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Category: Content management & strategy (Page 2 of 479)

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/

Aprimo launches AI agents to transform content operations

Aprimo, a provider of digital asset management and content operations software, announced the launch of new enterprise-grade AI Agents, designed to automate and optimize manual tasks and decisions across content operations. Functionality spans planning, metadata, quality control, brand compliance, content production, and transformation.

Aprimo AI Agents are purpose-built digital workers embedded directly into the platform. They reduce manual work, ensure governance, and power large-scale content transformation across formats, languages, and markets. The agents span five specialized categories:

  • Planning agents include the Campaign Brief Agent and the Content Brief Agent which use AI to generate strategic campaign and content briefs based on organizational goals.
  • Librarian agents automate content typing, taxonomy application, metadata creation, and enrichment.
  • Critic agents evaluate tone, clarity, and sentiment to support editorial optimization.
  • Compliance agents perform brand and regulatory checks on creative assets.
  • Production agents transform rich media and text, streamlining content creation, renditioning, and localization.

Aprimo’s agents are integrated across the platform, enabling fluid, automated progression workflow. Agent are designed to work both independently and in concert with others, dynamically adjusting based on context, business logic, and real-time usage data. The result is a self-optimizing system that adapts to enterprise workflows and scales with content demand.

https://www.aprimo.com

LandingAI upgrades Agentic Document Extraction for complex documents

LandingAI, a creator of agentic vision technologies, announced major upgrades to Agentic Document Extraction (ADE). Unlike traditional optical character recognition (OCR), ADE sees a PDF or other document visually, and uses an iterative workflow to accurately extract a document’s text, diagrams, charts, form fields, to produce an LLM-ready output. Agentic Document Extraction (ADE) goes beyond traditional OCR and fine-tuned LLMs by utilizing layout-aware parsing, visual grounding, and no-template setup, allowing for quick deployment and dependable outcomes without the need for fine-tuning or model training. ADE updates include:

  • ADE now delivers faster processing than the initial release. Users can now process hundreds to thousands of pages per minute.
  • ADE parses structured forms and dynamic layouts for classification and extraction, and now delivers higher accuracy when extracting data from complex tables and multi-column layouts for reliable results even with challenging formats.
  • Visual Grounding links outputs to exact document locations (page, region, coordinates) for traceability, validation, and compliance. ADE now offers zero-data retention for enterprise customers.
  • Whether for research or large-scale production, ADE streamlines complex document processing, reducing manual review and saving costs

ADE is now available through self-serve and enterprise plans. For enterprise customers, tailored pricing and customized request limits are available.

https://landing.ai/agentic-document-extraction

dbt Labs unveils new Fusion engine

dbt Labs unveiled the new dbt Fusion engine, built on Rust and equipped with native SQL comprehension, introduces a faster developer experience that delivers productivity, data velocity, and platform intelligence to drive cost savings. dbt Labs also launched its VS Code extension, unlocking access to Fusion for local developers, and is introducing a free, source-available version of the Fusion engine with a subset of features. The dbt Fusion engine now powers the entire dbt platform, from the CLI, to dbt Orchestrator, Catalog, Studio, and other dbt products, and introduces SQL comprehension and many other capabilities. 

Fusion is now available for eligible dbt projects on Snowflake, with support for Databricks, BigQuery, and Redshift coming soon. dbt Labs is also introducing its VS Code extension to access the the Fusion engine while developing locally.

In conjunction with the rollout of the Fusion engine, VS Code extension and dbt MCP server, dbt Labs launched features designed to bring data analysts into the dbt workflow, including:

  • dbt Canvas, a visual editing experience enabling analysts less familiar with dbt or SQL to create new and edit existing dbt models.
  • dbt Insights, an AI-powered query interface that allows asking questions about their data models in SQL or natural language.

https://www.getdbt.com/blog/dbt-labs-redefines-dbt-with-new-fusion-engine

Box announces AI Platform to bring AI Agents to enterprise content

Box, Inc., an Intelligent Content Management (ICM) platform, announced the next evolution of its Box AI with a new generation of AI Agents designed to transform how organizations work with content. Customers will be able to leverage AI Agents for Search, Deep Research, and enhanced data extraction to uncover more value from their content in Box. Box also introduced a new Box AI Agent for Microsoft 365 Copilot that allows users to search, analyze, and act on Box content directly within Microsoft 365.

Box AI Agents are built with a layered approach, starting with enterprise knowledge found in Box, the Agents then leverage AI models from Amazon, Anthropic, Google, IBM, Meta, OpenAI, and xAI to best match the task’s demands. Every Agent is aligned to an objective, and follows a set of structured instructions that guide its actions. Users will be able to interact with Box AI Agents to extract insights from content and automate enterprise workflows. Box AI Agents can also be customized in Box AI Studio. 

Box AI Agents will be able to analyze large volumes of enterprise content to extract meaning and trends — automatically identifying the most relevant files using Box’s secure, permission-aware, retrieval-augmented generation (RAG) framework. 

https://blog.box.com/content-ai-virtual-summit-may-2025

Foxit launches enterprise Smart Redact Server

Foxit, a provider of PDF and eSignature products and services, announced Smart Redact Server, a new AI-driven platform built to automate the redaction of sensitive data at scale across enterprise environments. Designed for organizations that manage large volumes of regulated content, the solution enables legal, financial, healthcare, and compliance teams to detect and redact classified, personally identifiable (PII), and other sensitive information.

Smart Redact Server equips teams tasked with data privacy and regulatory compliance, including enterprise administrators, legal and compliance departments, financial institutions, and healthcare organizations with a scalable way to identify and redact sensitive content, whether it’s personally identifiable information (PII), financial records, or protected health data. Features: 

  • AI-powered detection and redaction of PII, financial, legal, and medical data 
  • Batch processing and scheduled scans automate compliance workflows, reduce manual effort 
  • Support for 47 file types, including PDF, DOCX, scanned images, HTML, JSON, XML 
  • Cloud-native SaaS platform with integration across OneDrive, SharePoint, AWS S3, and Box 
  • Zero data retention policy with AES-256 and SSL 2048-bit encryption for in-place, secure document processing 
  • Regulatory compliance with GDPR, HIPAA, CCPA, SOX, ISO 27001, and SOC 2 Type II 
  • Role-based team management, audit trails, and reusable redaction templates tailored by industry and region.

https://redact.foxit.com/

Algolia unveils AI Agents for Salesforce and Adobe

Algolia, a AI-native search and discovery platform, announced a new AI agent experience that illustrates how autonomous systems can act on real-time data across enterprise platforms. Demonstrated using Salesforce’s Agentforce and integrated with Adobe Experience Manager (AEM), Adobe Experience Platform (AEP), and Salesforce Commerce Cloud (SFCC), Algolia shows what’s possible when agents are equipped with live, structured context, without latency or hallucination.

Algolia semantically interprets user intent, retrieves structured content from its index containing data from multiple customer datastores, and assembles context-aware responses in real time—bridging the gap between front-end agent platforms like Agentforce and the backend systems that hold critical content and customer signals.

Algolia handles this orchestration through its AI-native search engine, which retrieves the most relevant information from its index, content that has been ingested and structured from platforms like Adobe Experience Manager (AEM), Salesforce Commerce Cloud (SFCC), and Adobe Experience Platform (AEP). Whether surfacing personalized media, live product availability, or behavioral attributes, Algolia assembles responses that reflect the full customer context and returns them in milliseconds. The result is an agent experience that feels intuitive, precise, and deeply responsive to user needs.

https://www.algolia.com/about/news/algolia-unveils-new-real-time-context-aware-ai-agents-across-salesforce-and-adobe

Optimizely updates OpaI

Optimizely, a digital experience platform (DXP) provider, introduced the next evolution of Optimizely Opal. With an all-new user interface and a direct embed across the Optimizely One product suite, Opal unlocks use cases for marketing and digital teams—from task automation, to brand content creation, and experimentation analysis.

Opal builds context windows by combining diverse data sources from an organization’s corporate knowledge, including existing assets, campaign performance, and experimentation results. Opal is enhanced by Optimizely’s domain expertise incorporating content and experimentation practices. Opal agents leverage dozens of tools built for marketing that integrate with external systems. Users can fine-tune with custom instructions and orchestrate these agents within workflows. Enhancements include:

  • A redesigned platform experience puts marketers in control with features like Instructions, a dedicated user interface to manage new and pre-built agents, and Chat which is persistent across all Optimizely products.
  • A pre-built tool library helps marketers with analyzing webpages, creating presentation decks, and conducting keyword research.
  • Specialized agents for marketing tasks, each equipped with instructions and tools to deliver results or complete actions on marketers’ behalf.
  • Agent workflows allow admins to combine multiple Specialized Agents to work together—either step-by-step or at the same time.

https://www.optimizely.com/ai

Bloomreach adds marketing and e-commerce features

Bloomreach, an agentic platform for personalization, announced features to transform AI-driven personalization and customer engagement across marketing and product discovery. From workflows to conversational search, these features highlight agentic AI.

Marketing:

  • Autonomous Marketing Agents: AI-powered agents to help marketers automate and execute the entire campaign creation process.
  • Recommendations+ : Analyzes each customer’s journey and behavior in real-time to recommend products that align with a customer’s preferences.
  • Contextual Personalization: Automates personalization through the delivery of individualized emails, mobile messages and onsite experiences to each customer.

⠀Conversational Shopping:

  • Search Triggered Conversations: Launches a personalized conversation directly from the search bar and acts as an integrated shopping assistant.
  • Embedded Conversations: Brings Clarity’s conversational capabilities directly to Product Detail Pages (PDPs) and Product Listing Pages (PLPs).

⠀Search:

  • Personalization Studio: Learns from live customer signals and optimizes in real-time to reflect current shopper intent.
  • Ranking Studio: Gives practitioners control to integrate critical business signals like margins or offline sales into search algorithms.
  • Multi-language search: Expands global reach by extending autonomous search across 33 supported languages.
  • Conditional Slot Merchandising: Elevates product placement by allowing the merchandiser to define their own business-driven conditions so AI can autonomously populate product grids and placements.

https://www.bloomreach.com/en/news/2025/bloomreach-unveils-the-features-ushering-in-the-agentic-era-of-marketing-and-ecommerce/

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