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

Category: Content management & strategy (Page 1 of 489)

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/

Storyblok introduces Storyblok Agents

Storyblok announced the launch of Storyblok Agents, an AI-powered content operations layer built directly into the CMS.

With Storyblok Agents, content teams have a conversational way to research and work with their content. For example, they can ask to see content that is stale, duplicated, missing translations, or needs more work before it’s published. They are then able to act on that information in the same conversation and build custom agents for any recurring task that can be scheduled to run automatically.

Teams have the ability to choose which AI provider and model is used, and are able to use their own AI credentials to have control over the experience and token spend. Storyblok also offers an MCP Server that enables teams to use agents outside of the CMS by giving any compatible AI agent direct, structured access to a Storyblok workspace.

Storyblok Agents can be activated through Storyblok Labs on Growth plans and above, and an interactive demo is available.

https://www.storyblok.com/mp/introduces-storyblok-agents

Adobe Productivity Agent in Acrobat transforms complex documents into understandable visuals, audio & presentations

Adobe announced new AI capabilities powered by the Adobe Productivity Agent in Acrobat that help people and teams understand the information in their documents faster, create polished work more easily and access trusted knowledge at scale. New interactive reports and summary slides turn dense documents into compelling visuals, while personal podcasts and audio summaries make it simple to listen, learn and get up to speed on a single page or across dozens of documents. New enterprise capabilities help teams ask questions across document collections and surface structured insights from thousands of files, helping businesses scale document knowledge and make better decisions.

The new capabilities mark the next milestone in Acrobat’s evolution, transforming how people move from reading documents to knowing what matters and acting on it with confidence. Adobe’s productivity agent works across documents, data and systems to execute tactics and orchestrate everything necessary so people can get insights faster, generate rich content quickly and share knowledge with interactive experiences.

https://news.adobe.com/news/2026/09/adobe-productivity-agent-in-acrobat-now-transforms-complex-documents

Fimo launches autonomous websites, making AI code editable and self-improving

Fimo, an AI CMS built by the team behind Strapi, launched today. The platform works with any AI-generated code, from Claude Code to Codex, turning the code into self-optimizing autonomous websites.

Fimo’s native and custom agents work around the clock to publish SEO content, build internal links, fix schema issues, translate content, refresh stale content, and flag performance issues. Updates can be pushed through review processes and custom workflows, ensuring teams get all the agentic help they need, without humans fully exiting the loop.

Every agent action lands in a pull request, runs in an isolated environment, and respects the same role-based permissions as a human editor. Nothing reaches production without review.

Fimo works with any AI coding tool and any frontend framework. Whether you’re using Cursor and Svelte, or Codex and Nuxt.

Teams don’t need to change their development workflows either, as Fimo becomes a transparent layer over your PRs, reviews, and CI. Agents open branches and pull requests like any teammate normally would. Senior team members still gate every merge, and your repo stays the source of truth.

https://fimo.ai

Gilbane Advisor 7-1-26 — Agent experience, AI monoculture

Featured articles from: Sean Roberts, and Ayoub Nainia.

Additional reading from:  Michael Buckley, Michael Andrews, Ivan Pedrazas, and Paolo Perrone.

News from: Adobe & Topaz Labs, Canva, Graphwise, and Access Innovations.

Note: As usual, we won’t be publishing in August. We will probably publish one more issue in July.

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


Opinion / Analysis

Stop getting good at protocols. Get good at agent experience.

As Sean Roberts points out, the mistake of thinking a tool is a strategy  has plagued organizations, and embarrassed (at best) decision-makers for years. It’s a category mistake, not a question of how good or useful a tool is. Roberts provides some pointers on creating an agent experience strategy. (9 min)

https://www.oreilly.com/radar/stop-getting-good-at-protocols-get-good-at-agent-experience/

AI is becoming a monoculture

When everything reasons the same way, everything fails the same way

We’ve known of language model collapse — degradation caused by AI data recursively populating their own models as well AI data from any other language models they can find. Ayoub Nainia makes a compelling case for treating “model diversity as something worth protecting on purpose.” (7 min)

https://medium.com/data-science-collective/ai-is-becoming-a-monoculture-1e7c10c2d2eb

More Reading

All Gilbane Advisor issues


Content Technology News

Adobe to acquire Topaz Labs

Topaz Labs brings expertise in optimizing large, complex AI models to run directly on device, allowing Adobe to deliver faster, more responsive creative experiences and AI more accessible.
https://news.adobe.com/news/2026/06/adobe-to-acquire-topaz-labs ■ https://www.topazlabs.com

Canva introduces Canva Grow 2.0

Designed to help teams stop managing tools and start building better campaigns, Canva Grow 2.0 brings ad creation, publishing, and performance optimization into a single AI-native workflow.
https://www.canva.com/newsroom/news/canva-grow/

New Graphwise Platform & Pulse Initiative to accelerate trustworthy AI

The Graphwise Platform structures data into a web of explicit relationships to create a trusted Semantic Backbone that reduces AI hallucinations and replaces uncertainty with reliable facts.
https://graphwise.ai/news/taming-probabilistic-llms-using-deterministic-models-new-graphwise-platform-pulse-initiative-to-accelerate-trustworthy-agentic-ai/

Access Innovations releases DH Web & Data Harmony updates

DH Web is the first fully web-supported version of Data Harmony software. Data Harmony 3.18 includes AI responsiveness, easier indexing and parsing of terms.
https://www.accessinn.com/2026/06/23/access-innovations-inc-releases-full-web-version-of-award-winning-data-harmony-software-suite-and-announces-version-3-18-updates/

All content technology news


The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, data, web, and digital experience technology and information professionals. We publish recommended articles and content technology news. We do not sell or share personal data.

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Adobe to acquire Topaz Labs

Adobe today announced that it has entered into a definitive agreement to acquire Topaz Labs, an AI company specializing in video and image enhancement models. Topaz Labs provides a broad array of advanced AI models for video and image enhancement that analyze and improve existing visual content by sharpening detail, removing noise, restoring footage and increasing resolution, making them essential for any workflow that combines real-world capture with AI-generated imagery.

With Topaz Labs, Adobe will expand its video and image model offerings with enhanced models in Adobe Firefly, Firefly Services and Creative Cloud apps, giving creators, designers, video professionals, photographers and enterprises more tools to achieve quality across every format and workflow. Topaz Labs AI technology will be integrated across Adobe’s creative AI portfolio, giving creatives the ability to enhance footage, restore and remaster archival content, and blend AI-generated and traditionally captured content into seamless final productions. Topaz Labs will also bring its proprietary Neurostream technology that enables large, complex AI models to run locally on consumer devices, democratizing advanced image and video models previously limited to high-end systems or cloud-only usage and positioning Adobe to tap into the growing opportunity for efficient, on-device AI video.

https://news.adobe.com/news/2026/06/adobe-to-acquire-topaz-labshttps://www.topazlabs.com

New Graphwise Platform & Pulse initiative to accelerate trustworthy agentic AI

Graphwise, (the result of the merger of Ontotext with Semantic Web Company) announced the integration of the Graphwise Platform, which turns fragmented data into measurable, hallucination-free business outcomes. Rather than stitching together and maintaining different software applications to build a secure AI data pipeline, the Graphwise Platform provides organizations with a unified environment by automating the transition from raw, disconnected enterprise data to highly intelligent, autonomous AI.

Graphwise also announced the Graphwise Platform Pulse initiative, a quarterly enterprise initiative and webinar series designed to show organizations how to build a Semantic Backbone and create a reliable infrastructure for Enterprise AI.

The Graphwise Platform builds a semantic layer that connects siloed data, documents, and unique business logic into one trusted source. By giving GenAI a “business brain” that completely understands the business POV, the Graphwise Platform structures data into a web of explicit relationships to create a trusted Semantic Backbone that reduces AI hallucinations and replaces uncertainty with reliable facts.

The Graphwise Platform divides the journey into two phases:

Establish the Structural Foundation

  • Mapping Knowledge Through Taxonomies and Ontologies
  • Making Data Operational Through Graph Automation

Deploying the Semantic Layer and Powering Intelligence

  • Powering AI Applications with GraphRAG
  • Achieving Autonomous AI

https://graphwise.ai/news/taming-probabilistic-llms-using-deterministic-models-new-graphwise-platform-pulse-initiative-to-accelerate-trustworthy-agentic-ai

Canva introduces Canva Grow 2.0

Design has always been at the heart of Canva, and that’s meant more than making things look good. For marketing teams, it’s meant finding new ways to help them move faster, do more with less, and create work that actually drives results. But the tools for creating ads, publishing them, and understanding how they performed were always separate, leaving teams to stitch together their own workflow across platforms and start new campaigns largely from scratch.

Canva Grow 2.0 is designed to help teams stop managing tools and start building better campaigns, Canva Grow 2.0 brings ad creation, publishing, and performance optimization into a single AI-native workflow.

The foundation of Canva Grow 2.0 is an upgraded AI-powered ad creation experience that removes the specialist resource and production time that effective ad creation demands. Drop in your website and Canva Grow pulls in your business information, product visuals, brand colors, and audience signals to generate high-performing static and video ads in moments, ready to customize and launch.

Multi-Platform Ad Insights & Reports brings performance reporting into a single visual experience where you can identify top-performing creative, spot trends across campaigns, build custom reports, and share insights across your team without bouncing between platforms.

https://www.canva.com/newsroom/news/canva-grow

Access Innovations releases DH Web and Data Harmony 3.18 updates

Access Innovations, Inc. released DH Web, the first fully web-supported version of Data Harmony, as well Version 3.18 of the software. DH Web has several features designed to make it seamless to use. Its top navigation provides more workspace and is easier to navigate. Intuitive, active icons link directly to their functions instead of requiring multiple steps, and picklist fields are selectable. It allows easier saving of compliant terms without spaces and broader terms are all displayed with their hierarchical relationships.

DH Web features a flexible layout including screens that automatically resize or can be resized by the user. In addition, it can be operated in dark mode and features a modernized look across all pages. Use of the DH web help menu does not change or affect current work in progress. Help requests go directly to multiple members of Access Innovations’ support team for a faster response.

Data Harmony software version 3.18 is responsive to the needs of AI. It includes improvements that make it easier to create a duplicate project (clone) or rebuild a project. In addition, the software accommodates easier reindexing and parsing of terms as well as changing of non-preferred terms.

https://www.accessinn.com/2026/06/23/access-innovations-inc-releases-full-web-version-of-award-winning-data-harmony-software-suite-and-announces-version-3-18-updates/

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