The Gilbane Advisor

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Category: Content management & strategy (Page 1 of 485)

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 updates MadCap Syndicate platform

April 2, 2026 /

MadCap Software, Inc., a provider of multi-channel content authoring, management and publishing software, introduced the Spring 2026 release of MadCap Syndicate, a platform for content delivery, aggregation, and artificial intelligence (AI) enablement. The new version adds AI-powered features for enriching users’ experiences, managing content, maximizing the quality of AI-generated content and analysis, and improving the effectiveness of AI agents.

  • AI-Powered Semantic Search. Syndicate supports AI-powered semantic search that understands the context of content whether answering a user’s question or conducting duplicate content analysis.
  • Portals enable the creation of customized public or private portals that provide top-to-bottom control of the user experience and leverage the power of Syndicate’s semantic AI.
  • Tech Docs Integration provides direct, seamless connections to MadCap Flare and MadCap IXIA CCMS for technical documentation, complementing learning and development content, further facilitating content unification.
  • Automated Content Classification and Tagging driven by AI and machine learning improves search and analysis by content teams and AI agents.

All features of the Spring 2026 release of MadCap Syndicate are available today, except semantic duplication analysis and automated content classification and tagging, which will be released in April 2026.

https://www.madcapsoftware.com/press-release/madcap-syndicate-brings-ai-enablement-to-corporate-content

Box unveils the Box Agent

April 2, 2026 /

Box, Inc., an Intelligent Content Management (ICM) platform, announced the general availability of the Box Agent, an AI-powered capability that takes natural language instructions to reason and complete complex tasks, allowing enterprises to work more effectively with unstructured data. Acting as a unified AI engine across Box, the Box Agent leverages the latest advanced reasoning models to securely search company files, analyze and synthesize critical data, and generate new content, while respecting Box’s enterprise-grade security, governance, and permissions controls. Box also announced enhancements to Box AI Studio, allowing admins to develop custom agents tailored to complex, business-specific use cases.

Leveraging AI capabilities from OpenAI, Anthropic, and Google, the Box Agent is able to autonomously understand a user’s intent based on their prompt, find the right content needed to execute that task, reflect on the work it needs to do, and iterate until it can successfully answer the user’s request. This all takes place within Box AI’s new conversational interface, which provides the ability to revisit previous sessions where users can iterate, refine, and return to work from where they left off.

Customers on the Enterprise Plus and Enterprise Advanced plans can start using the Box Agent today.

https://www.boxinvestorrelations.com/news-and-media/news/press-release-details/2026/Box-Unveils-the-Box-Agent-to-Transform-How-Enterprises-Work-With-Content/default.aspx

AI agents can now act directly on WordPress.com sites

March 20, 2026 /

WordPress.com, Automattic’s hosted website platform built on the open source WordPress software, announced the launch of new write capabilities for its Model Context Protocol (MCP) server. The update enables AI agents — including Claude, ChatGPT, and Cursor — to create, edit, and manage content on WordPress.com sites directly through natural conversation, on behalf of users.

With today’s addition of write capabilities, WordPress.com has extended the agentic web. AI agents can now actively build and manage websites. Where the original MCP server let AI agents read, the new write and content authoring capabilities let them act: drafting posts, editing pages, and managing content on behalf of users, all with explicit user confirmation at every step.

The feature was designed with safeguards to ensure users remain in control. Updates require explicit user confirmation before any action is taken, and changes to already-published content are clearly flagged as going live immediately. The MCP server is opt-in only, with nothing enabled by default.

The MCP write capabilities are available now. The feature is compatible with any MCP-enabled AI agent WordPress.com plans. The MCP server is available to all paid WordPress.com plan users at no additional cost.

https://wordpress.com/blog/2026/03/20/ai-agent-manage-content/

Aprimo unveils Agentic DAM

March 17, 2026 /

Aprimo, a provider of digital asset management and content operations solutions, today announced the launch of Aprimo’s Agentic DAM, the next evolution of its digital asset management designed for enterprises, where AI agents increasingly discover, interpret, and act on content.

Aprimo’s Agentic DAM enables AI agents to become first-class content consumers. These agents create, review, govern, and personalize content, while maintaining human oversight and continuous compliance. 

Aprimo’s agents operate persistently across the entire content operations process, from planning, creation, and enrichment to review, transformation, and distribution. Governance is applied continuously, not only at ingestion but at runtime across upstream creative tools and downstream marketing systems.

Aprimo organizes its Agentic DAM into specialized AI agent categories, including Planning Agents, Librarian Agents, Critic Agents, Compliance Agents, and Production Agents. Together, these agents automate repeatable tasks, enrich metadata, validate claims, generate variants, and personalize content dynamically.

Aprimo’s Agentic DAM not only governs content within the DAM repository but extends intelligence across the broader marketing and creative stack. Agents can operate upstream in creative tools to review work in progress and downstream in CMS and campaign systems to validate assets at the point of deployment.

https://www.aprimo.com/platform/digital-asset-management

Adobe and NVIDIA announce strategic partnership

March 16, 2026 /

Adobe and NVIDIA today announced a strategic partnership that will bring together Adobe’s creative and marketing workflows, models and technology and NVIDIA’s open models, libraries, research and accelerated computing to deliver the next generation of foundational Adobe Firefly models and creative, marketing and agentic workflows.

Firefly models will be built on NVIDIA’s computing technology and tap into NVIDIA CUDA-X, NVIDIA NeMo libraries, NVIDIA Cosmos open models, and NVIDIA Agent Toolkit software to enable interactive, high-quality creation.

Adobe and NVIDIA will also work together on NVIDIA NemoClaw— an open source stack that simplifies running OpenClaw always-on assistants more safely.

With NVIDIA, Adobe is launching a cloud-native, brand identity-preserving 3D digital twin solution (public beta). The solution creates virtual replicas of physical products that act as permanent digital identities for marketing and commerce experiences. Integrating NVIDIA Omniverse libraries into Adobe technologies, the collaboration expands support for 3D digital twin workflows built on OpenUSD for marketing content automation.

Adobe will also harness NVIDIA AI infrastructure, AI libraries, services and models to optimize its AI-powered tools across creativity, productivity and customer experience orchestration.

Adobe and NVIDIA Announce Strategic Partnership to Deliver the Next Generation of Firefly Models and Creative, Marketing and Agentic Workflows

Databricks launches Genie Code

March 11, 2026 /

Databricks launched Genie Code, an autonomous AI agent that changes how data work gets done. Genie Code can carry out complex tasks such as building pipelines, debugging failures, shipping dashboards, and maintaining production systems. Just as agentic coding tools have transformed software engineering, moving developers from autocomplete-style assistance to agent-driven development, Genie Code brings the same paradigm shift to data engineering, data science, and analytics.

Genie Code is a new addition to Genie, which lets any knowledge worker chat with their data and get trusted answers instantly using the context and semantics captured by Unity Catalog. Genie Code extends this approach to data professionals, handling the complex engineering required to go from idea to production across all enterprise data.

Genie Code helps teams bridge the context gap to ensure the high levels of accuracy and governance required for production environments:

  • Handles full ML workflows end-to-end.
  • Accounts for differences between staging versus production environments, builds workflows for change data capture and applies data quality expectations.
  • Monitors Lakeflow pipelines and AI models to triage failures and investigate anomalies.
  • Integrated with Unity Catalog, enforces governance policies and access controls. It understands business semantics and audit requirements and federates enterprise data, including data from external platforms.

https://www.databricks.com/company/newsroom/press-releases/databricks-launches-genie-code-bringing-agentic-engineering-data

AODocs launches External Portals to securely streamline document collaboration

March 4, 2026 /

AODocs, an enterprise document management platform, announced the launch of AODocs External Portals, to enable organizations to collaborate with external parties while maintainin document control and audit-ready traceability.

With External Portals, organizations can share documents, request files, and track progress in one unified space—eliminating reliance on out-of-control shadow IT, ad hoc email threads, consumer file-sharing links, or disconnected third-party tools.

The new capability is designed to simplify external collaboration while remaining fully integrated with AODocs’ document control platform, preserving the rigorous governance, security, and compliance enterprises require from their DMS (Document Management System).

As organizations increasingly work with vendors, customers, auditors, and other third parties, document exchange has become a point of risk. Files are duplicated across inboxes and unmanaged drives, processes sprawl across multiple unapproved tools, and audit trails break.

AODocs External Portals reduce these “shadow IT” risks by keeping all external exchanges within a single, unified platform—where external collaboration and document control processes live together in a governed, traceable, and policy-consistent environment.

External Portals are designed for high-stakes, document-heavy processes —from vendor onboarding and loan processing to HR workflows and case management— allowing organizations to simplify external collaboration while preserving security, compliance, and traceability.

https://www.aodocs.com/products/document-management-system

Flux voice AI platform now supports on-the-fly configurations

March 3, 2026 /

Deepgram announced Flux “on-the-fly configuration” for its voice AI platform, which lets developers dynamically update speech recognition settings — such as keyterms and end-of-turn detection — during a live voice conversation without disconnecting or restarting the audio stream.

A support call moves from identity verification to troubleshooting to scheduling a follow-up. A healthcare call shifts from intake questions to medication names to billing. Each phase has different intents, different critical phrases.

Today, teams configure their ASR (automatic speech recognition) once at connection time and live with it for the entire call. They load every keyterm they might need upfront, diluting biasing effectiveness across the board, or they keep the list minimal and accept lower accuracy on critical phrases. When the conversation shifts enough that the configuration truly doesn’t fit, the options are disconnecting and reconnecting mid-call or managing multiple concurrent streams and swapping between them.

Now your ASR configuration can shift with the conversation. No more choosing between loading every keyterm upfront or accepting lower accuracy. No more static configuration that’s “good enough” for the whole call. One connection that adapts as the call unfolds.

On-the-fly configuration is available now in the Flux v2 WebSocket API.

https://deepgram.com/learn/flux-on-the-fly-configuration

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