The Gilbane Advisor

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

Category: Computing & data (Page 1 of 101)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

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

September 16, 2026 /

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/

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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.

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

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

September 10, 2026 /

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

September 10, 2026 /

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

September 9, 2026 /

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

September 8, 2026 /

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

July 1, 2026 /

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

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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.

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

Adobe to acquire Topaz Labs

June 25, 2026 /

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-labs ■ https://www.topazlabs.com

New Graphwise Platform & Pulse initiative to accelerate trustworthy agentic AI

June 24, 2026 /

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

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