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Category: Content management & strategy (Page 4 of 478)

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/

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

Syncro Soft releases Oxygen Content Fusion 8.0

March 11, 2025 /

Syncro Soft, developer of the Oxygen XML suite of products, released Oxygen Content Fusion 8.0, the web-based collaboration platform for content creation.

Version 8.0 turns Oxygen Content Fusion into an AI-driven tool designed to boost writer productivity by integrating with the Oxygen AI Positron Assistant. This version also consolidates the Oxygen Content Fusion position as a Content Management System for DITA content stored in a Git repository. 

Oxygen AI Positron Assistant offers a suite of AI features to enhance content creation and editing. Once installed, the AI Positron Assistant side-pane becomes accessible in the Personal Workspace, providing a range of AI-driven actions and features:

  • Content generation actions can be used to expand a DITA topic by refining its content, adding markup, and generating documentation based on referenced images using Vision support, to generate content based on uploaded images, produce alternate text for images in DITA, or generate MathML formulas.
  • Content improvement actions are available to proofread documents, validate documents and suggest fixes for identified issues, add semantic inline DITA markup to plain text content, modify content based on suggestions found in the comments.
  • Retrieval-Augmented Generation (RAG) support allows the AI Positron to find similar content from the personal workspace.

https://www.oxygenxml.com/content_fusion/whats_new.html

Implicit launches AI platform to transform product expertise

March 10, 2025 /

Implicit, a AI technology company, announced the launch of its AI platform designed to transform customer experience with AI-driven agent support and knowledge management. With a blend of agent-assist and self-service experiences, Implicit enables organizations to deploy support solutions tailored to their specific needs, improving efficiency and accuracy. The solution includes:

  • Implicit Knowledge: A self-service customer support chatbot that mirrors the expertise and empathy of top-tier technicians, allowing users to resolve issues without human intervention.
  • Implicit Support: An AI-powered product expert copilot that understands every documented product, issue, and resolution.

Addresses challenges faced by customer success and knowledge management teams:

  1. Ambiguous customer queries.
  2. Constantly evolving product lines and associated issues.
  3. The complexity of interconnected product ecosystems.
  4. The difficulty of managing distributed and private knowledge assets.
  5. Inconsistent, incomplete, or outdated knowledge bases.
  6. Multiple and often inconsistent authors contributing to knowledge repositories, including legacy documentation.

Implicit’s technology is built on knowledge graphs, GraphRAG, and chain-of-thought reasoning. By ingesting private product data – including product catalogs and taxonomies, problem and resolution situations, and error codes – the system intelligently maps relationships between products, their potential issues, and optimal solutions. The platform incorporates a human feedback loop for continuous improvement and provides citations for verification.

https://www.implicit.cloud/article/introducing-implicit-the-future-of-product-expertise

Coveo augments AI support

March 5, 2025 /

Coveo announced three advancements to augment AI, GenAI, and Agentic AI projects: Coveo for Agentforce, and expanded suite of Coveo APIs and the Coveo Agentic AI Design Partner Program.

Coveo for Agentforce natively integrates into Salesforce, grounding AI agents in contextually relevant, enterprise-wide knowledge—wherever it resides. Coveo for Agentforce is focused on enhancing deployments for large, complex enterprises, to help ensure it delivers the most relevant, up-to-date knowledge instantly. Beyond the first agentic packaged application, Coveo for Agentforce, Coveo’s portfolio continues to grow with both managed and custom AI solutions powered by the Coveo AI-Relevance Platform.

The Coveo suite of APIs has been enhanced to include the Search API, Passage Retrieval API, the Case Classification API and the new Answer API, providing developers with more flexibility to build AI-powered experiences that are precise, secure, and business-aware.

Coveo is also launching an Agentic AI Design Partner Program to collaborate with enterprises. This program allows participants to share their technology needs and challenges while working directly with Coveo’s Product team to tackle the fundamental problems AI applications continue to face.

Coveo for Agentforce is available today in the AgentExchange. 

https://www.coveo.com/en/company/news-releases/2025/agenticai

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