The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Gilbane Advisor 6-4-25 — Knowledge metagraphs, hello GEO

This week we feature articles from Seema Amble & Zach Cohen, and Volodymyr Pavlyshyn.

Additional reading comes from Jon Udell, Cai Parry-Jones, Thomas H. Davenport, Roger W. Hoerl & Thomas C. Redman, and Steve Jones.

News comes from LandingAI, MindsDB, Aprimo, and dbt Labs.

Our next issue arrives June 11.

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


Opinion / Analysis

The evolving landscape of knowledge graphs: A journey towards smarter AI memory

Volodymyr Pavlyshyn takes you on an engaging tour of graph models, pointing out the strengths and weaknesses of each along the way. He then postulates a “practical solution” that would combine various features to manage the complexities of Graph of Graphs (GoG) / metagraphs. (18 min)

https://ai.plainenglish.io/the-evolving-landscape-of-knowledge-graphs-a-journey-towards-smarter-ai-memory-7e24e45a5fba

That LLMs are an ineludible threat to search in general is not news, but Seema Amble & Zach Cohen dig into what it means specifically for SEO vendors and for marketers. As VCs they are naturally looking at the new generation GEO replacements —  there are more than you might think — and for “monopolistic potential”. (6 min)

https://a16z.com/geo-over-seo

More Reading

All Gilbane Advisor issues


Content technology news

LandingAI upgrades Agentic Document Extraction for complex documents

Agentic document extraction captures different form fields, tables, checkboxes, and provides accurate descriptions for these elements based on their visual layout.
https://landing.ai/agentic-document-extraction

MindsDB launches open-source AI interface for databases and documents

Enables natural language conversations with enterprise datasets—unifying structured databases and unstructured knowledge with intelligent agentic orchestration.
https://mindsdb.com/newsroom/chat-with-your-data-mindsdb-launches-open-source-ai-interface-for-databases-and-documents

Aprimo launches AI agents to transform content operations

Aprimo enables digital marketing, digital asset management, and content operations teams to accelerate planning, production, and content transformation.
https://www.aprimo.com

dbt Labs unveils new Fusion engine

Fusion now powers the entire dbt platform, from the CLI, to dbt Orchestrator, Catalog, Studio, introduces SQL comprehension, and many other capabilities.
https://www.getdbt.com/blog/dbt-labs-redefines-dbt-with-new-fusion-engine

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 most Wednesdays. We do not sell or share personal data.

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MindsDB launches open-source AI interface for databases and documents

MindsDB, an open-source enterprise AI platform, released their AI chat interface in MindsDB Open Source. This platform enables users to interact with their connected databases and knowledge bases using natural language, merging semantic understanding and SQL querying in a single unified experience.

Drawing inspiration from MindsDB’s enterprise product line, the chat interface brings the advanced conversational capabilities of intelligent agents directly into the open source offering, allowing developers, data scientists, and business users alike to “talk to their data” with no-code simplicity.

The MindsDB conversational interface powered by its AI Agent technology automatically interprets user queries and orchestrates the right mix of SQL and semantic operations behind the scenes. For example, a user can ask: “What are the common themes in support tickets about feature X, and how does that correlate with user engagement metrics?” MindsDB intelligently splits this into:

  • A semantic query to extract themes from support tickets.
  • A parametric SQL query to retrieve structured usage data.
  • A unified response, delivered conversationally in the UI.

The new Chat UI is now available in beta within the latest release of MindsDB Open Source. Detailed setup instructions are available in the MindsDB documentation.

https://mindsdb.com/newsroom/chat-with-your-data-mindsdb-launches-open-source-ai-interface-for-databases-and-documents

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

Gilbane Advisor 5-21-25 — AI user penalty, AI energy math

This week we feature articles from Jessica A. Reif, Richard P. Larrick, & Jack B. Soll, and James O’Donnell & Casey Crownhart.

Additional reading comes from Ksenia Se, Pavel Samsonov, and Cobus Greyling.

News comes from Perplexity & PayPal, Foxit, Databricks & Neon, and Box.

Our next issue arrives June 4.

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


Opinion / Analysis

Evidence of a social evaluation penalty for using AI

“Through four experiments with over 4,400 participants, we reveal a social penalty for AI use: Individuals who use AI tools face negative judgments about their competence and motivation from others. These judgments manifest as both anticipated and actual social penalties, creating a paradox where productivity-enhancing AI tools can simultaneously improve performance and damage one’s professional reputation.”

Surprise – not surprise, but now we have good data thanks to Jessica A. Reif, Richard P. Larrick, & Jack B. Soll. (28 min)

https://www.pnas.org/doi/full/10.1073/pnas.2426766122

We did the math on AI’s energy footprint. Here’s the story you haven’t heard.

“… new analysis by MIT Technology Review provides an unprecedented and comprehensive look at how much energy the AI industry uses—down to a single query—to trace where its carbon footprint stands now, and where it’s headed, as AI barrels towards billions of daily users.”

This deep dive by James O’Donnell & Casey Crownhart is likely the most thorough and current you will find. (23 min)

https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech

More Reading

All Gilbane Advisor issues


Content technology news

Perplexity and PayPal partner

Consumers can check out instantly with PayPal or Venmo when they ask Perplexity to find products, book travel, or buy tickets.
https://www.perplexity.ai/shopping ■ https://newsroom.paypal-corp.com/2025-05-14-Perplexity-Selects-PayPal-to-Power-Agentic-Commerce

Foxit launches enterprise Smart Redact Server

Enhances redaction technology with batch document processing, scheduled compliance scans, multi-cloud integration, and team collaboration tools.
https://foxit.com/en/

Databricks to acquire Neon

Databricks and Neon will remove the traditional limitations of databases that require compute and storage to scale in tandem.
https://www.databricks.com/company/newsroom/press-releases/databricks-agrees-acquire-neon-help-developers-deliver-ai-systems ■ https://neon.tech

Box announces AI Platform to bring AI agents to enterprise content

Customers will be able to leverage AI agents for Search, Deep Research, and enhanced data extraction to get more value from content in Box.
https://blog.box.com/content-ai-virtual-summit-may-2025

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 most Wednesdays. We do not sell or share personal data.

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

Box announces AI Platform to bring AI Agents to enterprise content

Box, Inc., an Intelligent Content Management (ICM) platform, announced the next evolution of its Box AI with a new generation of AI Agents designed to transform how organizations work with content. Customers will be able to leverage AI Agents for Search, Deep Research, and enhanced data extraction to uncover more value from their content in Box. Box also introduced a new Box AI Agent for Microsoft 365 Copilot that allows users to search, analyze, and act on Box content directly within Microsoft 365.

Box AI Agents are built with a layered approach, starting with enterprise knowledge found in Box, the Agents then leverage AI models from Amazon, Anthropic, Google, IBM, Meta, OpenAI, and xAI to best match the task’s demands. Every Agent is aligned to an objective, and follows a set of structured instructions that guide its actions. Users will be able to interact with Box AI Agents to extract insights from content and automate enterprise workflows. Box AI Agents can also be customized in Box AI Studio. 

Box AI Agents will be able to analyze large volumes of enterprise content to extract meaning and trends — automatically identifying the most relevant files using Box’s secure, permission-aware, retrieval-augmented generation (RAG) framework. 

https://blog.box.com/content-ai-virtual-summit-may-2025

Perplexity and PayPal partner

Perplexity today announced that it has partnered with PayPal to power agentic commerce across its Perplexity Pro platform. Starting this summer in the U.S., consumers can check out instantly with PayPal or Venmo when they ask Perplexity to find products, book travel, or buy tickets.

The entire process, including payment, shipping, tracking, and invoicing will be handled behind the scenes with PayPal’s account linking, secure tokenized wallet and emerging passkey checkout flows, which could eliminate the need for passwords and streamline the experience to a single user query or click. Features include:

  • Agentic Commerce: Integration of PayPal’s commerce solutions, enabling users to buy products or services directly in Perplexity’s chat interface.
  • Global Reach: Expanding Perplexity’s commerce tools to PayPal’s 430+ million active accounts across approximately 200 markets.
  • Secure Transactions: Leveraging PayPal’s robust fraud detection and data security protocols.

Whether users are researching a topic, comparing products, or planning a trip, Perplexity turns natural questions into trustworthy, ready-to-use results, streamlining how people learn, decide, and get things done online.

https://www.perplexity.ai/shoppinghttps://newsroom.paypal-corp.com/2025-05-14-Perplexity-Selects-PayPal-to-Power-Agentic-Commerce

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