Hungary. TheSpeech was advised by Andersen Legal Hungary.

https://www.transperfect.comhttps://thespeech.app

Adobe and Microsoft partner on GenAI for marketers

Adobe and Microsoft announced plans to bring Adobe Experience Cloud workflows and insights to Microsoft Copilot for Microsoft 365 to help marketers overcome application and data silos and manage workflows. The integration bring marketing insights and workflows from Adobe Experience Cloud applications and Microsoft Dynamics 365 to Microsoft Copilot, assisting marketers as they work in tools such as Outlook, Microsoft Teams and Word to develop creative briefs, create content, and manage content approvals. Initial capabilities will focus on:

  • Strategic insights in the flow of work: Campaign insights from Adobe Experience Cloud applications such as Adobe Customer Journey Analytics and Adobe Workfront, combined with Dynamics 365, the Copilot for Microsoft 365 experience helps marketers get quick insights and updates in Outlook, Teams and Word. Marketers can ask questions to get the status of a marketing project, understand campaign effectiveness, outstanding approvals, and actions to take.
  • Create campaign briefs, presentations, website updates and emails with relevant context: Marketers can also create imagery with Adobe Firefly generative AI and create content in Word that gets published directly to channels such as web and mobile.

https://news.microsoft.com/2024/03/26/adobe-and-microsoft-partner-to-bring-new-generative-ai-capabilities-to-marketers-as-they-work-in-microsoft-365-applications/https://blog.adobe.com/en/topics/adobe-summit

Ontotext updates LinkedLifeData Inventory solution

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, announced the latest version of its LinkedLifeData (LLD) Inventory solution, an accelerator for building knowledge graphs. Providing 200+ semantic-ready biomedical datasets, and available immediately, LinkedLifeData Inventory 1.4 serves as a resource for the scientific community, fostering multidisciplinary exploration and analysis across various facets of Life Sciences and Healthcare research.

Covering data in multiple modalities, such as genomics, proteomics, metabolomics, molecular interactions, and biological processes, LinkedLifeData Inventory allows healthcare and life sciences professionals to access public datasets and ontologies in Resource Description Framework (RDF) format to ensure semantic richness and interoperability, facilitate advanced data integration, semantic querying, and insight generation in alignment with FAIR data principles.

LinkedLifeData Inventory helps pharma companies discover and repurpose existing drugs to treat rare and newly identified diseases. Biotech companies leverage LLD Inventory to identify new drug targets and build model datasets, while research teams use it to efficiently navigate the huge volume and wide range of data about genes, proteins, compounds, diseases, etc. Enhancements include:

  • Automated data ingestion and updating
  • Entity linking and improved metadata governance
  • AI-generated Gene-disease link prediction datasets
  • Newly added datasets
  • Transformation of complex derivative datasets

https://www.ontotext.com/solutions/healthcare-and-life-sciences/linked-life-data-inventory/

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