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Category: Content management & strategy (Page 17 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/

MadCap Software brings ChatGPT to MadCap Central  

MadCap Software, Inc., a provider of multi-channel content authoring, management and publishing software, announced the newest release of its MadCap Central content management platform featuring AI Assist. 

Available today, MadCap Central with AI Assist is a content management platform to provide integrated ChatGPT functionality optimized for authors and editors of technical content, such as documentation websites, knowledge bases, online Help, policy manuals, and training. With AI Assist, authorized users can now:

  • Make requests to ChatGPT and receive responses directly in MadCap Central.
  • Train ChatGPT on their existing content to receive responses in the company’s voice.
  • Edit and format the ChatGPT responses in the AI Assist interface.
  • Click to insert the text directly into a document on MadCap Central.
  • View the difference between original content and text edited by ChatGPT.
  • Translate content directly in the Content Editor.

Designed for teams and enterprises, the cloud-based MadCap Central platform combines the content authoring capabilities also found in MadCap Flare with functionality for publishing, project management, collaboration, translation, hosting and analytics. Because MadCap Central supports single-source publishing, the same content can be repurposed to deliver modern documentation websites, print brochures, online Help, knowledge bases, support sites, training and development content, and more.

https://www.madcapsoftware.com

Ontotext GraphDB now available in AWS Marketplace

Ontotext announced that its core product, GraphDB, is now available in the AWS Marketplace. Delivered through the AWS Marketplace, enterprises can simplify, globally implement and roll out graph databases to support cloud data migration from on-premises environments to AWS and other public cloud providers and remain compliant with stringent industry and privacy regulations.

Ontotext GraphDB makes building knowledge graphs faster, which provides users with an end-to-end platform for enterprise-wide data integration and discovery. GraphDB was designed for companies with decentralized data challenges who need data-driven analytics to drive insights for mission-critical business needs. GraphDB on AWS enables their joint customers to:

  • Develop a linking engine for enterprise data management, dismantling data silos and minimizing time to insights and time to market.
  • Harmonize data sources to allow effective data sharing, collaboration, and semantic data discovery to deliver ROI on information architecture spend.
  • Enable standardized data exchange, discovery, integration, and reuse to deliver 360 views of their business.

With a simplified billing process, customers can quickly get started with GraphDB to integrate disparate and disconnected structured and unstructured data.

https://www.ontotext.com/products/graphdb/

Sitecore unveils XM Cloud Plus and Sitecore Accelerate  

Sitecore, a provider of digital experience software, announced new offerings as part of its cloud-based digital experience platform. The new solutions, XM Cloud Plus and Sitecore Accelerate, are designed to help brands simplify their move to the cloud. With the launch of XM Cloud Plus, an extended digital-experience solution that brings together content management, AI-powered search, personalization, customer data management and analytics. Features include:

  • Content Creation and Management: User-friendly tools that allow teams to efficiently produce, optimize, and deliver captivating content to the right audience at the right time.
  • AI-Powered Search and Content Recommendations: Includes dynamic personalization and targeting strategies, offering omnichannel personalization, intelligent search recommendations, and access to personalization development tools.
  • Omnichannel Content Center: Teams can now efficiently manage all digital customer touchpoints from a single, unified content repository.
  • Seamless Integrations and Connectivity: XM Cloud Plus can be easily implemented within an existing tech stack.
  • Form Builder: Our drag and drop form builder for XM Cloud and XM Cloud Plus, provides a way to add data capture forms to their pages and components.

Sitecore also launched Sitecore Accelerate, to guide Sitecore XM and Sitecore XP customers to either XM Cloud or XM Cloud Plus and XC customers to OrderCloud.

https://www.sitecore.com

Contentful announces new products and capabilities

Contentful, a composable content platform, has incorporated a variety of generative AI-driven capabilities into the Contentful product and ecosystem and is introducing a number of capabilities that support better ways for digital teams to work together to harness the business value of content. Highlights include:

The Contentful Platform. Enhanced enterprise governance and security, including an expanded EU data residency footprint, can help address an organization’s data protection and compliance needs. The AI Content Type Generator, announced previously, streamlines the content model creation process so developers can accelerate time to market.

Contentful Studio. The new Experience Builder capability will provide a visual canvas whereby teams can create consistent, on-brand experiences using design system components and a structured content foundation. New AI enhancements include the AI Image Generator to create and manipulate images, and the improved AI Content Generator to quickly create content, translations, and SEO keywords.

The Contentful Ecosystem. New partnerships and enhanced integrations from AWS, Salesforce, SAP, Twilio Segment, commercetools, BigCommerce, Cloudinary, and WPP. Contentful AI advancements from ecosystem partners include the new AI Content Detector from Writer. SurferSEO delivers AI-driven SEO capabilities.

https://contentful.com/whats-new

Brightspot launches its next generation CMS solution 

Brightspot, a provider of content management solutions, announced a new version of its flagship product: Brightspot CMS version 4.7. New capabilities include:

Brightspot’s flexible Design System comes with hundreds of pre-built templates, styles, behaviors and interactions for Brightspot users to get started with. They can also choose to modify, extend or customize these pre-built assets with or without code, so your digital experiences fit your brand and can be easily changed over time.

The integration with OpenAI provides suggestions for headlines and full body text for articles and blog posts to make content creation easier, while enhanced search features allow users to make changes to content directly from the search view. With personalized content monitoring to stay updated on changes to specific content pieces and use in-platform production guides for step-by-step guidance on modules so you can navigate the CMS confidently.

Integrations with Shopify, Microsoft OneDrive, Google Drive, and SharePoint enable you to transform externally-created content into Brightspot CMS content types. AI-driven auto tagging and taxonomy capabilities reduce the manual burden of content categorization.

Brightspot CMS 4.7 introduces alerts that promptly notify of broken links, missing metadata, content inconsistencies and more, helping you proactively tackle potential issues.

https://www.brightspot.com/brightspot-cms/brightspot-4-7

WordLift introduces Content Generation Tool

WordLift announced a WordLift Content Generation Tool, technology for content generation that seamlessly integrates the capabilities of Large Language Models (LLMs) and incorporates a compound network of Knowledge Graphs (KG).

At the heart of WordLift is the Knowledge Graph. It’s a dynamic, interconnected web of information. It’s mapping every piece of information, fact, and relationship. It creates a rich tapestry that breathes life into your content. It isn’t only data; it’s a living, evolving entity that understands context, relationships, and nuances. By leveraging these graphs built using WordLift, we guide the LLMs, ensuring they remain on the right path, enriching content with depth and relevance, enabling a more reliable and accurate way of exploiting LLMs.

Key features and technologies: 

  • Structured Data Integration, making content more readable and recognizable for search engines like Google.
  • Knowledge Graph Creation, with the help of AI, allows search engines to comprehend the structure of your content.
  • Content Recommendation System can suggest products to users and integrate clickable cards, widgets, and shopping cart banners.
  • Generative AI-powered content creation to scale content production through AI within the company’s guidelines and TOV.
  • Integration with Data Studio facilitates the creation of shareable, comprehensive reports.

https://wordlift.io

Atlan launches Tag Management, enabling bi-directional tag sync

Atlan, an active metadata platform, has launched Tag Management, accelerating the shift of data governance to the left. 

As the modern data stack continues to evolve, data teams are faced with the challenge of ensuring the right people have the right access to the right data. Data teams need to ensure that they can confidently identify sensitive data across their data stack and protect it with the right access controls, while serving trusted data to data consumers.

Atlan’s Tag Management is a new way for data teams to manage data access across the modern data stack. Tags are important metadata that can be assigned to data assets to monitor sensitive data for compliance, discovery, and protection use cases.

For data teams that have tag-based access control built into their Snowflake Data Cloud, Atlan can now become the control plane for access control management. Once a data producer tags a data asset in Atlan or Snowflake, data teams can rest assured that the data asset is protected across the data ecosystem. 

https://atlan.com

Expert.ai launches Enterprise Language Model for Insurance (ELMI)

Expert.ai unveiled its “Enterprise Language Model for Insurance” – ELMI, a domain trained language model, to help insurers reach their process automation and digital transformation goals with the highest accuracy. By simplifying and powering the interaction with language data within the expert.ai Platform for Insurance, Insurers can access solutions that scale and take advantage of deep insurance domain expertise combined with the best and most cost-effective attributes of Large Language Models (LLMs) to automate core processes.

Through the expert.ai Platform for Insurance, ELMI supports key capabilities, including:

  • Generative Summarization: generate accurate summaries, condensing vast amounts of claim or policy information into concise insights, saving time and accelerating straight through processing or human review activities.
  • Zero Shot Extraction: extract crucial insurance data from structured/unstructured, handwritten/typed, good quality/bad quality sources with accuracy and automatically normalize output formats and add medical annotations such as ICD 9/10 medical codes.
  • Generative Q&A: answer questions quickly so underwriters and claims handlers can extract meaningful insights from proprietary case files by asking questions using natural language queries.
  • Cloud-agnostic: Offering the flexibility to deploy on any cloud infrastructure or on-premises, ELMI deployments easily meet insurer’s varying requirements.

https://www.expert.ai/expert-ai-launches-enterprise-language-model-for-insurance-elmi/

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