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Category: Content management & strategy (Page 2 of 468)

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/

Box enhances Box AI for intelligent content management

Box, Inc. announced that end user queries in Box AI for Hubs, Documents, and Notes will be unlimited for customers on its Enterprise Plus plan. Box also unveiled a new set of features in Box AI that includes an integration with GPT-4o, support for image and spreadsheet files, and the Box AI for Metadata API.

  • Integration with GPT-4o: Box plans to support the new GPT-4o model in Box AI. GPT-4o provides advanced capabilities that help Box Hubs deliver higher quality answers and increased support for over 20 additional languages. Box Hubs users will also benefit from enhanced text-related functionalities including multimodal understanding, ethical and sensitive content handling, and task-specific adaptation.
  • Support for additional file types: Box will support natural language queries on image file formats. Users will be able to execute commands for precise data analysis in spreadsheets, simplifying interactions with large structured data sets.
  • All-New Metadata API: Developers will be able to integrate Box AI with custom applications using the new Box AI for Metadata API to automatically extract key information from documents. Customers will be able to automate processes based on file metadata, extract key fields from unstructured content, and save information to external applications such as Salesforce.

https://blog.box.com/box-announces-powerful-enhancements-box-ai-intelligent-content-management

RWS launches Trados Studio 2024

RWS, a provider of technology-enabled language, content and intellectual property solutions, announced the launch of Trados Studio 2024. The latest version of the computer-assisted translation (CAT) tool addresses the evolving needs of users on multiple fronts with access to new AI capabilities, enhanced accessibility features and multiple usability improvements:

New AI capabilities: Trados Studio 2024 gives users access to a range of AI features that help them to work smarter and produce higher quality translations. One of these is Trados Copilot – AI Assistant which brings generative translation capabilities to every user, allowing them to harness Large Language Models (LLMs) in a variety of ways to assist translation. 

New accessibility features: With the accessible, feature-rich CAT tool, the ability to complete a project with screen readers, visually impaired users can now create and manage projects, perform translation and generate target files easily. These advancements in accessibility help create equal opportunities for all and also improve usability and productivity across the supply chain. 

Improved cloud and desktop alignment: Along with hundreds of enhancements, RWS has released a new Manager view, providing a more unified way to work with files and projects in a single window with a clean, modern interface. 

https://www.trados.com

Graph analytics enhanced by GraphAware & Senzing

Senzing announced a partnership with GraphAware, a provider of connected data analytics platforms built on Neo4j. This partnership integrates Senzing entity resolution capabilities into GraphAware Hume, GraphAware’s graph-based enterprise intelligence platform, offering valuable data insights and competitive advantages.

GraphAware clients include financial institutions, intelligence agencies, law enforcement agencies, cyber defense advisories and diverse research organizations. GraphAware Hume allows both analysts and data scientists to easily visualize and monitor complex relationships, detect patterns of suspicious activities, and perform powerful machine-assisted link analysis.

Senzing provides a purpose-built AI for entity resolution. With Senzing entity resolution incorporated into the Hume data intelligence platform, users can:

  • Better validate identities
  • Mitigate signal-to-noise challenges in their data
  • Map connections between individuals and other legal entities (e.g., to discover and clarify Ultimate Beneficial Ownership UBO relationships)
  • Build comprehensive 360-degree views of entities

GraphAware Hume connects a wide range of siloed data sources, ingesting large amounts of structured and unstructured data to establish a single source of truth: the Entity Resolved Knowledge Graph (ERKG). With powerful graph visualization capabilities and the ability to seamlessly connect to services like geospatial data from OpenStreetMap and other data providers, GraphAware Hume enhances insights and intelligence across many critical applications.

https://senzing.com/graph-analytics-graphaware/

Acrolinx launches new AI capabilities

Acrolinx, experts in SaaS enterprise content governance, launched new generative AI capabilities to maximize productivity benefits while mitigating risks that AI poses. After a successful Beta program with over 20 enterprise customers, Get Suggestions, AI Assistant, and AI Guardrails are publicly available for organizations to use AI confidently and securely. 

Get Suggestions accelerates the writing and editing phase of content creation. With Get Suggestions, most content improvement recommendations have clickable fixes to align content to complex enterprise standards. Get Suggestions saves writers and editors time, as well as improves content quality based on your organization’s own style guide and content compliance needs. 

AI Assistant accelerates the ideation phase of the writing process. With AI Assistant, content is generated that’s already aligned with your company’s writing standards. Writers get a chatbot experience to request the generation of content.

AI Guardrails for your content makes sure that AI-generated writing is compliant with standards in private deployments of LLMs. AI Guardrails for content standards ensures only high-quality content is used for fine-tuning LLMs, checks the quality of AI-generated content before it’s presented to writers, stops low-quality content from getting published, and checks the quality of content already published.

https://www.acrolinx.com

Netlify announces Adobe Experience Manager headless integration

Netlify, a platform for modern web development, announced a new Adobe Experience Manager integration to ease the transition from legacy web architecture to composable architecture. Now, AEM users will be able to leverage Netlify headless CMS to accelerate business goals, streamline workflows, and reduce the number of touchpoints needed across multi-channel projects.

The AEM integration built by Netlify partner VShift benefits business level decision-makers, developers, marketers, and customers throughout the migration process. The new tool will:

  • Deliver improved speed to market by facilitating publishing pages and content quickly and efficiently
  • Connect to composable tools to improve workflows
  • Ensure improved personalization capacity in components and branding
  • Enable a seamless integration of omnichannel touchpoints

In addition to the AEM Integration, Netlify and its partner ecosystem offer several accelerators to ease the transition from monolithic to composable architecture:

GEAR Accelerator by Valtech is tailored for the manufacturing industry focusing on aftermarket commerce via customer portals.

XCentium’s Composable Accelerator offers customizable solutions for the financial services industry with multi-language support and technology integration.

CAFE Accelerator by Apply Digital helps enterprises accelerate project timelines with a flexible suite of tools and integrations. Ideal for rapid proofs of concept and solution-led projects.

https://www.netlify.com/press/netlify-announces-adobe-experience-manager-headless-integration

Adobe updates Acrobat with GenAI and chat across document types

Adobe announced Acrobat customers can now create and edit images in PDFs using text prompts, powered by Adobe Firefly, along with new features in Acrobat AI Assistant integrated into Reader and Acrobat workflows that allow customers to ask questions, get insights, and create content from information across groups of PDFs as well as other document types.

The new Acrobat features enable customers to easily enhance existing images and generate new images in their PDFs with generative AI without leaving the app. Features include: 

  • Edit Image in Acrobat offers easy-to-use tools like the Firefly-powered Generative Fill, Remove Background, Erase and Crop to add, remove and revitalize content in document images in a snap. From erasing unwanted objects to removing backgrounds or adding new images, customers have full, easy control over the visuals in their PDFs.
  • With Generate Image in Acrobat, customers can add new images to their PDFs, powered by Adobe’s Firefly Image 3 Model. Customers can quickly adjust the size and style and add images to any part of a document.

Adobe is offering free, full access to all Acrobat AI Assistant features June 18 – June 28. Early access pricing for the AI Assistant add-on subscription starts at US$4.99 per month.

https://news.adobe.com/news/news-details/2024/Adobe-Reimagines-Acrobat-Bringing-Firefly-AI-to-PDFs-and-Expanding-Use-Across-More-Document-Types/default.aspx

Contentstack updates personalization tools

Contentstack, a creator of the Headless CMS and the Composable DXP category, announced a new solution to address personalization challenges for digital marketers: an overreliance on IT, generic AI content, and manual processes that impede scale. Contentstack’s solution includes new features that are integrated within the headless CMS as well as “no-fail promise” customer support services:

  • Personalize – An A/B/n testing and segmentation engine that removes obstacles tied to the implementation and operationalization of personalized content.
  • Brand Kit– A writing assistant that produces brand-relevant, AI-generated content at scale to align with the brand’s style, messaging, and defined Voice Profiles.
  • New extensions for Contentstack Automate – Teams can now develop fully automated sequences to address the complete lifecycle of personalized content and experiences.
  • Expanded Academy and new AI Accelerator program– Additional tools, training, and support to help achieve success on practical AI use cases within weeks.

Brand Kit sits on top of AI Assistant, the native LLM launched last year. It allows marketers to create high-quality, AI-generated content specific to the brand across all channels and platforms. The process is also fully automated via new AI connectors within Contentstack Automate.

https://www.contentstack.com/solutions/personalization

Snowflake announces enhancements to Snowflake Cortex AI, Snowflake ML, and more

Snowflake announced new innovations and enhancements to Snowflake Cortex AI to unlock the next wave of enterprise AI for customers to create AI-powered applications. This includes new chat experiences, which help organizations develop chatbots so they can talk directly to their enterprise data and get the answers they need faster. In addition, Snowflake is democratizing how any user can customize AI for specific industry use cases through a new no-code interactive interface, access to large language models (LLMs), and serverless fine-tunings. Snowflake is also accelerating the path for operationalizing models with an integrated experience for machine learning (ML) through Snowflake ML, enabling developers to build, discover, and govern models and features across the ML lifecycle. Snowflake’s unified platform for generative AI and ML allows every part of the business to extract value from their data.

Snowflake is unveiling two new chat capabilities, Snowflake Cortex Analyst and Snowflake Cortex Search, allowing users to develop these chatbots in a matter of minutes against structured and unstructured data, without operational complexity. Cortex Analyst, built with Meta’s Llama 3 and Mistral Large models, allows businesses to build applications on top of their analytical data in Snowflake. Other announced enhancements include Snowflake Copilot, Cortex Guard, Document AI, and Hybrid Tables.

https://www.snowflake.com/news/snowflake-brings-industry-leading-enterprise-ai-to-even-more-users-with-new-advancements-to-snowflake-cortex-ai-and-snowflake-ml

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