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TOPPAN Digital Language launches TDL Healthcare

September 22, 2026 /

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

September 16, 2026 /

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

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

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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