Curated for content, computing, and digital experience professionals

Day: May 28, 2025

Aprimo launches AI agents to transform content operations

Aprimo, a provider of digital asset management and content operations software, announced the launch of new enterprise-grade AI Agents, designed to automate and optimize manual tasks and decisions across content operations. Functionality spans planning, metadata, quality control, brand compliance, content production, and transformation.

Aprimo AI Agents are purpose-built digital workers embedded directly into the platform. They reduce manual work, ensure governance, and power large-scale content transformation across formats, languages, and markets. The agents span five specialized categories:

  • Planning agents include the Campaign Brief Agent and the Content Brief Agent which use AI to generate strategic campaign and content briefs based on organizational goals.
  • Librarian agents automate content typing, taxonomy application, metadata creation, and enrichment.
  • Critic agents evaluate tone, clarity, and sentiment to support editorial optimization.
  • Compliance agents perform brand and regulatory checks on creative assets.
  • Production agents transform rich media and text, streamlining content creation, renditioning, and localization.

Aprimo’s agents are integrated across the platform, enabling fluid, automated progression workflow. Agent are designed to work both independently and in concert with others, dynamically adjusting based on context, business logic, and real-time usage data. The result is a self-optimizing system that adapts to enterprise workflows and scales with content demand.

https://www.aprimo.com

LandingAI upgrades Agentic Document Extraction for complex documents

LandingAI, a creator of agentic vision technologies, announced major upgrades to Agentic Document Extraction (ADE). Unlike traditional optical character recognition (OCR), ADE sees a PDF or other document visually, and uses an iterative workflow to accurately extract a document’s text, diagrams, charts, form fields, to produce an LLM-ready output. Agentic Document Extraction (ADE) goes beyond traditional OCR and fine-tuned LLMs by utilizing layout-aware parsing, visual grounding, and no-template setup, allowing for quick deployment and dependable outcomes without the need for fine-tuning or model training. ADE updates include:

  • ADE now delivers faster processing than the initial release. Users can now process hundreds to thousands of pages per minute.
  • ADE parses structured forms and dynamic layouts for classification and extraction, and now delivers higher accuracy when extracting data from complex tables and multi-column layouts for reliable results even with challenging formats.
  • Visual Grounding links outputs to exact document locations (page, region, coordinates) for traceability, validation, and compliance. ADE now offers zero-data retention for enterprise customers.
  • Whether for research or large-scale production, ADE streamlines complex document processing, reducing manual review and saving costs

ADE is now available through self-serve and enterprise plans. For enterprise customers, tailored pricing and customized request limits are available.

https://landing.ai/agentic-document-extraction

dbt Labs unveils new Fusion engine

dbt Labs unveiled the new dbt Fusion engine, built on Rust and equipped with native SQL comprehension, introduces a faster developer experience that delivers productivity, data velocity, and platform intelligence to drive cost savings. dbt Labs also launched its VS Code extension, unlocking access to Fusion for local developers, and is introducing a free, source-available version of the Fusion engine with a subset of features. The dbt Fusion engine now powers the entire dbt platform, from the CLI, to dbt Orchestrator, Catalog, Studio, and other dbt products, and introduces SQL comprehension and many other capabilities. 

Fusion is now available for eligible dbt projects on Snowflake, with support for Databricks, BigQuery, and Redshift coming soon. dbt Labs is also introducing its VS Code extension to access the the Fusion engine while developing locally.

In conjunction with the rollout of the Fusion engine, VS Code extension and dbt MCP server, dbt Labs launched features designed to bring data analysts into the dbt workflow, including:

  • dbt Canvas, a visual editing experience enabling analysts less familiar with dbt or SQL to create new and edit existing dbt models.
  • dbt Insights, an AI-powered query interface that allows asking questions about their data models in SQL or natural language.

https://www.getdbt.com/blog/dbt-labs-redefines-dbt-with-new-fusion-engine

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