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Category: Content management & strategy (Page 1 of 476)

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/

MindsDB brings federated data access to Model Context Protocol

April 3, 2025 /

MindsDB announced comprehensive support for the Model Context Protocol (MCP) across both its open source and enterprise platforms. This integration positions MindsDB as a unified AI data hub that standardizes and optimizes how AI models access enterprise data, simplifying artificial intelligence deployment in complex data environments.

The Model Context Protocol, an emerging open standard developed by Anthropic, creates a universal way for AI applications to connect with data sources and tools. By implementing MCP, MindsDB enables AI applications and agents to run federated queries over data stored in different databases and business applications as if they were a single database. MindsDB’s implementation extends beyond basic MCP compatibility to:

  • Provide one-step querying across multiple sources with comprehensive audit capabilities
  • Integrate with existing enforcement mechanisms to maintain data governance
  • Enable complex workflows including multi-source joins, automated data transformations, and natural language query conversion
  • Use native integrations when MCP support is insufficient and optimizes queries for efficient execution at the data source

MCP support is available in both MindsDB’s open source and enterprise editions. The open source version provides core MCP functionality for developers and small teams, while the enterprise edition adds advanced security, governance features, and premium support for organizational deployments.

https://mindsdb.com

Contentful launches new CMS capabilities and Shopify partnership

March 31, 2025 /

Contentful launched new features and partnerships that, with Contentful’s content management system (CMS) capabilities, deliver a modern solution for creating digital experiences. Anchored in core content operations, enhanced by AI, and featuring data-driven AI-enabled personalization at the core of the digital experience platform (DXP).

Contentful’s new AI and personalization capabilities build on the company’s composable CMS, a core platform tailored to technical users, and Contentful Studio, a low-code digital experience-building product for marketing teams.

AI Actions is Contentful’s framework for AI-powered content operations, enabling marketers to embed generative AI models into any stage of the content lifecycle from creation to adaptation to publishing. AI Actions remove the friction of repetitive marketing tasks, like translations and localization for global audiences, one-click SEO, and alt-text generation.

Contentful Personalization will live directly within the Contentful web app. Customers can easily find and manage all their audiences, experiments, and personalized experiences in one unified workspace. By centralizing everything in a single command center, Contentful streamlines personalization, making it faster and more efficient for the marketing team to optimize customer experiences.

Contentful and Shopify also announced a new strategic partnership designed to connect and synchronize content and commerce systems.

https://www.contentful.com/newsroom/contentful-reveals-next-phase-of-growth-with-modern-digital-experience

Access Innovations releases Data Harmony 3.17

March 31, 2025 /

Access Innovations, Inc. released the Version 3.17 update for its Data Harmony software suite. The newest version of the software includes knowledge maps that illustrate the linkages between categories and terms in a taxonomy. The knowledge maps have color-coded legends that tie to main categories of terms within each taxonomy to make them easier to decipher at a glance.

Other improvements in Data Harmony Version 3.17 include a Google Gemini integration so that taxonomies can link to a GPT model for a generative AI conversational search. Also, a new online dictionary link allows an individual who is building a custom taxonomy to look up terms without having to leave the platform in which they are working.

The software focuses on improving the quality of LLMs (large language models). Once someone queries a GPT or generative predictive text system, that system queries the LLM. The system compiles words gathered from the LLM according to the algorithms in the GPT, so the results from AI are only as good as the quality of the LLM data. By focusing on that data, Access helps AI perform better with more accuracy and efficiency. The software categorizes knowledge assets to improve search precision.

https://www.accessinn.com/data-harmony-products/

Databricks brings Anthropic Claude models to platform

March 26, 2025 /

Databricks announced a five-year partnership to offer Anthropic models and services natively through the Databricks Data Intelligence Platform. Combined with Databricks Mosaic AI, the deal brings Anthropic’s Claude models directly to over 10,000 companies, alongside their business-critical, proprietary data. Anthropic’s newest frontier model, Claude 3.7 Sonnet, is now available via Databricks on AWS, Azure and Google Cloud Platform.

Databricks Mosaic AI provides the tools to build domain-specific AI agents on organizations’ data that deliver results with governance across the entire data and AI lifecycle, while Anthropic’s Claude models optimize for real-world tasks.

  • Build domain-specific agents on enterprise data: Anthropic Claude provides advanced reasoning, planning and problem-solving capabilities, helping customers build and deploy domain-specific AI agents that can handle large, diverse data sets with a large context window.
  • Integrated natively with the Data Intelligence Platform: Available via SQL query and model endpoint, Claude models integrate into the Databricks Data Intelligence Platform. Enterprises can customize Claude models with retrieval augmented generation (RAG) by automatically generating vector indexes or fine-tuning models with enterprise data.
  • Unified governance and responsible AI development: Combines Anthropic’s safety research and constitutional AI approach with Databricks’ Unity Catalog, a unified and open governance solution for data and AI.

https://www.databricks.com/company/newsroom/press-releases/databricks-and-anthropic-sign-landmark-deal-bring-claude-models

Bynder announces AI Agents

March 25, 2025 /

Bynder, a global provider of AI-powered enterprise DAM has announced its AI Agents, a suite of AI capabilities that will execute business-critical tasks such as content enrichment, discovery, transformation, and governance for strategic DAM deployments.

Powered by LLMs, Bynder’s AI Agents have the intelligence to deliver a higher degree of personalization and will understand the context and intent behind a user’s prompt to execute complex content management tasks.

Bynder’s Enrichment Agent can ‘see beyond the pixels’ to streamline business workflows to address business-specific needs and will help users extract information from assets and enrich those assets with meta-data based on user prompts more accurately. The Enrichment Agent will work together with Bynder’s Ecosystem Agent and 120+ pre-built integrations with upstream creative tools and downstream delivery platforms to create automated workflows.

Bynder’s Transformation Agent will help users modify and repurpose assets utilizing Gen-AI. Automating traditional asset editing tasks will enhance creative productivity, reduce content production costs, and accelerate time-to-market.

Bynder’s Governance Agent will enhance asset governance and compliance to ensure brand authenticity and safety. The Governance Agent will scan the web to identify expired, outdated, or non-compliant digital assets in seconds and can detect AI-generated content, providing clarity for brand compliance.

https://labs.bynder.com/experiments/ai-agents/

Algolia launches AI-powered Collections

March 25, 2025 /

Algolia, an AI Search and Discovery solution, launched AI-powered Collections, enabling merchandisers and content curators to generate immersive product discoveries and experiences. Integrated into Algolia’s dashboard, Collections makes it easy to organize, customize, and deliver targeted online experiences.

Algolia’s Collections reduce choice overload, guide users through intuitive navigation, and improve search relevance. Collections help users find products or services faster, even with vague or inconsistent search terms, and enhance the overall search experience. They can also improve conversion rates, inventory visibility, and SEO performance.

A wide range of use cases can leverage Algolia’s Collections using the Merchandising Studio or Dashboard to craft, customize, and launch campaign-specific or thematic product groupings on demand.

  • E-Commerce: Merchandisers and E-Commerce Managers can create curated product groupings based on themes.
  • Education: Administrators can assemble related courses, resources, and materials into curated sets.
  • Media & Entertainment: Programming Managers can curate videos, for example, into themed groups.
  • Software Development and Customer Support: Collections can be used by product documentation specialists to organize and deliver tailored support content and documentation.

Algolia’s Collections takes advantage of Algolia’s Dynamic Re-Ranking (DRR), that automatically optimizes product rankings based on real-time consumer behavior. By ensuring the most relevant and engaging products surface first.

https://www.algolia.com/products/ai-browse

Adobe launches Adobe Experience Platform Agent Orchestrator 

March 18, 2025 /

Adobe Experience Platform Agent Orchestrator enables businesses to build, manage and orchestrate AI agents from Adobe and third-party ecosystems. With AEP as the foundation, agents are built with a deep understanding of customer data and content to enhance decision-making, as well as support for multiagent collaboration, and decision science and language models that enable dynamic and adaptive reasoning. AEP data is brought together under Experience Data Model schemas, which derive meaning from unrelated data and enables impactful customer experiences.

Adobe unveiled a suite of Experience Platform Agents to be leveraged directly within Adobe enterprise applications. Built on Adobe Experience Platform Agent Orchestrator, these out-of-the-box AI agents increase the capacity of teams by enhancing applications, such as Adobe Real-Time Customer Data Platform (CDP), Adobe Experience Manager, Adobe Journey Optimizer and Adobe Customer Journey Analytics.

Adobe Experience Platform Agents will augment the capabilities of marketing and creative teams to drive personalization. Adobe introduced ten AI Agents, including: Account Qualification Agent, Audience Agent, Content Production Agent, Data Insights Agent, Data Engineering Agent, Experimentation Agent, Journey Agent, Product Advisor Agent, Site Optimization Agent, and Workflow Optimization Agent.

https://news.adobe.com/news/2025/03/adobe-launches-adobe-experience-platform-agent-orchestrator-for-businesses

Elsevier launches ScienceDirect AI

March 12, 2025 /

Elsevier, provider of advanced information and decision support, launched ScienceDirect AI, a generative AI tool for researchers. It is designed to transform the way researchers work by enabling them to instantly extract, summarize and compare trusted insights from millions of full-text articles and book chapters on ScienceDirect, a platform for trusted, peer-reviewed research.

Users can search and get answers from within the full-text of 14 million articles and book chapters, using their own words to describe what they need and why. ScienceDirect AI searches across the millions of documents in its index to provide a Summary Response with references, Source Snippets for each reference, and short Related Insights summaries while linking back to the original document. A conversational feature answers questions about the content of a specific full-text article or book chapter and allows researchers to ask further questions.

ScienceDirect AI’s Compare Experiments tool takes a set of articles and creates a table breaking down each experiment within them, drawing out aspects of each including goals, methods and results.

ScienceDirect AI’s use of third-party LLMs is private, no information is stored or used to train public models, and all data is stored in a protected and private environment exclusive to Elsevier.

https://elsevier.shorthandstories.com/sciencedirect-ai

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