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

Category: Content technology news (Page 1 of 648)

Curated information technology news for content technology, computing, and digital experience professionals. News items are edited to remove hype, unhelpful jargon, iffy statements, and quotes, to create a short summary — mostly limited to 200 words — of the important facts with a link back to a useful source for more information. News items are published using the date of the original source here and in our weekly email newsletter.

We focus on product news, but also include selected company news such as mergers and acquisitions and meaningful partnerships. All news items are edited by one of our analysts under the NewsShark byline.  See our Editorial Policy.

Note that we also publish news on X/Twitter. Follow us  @gilbane

Liferay announces Liferay Content Marketing Platform

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

TOPPAN Digital Language launches TDL Healthcare

TOPPAN Digital Language (TDL), a global provider of language and content solutions for regulated industries, today announced the launch of TDL Healthcare, a dedicated business unit focused on helping healthcare organizations communicate effectively, compliantly and at scale across multilingual member and stakeholder audiences.

The launch brings together TDL’s healthcare expertise, specialist delivery teams and technology capabilities designed for managed care organizations, hospitals, health systems and other healthcare stakeholders. TDL Healthcare supports organizations managing complex multilingual content, including patient and member communications, annual enrollment materials, accessibility formats and regulated documentation.

TDL Healthcare provides translation and localization, interpreting, accessibility services, multilingual content production and AI-enabled language workflows. Services are supported by TDL’s STREAM platform and delivered through a quality and security framework that includes ISO 17100, ISO 18587, ISO 27001 and HITRUST certifications.

The business will also help healthcare organizations evaluate and adopt language AI responsibly. Through Managed AI by TDL, customers can identify suitable use cases, implement AI-enabled workflows and maintain oversight of quality, compliance and operational risk.

https://tdl-healthcare.com/

Fivetran + dbt Labs announces new capabilities

Fivetran + dbt Labs released dbt v2 and dbt State, delivering more speed and cost optimization, and introduced Fivetran Context Layer, new dbt Wizard experiences, dbt Charts, and an open lakehouse vision for greater flexibility across storage and compute.

dbt v2 is a Rust rewrite of the dbt engine built for the scale that teams run at today and for how agents write SQL. It parses a 10,000-model project faster and gives teams and agents real-time feedback, surfacing errors, column checks, and lineage before anything runs. With this release dbt is one engine with two versions: dbt Core v1, the python implementation, is dbt v1. Fusion, the Rust implementation, has become dbt v2. Both versions remain Apache 2.0-licensed and security-supported.

dbt State determines what has changed by checking warehouse metadata and model SQL, then builds, skips, clones or defers each run accordingly. This simplifies orchestration and allows engineers to iterate without complex development rituals, while reducing unnecessary warehouse compute.

Fivetran + dbt Labs’ vision for Open Data Infrastructure centers on a customer-owned data layer built on open formats, avoiding vendor lock-in for storage and compute so organizations can store data once and access it through different engines for different use cases.

https://www.getdbt.com/blog/fivetran-dbt-labs-announces-new-capabilities-to-make-enterprise-data-agent-ready-at-dbt-summit

Gilbane Advisor 9-16-26 — AI safety, content ledgers

Welcome to all the new subscribers that signed-up during our August break!

Featured articles from: Sayash Kapoor & Arvind Narayanan, and Michael Andrews.

Additional reading from:  MIT, Elsa Sklavounou, Bob DuCharme, and Zach Wilson.

News from: Storyblok, Adobe, Algolia & Vercel, and Fimo.

Our next issue arrives 9/30/26.

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


Opinion / Analysis

The AI-as-Normal-Technology view of loss of control incidents

A middle ground between the cybersecurity and AI safety communities

Sayash Kapoor and Arvind Narayanan’s timely essay is a must-read for anyone trying to make sense of the variety and intensity of views on the safety of AI. Their analysis of the issues and proposed layered approach to achieving AI safety are comprehensive and practical. (56 min)

https://www.normaltech.ai/p/the-ai-as-normal-technology-view

Show me the work: Overcoming AI’s impostor syndrome

When AI is involved in content development, readers don’t know who the real author is. It’s time to offer traceability through version histories.

The well-deserved lack of trust in AI is a serious threat to its growth, though there will be increasing efforts to find solutions for different applications.Michael Andrews argues that for GenAI content applications, there is role for blockchain ledgers to track provenance and content changes. (3 min)

https://storyneedle.com/show-me-the-work-overcoming-ais-impostor-syndrome/

More Reading

All Gilbane Advisor issues


Content Technology News

Storyblok introduces 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 by asking to see content that is stale, duplicated, missing translations or needs more work, and act on that information in the same conversation.
https://www.storyblok.com/mp/introduces-storyblok-agents

Algolia and Vercel Partner to bring AI-powered search natively to the Vercel Marketplace

New native integration lets developers provision, deploy, and manage Algolia’s AI Search platform directly from Vercel with unified billing and no separate credentials to manage.
https://www.algolia.com/about/news/algolia-and-vercel-partner-to-bring-ai-powered-search-natively-to-the-vercel-marketplace ■ https://vercel.com

Adobe announces new capabilities in Acrobat

The Adobe Productivity Agent in Acrobat now transforms complex documents into understandable visuals, audio and presentations.
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

Use Claude Code, Codex, Cursor, or whatever you already use. Fimo turns the output into an editable, autonomous-ready website your whole team can manage.
https://fimo.ai

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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Algolia and Vercel bring AI-powered search natively to the Vercel Marketplace

Algolia, an AI Search and Retrieval platform, announced a native integration with Vercel, an agentic infrastructure platform where humans and agents build software together. The integration lets developers provision an Algolia application directly from the Vercel dashboard turning search into a single deployment step instead of a separate setup project.

From the Algolia listing on the Vercel Marketplace, developers click “Install” to trigger an OAuth handshake between the two platforms, replacing the need to create a separate Algolia account. A setup wizard then walks through selecting a hosting region, optionally activating the Algolia Crawler for a Vercel domain, and choosing a plan.

Once confirmed, Algolia provisions the application automatically, and its credentials are synced directly into the environment variables of the connected Vercel project. Usage is billed through the developer’s existing Vercel invoice rather than a separate Algolia one. The Algolia dashboard remains a single click away via Vercel SSO for teams that want to browse indices, tune relevance, or configure the crawler.

Vercel’s Marketplace supports two integration models: connectable-account integrations, which link Vercel to an account a developer already holds elsewhere, and native integrations, which are provisioned and managed directly from the Vercel dashboard, with billing consolidated into the developer’s existing Vercel account.

https://www.algolia.com/about/news/algolia-and-vercel-partner-to-bring-ai-powered-search-natively-to-the-vercel-marketplace

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

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