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Category: Content management & strategy (Page 10 of 463)

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/

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/

Acquia launches Acquia Exchange

Acquia, a digital experience technology provider, announced the launch of an integration hub, Acquia Exchange, to enhance the flexibility and extensibility of its digital experience platform. Acquia Exchange offers customers a single destination to discover integrations, connectors, and modules that enhance Acquia solutions and connect them to those of other technology providers. This intuitive hub makes it easier for organizations to extend their digital experience platform (DXP) using technology from Acquia’s ecosystem of SaaS partners.

As an open and composable DXP, Acquia allows for integrations with a wide range of third-party marketing, sales, and digital technologies. This enables customers to build productive digital experiences that meet the precise requirements of their own audiences. Now, with Acquia Exchange, customers can explore integrations by company name, technology category, or Acquia product.

Acquia Exchange helps customers discover three different types of integrations: 

  • Native – Developed and supported by Acquia.
  • Partner – Developed and supported by an Acquia technology partner or a solution partner.
  • Community – Developed and supported by a third-party vendor.

https://www.acquia.com/integrations

MongoDB announces new Atlas Vector Search capabilities

MongoDB announced new capabilities, performance improvements, and a data-streaming integration for MongoDB Atlas Vector Search.

Developers can more easily aggregate and filter data, improving semantic information retrieval and reducing hallucinations in AI-powered applications. With new performance improvements for MongoDB Atlas Vector Search, the time it takes to build indexes is reduced to help accelerate application development. Additionally, MongoDB Atlas Vector Search is now integrated with fully managed data streams from Confluent Cloud to make it easier to use real-time data from a variety of sources to power AI applications.

MongoDB Atlas Vector Search provides the functionality of a vector database integrated as part of a unified developer data platform, allowing teams to store and process vector embeddings alongside virtually any type of data to more quickly and easily build generative AI applications.

https://www.mongodb.com/press/new-mongodb-atlas-vector-search-capabilities-help-developers-build-and-scale-ai-applications

Contentful launches composable content platform in AWS Marketplace

Contentful, a composable content platform for digital-first business, today announced that it has expanded its relationship with Amazon Web Services (AWS) to launch the Contentful Composable Content Platform in AWS Marketplace. AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software and or services that run on AWS. With Contentful, powered by AWS, customers can build and orchestrate content experiences across all of their digital channels and platforms through AWS Marketplace.

Now, AWS customers can license Contentful through AWS Marketplace for seamless integration of Contentful with their existing cloud infrastructure, in addition to streamlined procurement, consolidated billing and cost-saving opportunities. This enables streamlined management and enhanced performance of digital content, empowering customers to deliver omni-channel digital experiences with increased speed and agility, and ensuring reliability and consistency to meet evolving consumer demands. Contentful, powered by AWS, allows organizations to build digital experiences by creating, managing, and delivering content across websites, mobile apps, and digital platforms.

https://www.contentful.com/partners/technology/aws/

Writer gets $100 million series B to deliver generative AI to enterprises

Writer, a full-stack generative AI platform for enterprises, announced its Series B funding round of $100 million today. The round is being led by ICONIQ Growth with participation from WndrCo, Balderton Capital and Insight Partners, who led the Series A, and Aspect Ventures, who led the Seed. In addition, this round includes participation from several Writer customers such as Accenture and Vanguard.

The Series B funding will be used to further invest in the company’s own industry-specific large language models (LLMs), and to add agent and multimodal capabilities to its LLMs. Writer is built from the ground-up for the enterprise. It empowers the entire organization including support, operations, product, sales, HR, and marketing.

The platform includes Writer-built LLMs, Knowledge Graph to integrate with business data sources, and an application layer of chat interfaces, prebuilt templates, and composable UI options. Writer models can be self-hosted, which allows customers to get the security benefits of building their own model with the speed to value benefits of an end-to-end solution. Writer takes a full-stack approach that enables diverse use cases across the entire organization, not just solely on foundation models or an out-of-the-box app that only generates content.

https://writer.com

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