The Gilbane Advisor

Curated for content, computing, data, information, and digital experience professionals

Category: Content management & strategy (Page 1 of 490)

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/

Franz Inc. announces AllegroGraph 9.1 with GraphTalker 2.0

October 19, 2026 /

Franz Inc., an early innovator in Artificial Intelligence (AI) and supplier of Graph Database technology for Neuro-Symbolic AI solutions, announced AllegroGraph 9.1, featuring GraphTalker 2.0, an advancement of its agentic natural-language interface for enterprise Knowledge Graphs.

The release enables more effective management of contextual knowledge that guides AI interactions, incorporate documents and images into graph-based analysis, and preserve reusable knowledge and analytical workflows in a persistent, learning enterprise memory layer. Through collaborative learning between the context graph and human domain experts, this persistent memory retains feedback, corrections, and insights that inform future analysis.

GraphTalker 2.0 is a new Context Management System that allows organizations to create, edit, version, and reuse domain-specific knowledge that helps AI agents understand enterprise data. This includes ontologies, relationships, business terminology, domain conventions, and proven query patterns. New capabilities:

  • GraphTalker 2.0: An upgrade of AllegroGraph’s agentic natural-language interface, with redesigned user experience and improved management of graph-based analytical workflows.
  • Enterprise Context Management: Create, edit, upload, and manage repository-specific context files that guide GraphTalker’s understanding of ontologies, business terminology, data relationships, and query conventions.
  • Context Versioning and Portability: Track modifications, compare file versions, restore previous content, and export or import context files with their version histories across repositories.

https://allegrograph.com/press-room

Gilbane Advisor 10-14-26 — open weight models, preservation gap

October 14, 2026 /

Featured articles from: Stephen O’Grady, and Monika Dvorackova.

Additional reading from: Aurélie Radom, Amanda Caswell, Kyle Soucy, and Stevie Bonifield.

News from: Madcap Software, Contentstack, Graphwise, and MongoDB.

Our next issue arrives 10/28/26.

All previous issues are available at https://gilbane.com/gilbane-advisor-index

Opinion / Analysis

How to think about open weight models

The race between open and closed AI models is well underway. Stephen O’Grady asks “But how should artifacts as complex as models be considered? What are the dimensions that will shape this race moving forward? There are many angles to consider, but the following are arguably the most important.” A really helpful piece. (13 min)

https://redmonk.com/sogrady/2026/09/03/open-weight-models/

The preservation gap in the AI stack

Why capability is advancing faster than reconstructability

We all know that managing, governing, and even understanding AI behavior, is a major challenge. In this article Monika Dvorackova is focused on “historical reconstructability”, a missing key capability for governance. Dvorackova clearly explains the problem in the first six paragraphs, then proposes a reference architecture to address it. (10 min)

https://www.oreilly.com/radar/the-preservation-gap-in-the-ai-stack-why-capability-is-advancing-faster-than-reconstructability/

All previous issues are available at https://gilbane.com/gilbane-advisor-index

More Reading

Content Technology News

Madcap announced the Fall 2026 release of MadCap Syndicate

New version brings AI-driven content visualization, automated content classification, MCP support for AI application and agent access, and expanded support for enterprise content formats.
https://www.madcapsoftware.com/products/syndicate/

Contentstack launches Contentstack Canoe

Shows how a brand is named, described and cited in AI search, benchmarks it against competitors, and ends run with a ranked list of fixes AI agents can act on.
https://canoe.contentstack.com/

Graphwise upgrades its AI Context Platform to help enterprises build context layers

The new release optimizes the creation of a comprehensive context layer for enterprises, which accelerates the integration of AI into multilingual content and data.
https://graphwise.ai

MongoDB launches MongoDB 9.0

MongoDB 9.0 strengthens the foundation MongoDB customers run on, Atlas Infinite removes limits on scale, and Atlas Agent Engine puts AI agents to work.
https://www.mongodb.com/company/newsroom/press-releases/mongodb-launches-mongodb-9-0-the-best-version-ever-built-and-atlas-infinite-for-ai-scale-demand

All our curated news is available at: 
https://gilbane.com/category/content-technology-news/

The Gilbane Advisor is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news most Wednesdays. View all issues at https://gilbane.com/gilbane-advisor-index/

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Madcap announced the Fall 2026 release of MadCap Syndicate

October 7, 2026 /

MadCap Software, Inc., a provider of multi-channel content authoring, management and publishing, announced the Fall 2026 release of MadCap Syndicate, an intelligent platform for content delivery, aggregation, and artificial intelligence (AI) enablement. The newest features enrich AI-powered search and analysis, as well as enhanced retrieval-augmented generation (RAG) for AI chatbots and agents.

Organizations rely on Syndicate to aggregate, manage and deliver corporate content—turning their knowledge silos into a unified, fully indexed, single source of truth. The enterprise-scale, cloud-based platform enables seamless integration with other systems and applications, advanced search and content filtering, enhanced analytics, role-based permissions and content governance, and robust compliance. The Fall 2026 release builds on the AI capabilities introduced in April 2026, with: 

  • New AI-Driven Content Maps enhance content awareness by letting users visualize the semantic relationships between different pieces of content.
  • Expanded, AI-Powered Classification feature adds new AI functionality to improve classification suggestions, support AI readiness, and increase content discoverability.   
  • New Model Context Protocol (MCP) support enables AI agents and AI applications to leverage the power of Syndicate’s semantic content retrieval via a common interface instead of requiring custom integrations.
  • Enhanced Portable Document Format (PDF) support now enables semantic analysis and RAG retrieval of individual PDF pages.

https://www.madcapsoftware.com/products/syndicate

Gilbane Advisor 9-30-26 — Information architecture, knowledge & memory

September 30, 2026 /

Featured articles from: Esther Kang, and Patrick Neeman.

Additional reading from: Timnit Gebru & Emily M. Bender, Tony Seale, Zach Wilson, and Apple SEAR.

News from: Liferay, WisdomAI & Teradata, TOPPAN Digital Language, and Fivetran + dbt Labs.

Our next issue arrives 10/14/26.

All previous issues are available at https://gilbane.com/gilbane-advisor-index

Opinion / Analysis

Information architecture is the foundation AI is starving for

Information architecture is hard, but the need is greater than ever. Patrick Neeman makes the case, and provides some advice. (12 min)

https://medium.com/user-experience-design-1/information-architecture-is-the-foundation-artificial-intelligence-is-starving-for-1d91fb5bf59f

The more accessible information is, the less employees remember

Unexpected findings from Esther Kang: “…participants who formed social connections before learning new material remembered about 40% less of the content but were roughly 65% better at recalling who was connected to whom.” (7 min)

Article: https://hbr.org/2026/09/the-more-accessible-information-is-the-less-employees-remember
Research paper: https://www.sciencedirect.com/science/article/pii/S0022103126000557

All previous issues are available at https://gilbane.com/gilbane-advisor-index

More Reading

Content Technology News

Liferay announces Liferay Content Marketing Platform

Content created in Liferay CMS is available in campaigns, and campaign tasks link directly to content assets; approval status and campaign context carry through automatically as content moves from brief to publication.
https://www.liferay.com/capabilities/cmp

WisdomAI and Teradata partner

WisdomAI’s agentic analytics platform natively embedded in Tera, delivers natural-language analytics, single-prompt Live Apps, and proactive AI agents across all enterprise data.
https://www.wisdom.ai/partners/teradata ■ https://www.teradata.com

TOPPAN Digital Language launches TDL Healthcare

Dedicated healthcare business brings together specialist expertise, secure workflows and AI-enabled content operations to support multilingual healthcare communications.
https://tdl-healthcare.com

Fivetran + dbt Labs announces new capabilities

Fivetran + dbt Labs makes dbt v2 and dbt State generally available, alongside Fivetran Context Layer, dbt Charts, and a new open lakehouse vision for greater flexibility across storage and compute.
https://www.getdbt.com/blog/fivetran-dbt-labs-announces-new-capabilities-to-make-enterprise-data-agent-ready-at-dbt-summit

All our curated news is available at: 
https://gilbane.com/category/content-technology-news/

The Gilbane Advisor is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news most Wednesdays. View all issues at https://gilbane.com/gilbane-advisor-index/

Subscribe | View online | Editorial policy | Privacy policy | Contact

Graphwise upgrades its AI Context Platform to help enterprises build context layers

September 29, 2026 /

Graphwise, a provider of AI context platforms, today announced major updates to its AI Context Platform, Graphwise Platform, which include new Adobe integration, built-in evaluation tools, and broader workflow automation features. The new release optimizes the creation of a comprehensive context layer for enterprises, which accelerates the integration of AI into multilingual content and data. With its latest software release, Graphwise now supports its customers more efficiently when transitioning AI from experimental pilot projects to scalable production systems.

Key platform enhancements include:

  • AI Trust & Rapid Onboarding: A new evaluation framework to measure, audit, and benchmark AI response accuracy, paired with automated unstructured data ingestion pipelines that convert raw enterprise documents into grounded context faster.
  • Enterprise Multilingual Governance: Native Adobe Experience Manager (AEM) integration for automated multilingual content tagging and cross-channel taxonomy synchronization to guarantee term integrity globally.
  • Unified Administration & Automation: A centralized administrative control center for enterprise user and license management, alongside a rebranded, n8n-powered workflow engine to simplify complex data pipelines and GraphRAG orchestration.
  • Mission-Critical Reliability: Comprehensive core performance and stability enhancements across the underlying graph database architecture, built to support high-concurrency enterprise deployments.

https://graphwise.ai

MongoDB launches MongoDB 9.0

September 29, 2026 /

MongoDB, Inc. announced MongoDB 9.0, and Atlas Infinite. MongoDB 9.0 is their next-generation engine underpinning MongoDB Atlas, the company’s managed cloud data platform, Enterprise Advanced, and Community Edition. Atlas Infinite extends that foundation with the elasticity modern applications and AI agents need.

MongoDB is renaming its current Atlas offering to Atlas Core. Atlas Core and Atlas Infinite are now two deployment options within the Atlas platform, and customers can use one or both depending on the types of workloads they’re dealing with. Adopting Atlas Infinite requires no application code changes, no new system to learn, and no disruptive migration. Atlas Infinite introduces a new pricing model tied to actual compute and storage consumption.

MongoDB 9.0, Atlas Infinite, and Atlas Agent Engine, build on each other: MongoDB 9.0 strengthens the foundation every MongoDB customer already runs on, Atlas Infinite removes limits on how that foundation can scale, and Atlas Agent Engine puts AI agents to work on top of both, governed and grounded in real-time data. Together with Voyage AI’s embedding and retrieval models, this extends MongoDB’s intelligent data platform for AI .

MongoDB 9.0 is generally available today, and Atlas Infinite is available in public preview. Teams can get started with Atlas for free.

https://www.mongodb.com/company/newsroom/press-releases/mongodb-launches-mongodb-9-0-the-best-version-ever-built-and-atlas-infinite-for-ai-scale-demand

Liferay announces Liferay Content Marketing Platform

September 23, 2026 /

Liferay, a provider of Digital Experience Platforms (DXPs), released Liferay Content Marketing Platform (CMP), a new offering that gives marketing teams a unified place to plan campaign content, coordinate work, manage content from brief to launch, and measure performance.

Marketing teams building and launching campaigns typically have to manage multiple tools. Content begins in the CMS of one vendor before moving to the campaign management tool of another via a connection layer that has to be configured and maintained. The brief, the audience, the approval status, don’t reliably cross from one system to the other, and duplicate permissioning systems and data that has to sync between platforms make the problem worse.

Because Liferay CMP runs natively on Liferay CMS, they share the same data model, permissions, and publishing infrastructure, with no connection to configure or maintain. Content created in Liferay CMS is immediately available in campaigns, and campaign tasks link directly to content assets, so approval status and campaign context carry through automatically as content moves from brief to publication. Digital asset management capabilities are built into Liferay CMS, so brand assets are accessible within the campaign workflow without a separate vendor or integration to manage.

 https://www.liferay.com/capabilities/cmp

WisdomAI and Teradata partner

September 22, 2026 /

WisdomAI announced its Agentic Analytics platform is now embedded natively in Teradata’s new agentic coworker for enterprise data work, Tera, available within Teradata’s Autonomous Knowledge Platform in the fall of 2026. The integration brings WisdomAI’s deterministic agentic analytics platform to Teradata’s enterprise customers, letting business users talk to their data in natural language, build live apps from a single prompt, and deploy proactive AI agents that monitor KPIs, surface root causes, and drive the next action across structured, semi-structured, and unstructured data alike.

WisdomAI was built for the architecture enterprises run: data that lives in many places, under many controls, and rarely moves. Its architecture reasons across structured warehouses, semi-structured logs, and unstructured documents in a single query without copying, re-pipelining, or exposing data to external models. Inside Tera, WisdomAI executes queries directly on Teradata’s governed data foundation, with security, lineage, and access controls intact, making agentic BI viable on regulated, high-performance workloads off-limits to AI-driven analytics.

The integration also brings WisdomAI together with Tera Context Engine, which gives agents governed business context including industry data models, canonical metrics, business logic, lineage, and policies. Pre-curated definitions and semantic context allow more work to move from probabilistic reasoning to deterministic execution.

https://www.wisdom.ai/partners/teradata ■ https://www.teradata.com

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