The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Gilbane Advisor 4-2-25 — AGI debate, Cybernetic teammate

This week we feature articles from Gary Marcus, and Ethan Mollick.

Additional reading comes from Eve Weinberg, Amber Case, Iulia Brezeanu, and Greg Kamradt.

News comes from Adobe, Databricks & Anthroic, Bynder, and Algolia.

Our next issue arrives April 9.

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


Opinion / Analysis

Ezra Klein’s new take on AGI – and why I think it’s probably wrong

Gary Marcus is right…
“In a new episode of his podcast with Ben Buchanan former special adviser for artificial intelligence under Biden, entitled, The Government knows A.G.I. is coming, The New York Times’ usually fabulous Ezra Klein declares with too much certainty that AGI is pretty much imminent, and urges you to get with the program.” (11 min)

https://garymarcus.substack.com/p/ezra-kleins-new-take-on-agi-and-why

The Cybernetic teammate

Having an AI on your team can increase performance, provide expertise, and improve your experience

Ethan Mollick…
“So, what happens when AI acts as a teammate? This past summer we conducted a pre-registered, randomized controlled trial of 776 professionals at Procter and Gamble, the consumer goods giant, to find out.” (5 min)

https://www.oneusefulthing.org/p/the-cybernetic-teammate

More Reading

All Gilbane Advisor issues


Content technology news

Adobe launches Adobe Experience Platform Agent Orchestrator

AEP enables businesses to build, manage and orchestrate AI agents from Adobe and third-party ecosystems. Adobe also announced, a suite of agents.
https://news.adobe.com/news/2025/03/adobe-launches-adobe-experience-platform-agent-orchestrator-for-businesses

Algolia launches AI-powered Collections

Collections reduce choice overload, guide users through intuitive navigation, improve search relevance, and help users find products faster.
https://www.algolia.com/products/ai-browse

Databricks brings Anthropic’s Claude models to platform

The strategic, five-year partnership offers Anthropic’s models and services natively through the Databricks Data Intelligence Platform.
https://www.databricks.com/company/newsroom/press-releases/databricks-and-anthropic-sign-landmark-deal-bring-claude-models

Bynder announces AI Agents

The AI agents execute business-critical tasks such as content enrichment, discovery, transformation, and governance for strategic DAM deployments.
https://labs.bynder.com/features/ai-agents

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

Databricks brings Anthropic Claude models to platform

Databricks announced a five-year partnership to offer Anthropic models and services natively through the Databricks Data Intelligence Platform. Combined with Databricks Mosaic AI, the deal brings Anthropic’s Claude models directly to over 10,000 companies, alongside their business-critical, proprietary data. Anthropic’s newest frontier model, Claude 3.7 Sonnet, is now available via Databricks on AWS, Azure and Google Cloud Platform.

Databricks Mosaic AI provides the tools to build domain-specific AI agents on organizations’ data that deliver results with governance across the entire data and AI lifecycle, while Anthropic’s Claude models optimize for real-world tasks.

  • Build domain-specific agents on enterprise data: Anthropic Claude provides advanced reasoning, planning and problem-solving capabilities, helping customers build and deploy domain-specific AI agents that can handle large, diverse data sets with a large context window.
  • Integrated natively with the Data Intelligence Platform: Available via SQL query and model endpoint, Claude models integrate into the Databricks Data Intelligence Platform. Enterprises can customize Claude models with retrieval augmented generation (RAG) by automatically generating vector indexes or fine-tuning models with enterprise data.
  • Unified governance and responsible AI development: Combines Anthropic’s safety research and constitutional AI approach with Databricks’ Unity Catalog, a unified and open governance solution for data and AI.

https://www.databricks.com/company/newsroom/press-releases/databricks-and-anthropic-sign-landmark-deal-bring-claude-models

Bynder announces AI Agents

Bynder, a global provider of AI-powered enterprise DAM has announced its AI Agents, a suite of AI capabilities that will execute business-critical tasks such as content enrichment, discovery, transformation, and governance for strategic DAM deployments.

Powered by LLMs, Bynder’s AI Agents have the intelligence to deliver a higher degree of personalization and will understand the context and intent behind a user’s prompt to execute complex content management tasks.

Bynder’s Enrichment Agent can ‘see beyond the pixels’ to streamline business workflows to address business-specific needs and will help users extract information from assets and enrich those assets with meta-data based on user prompts more accurately. The Enrichment Agent will work together with Bynder’s Ecosystem Agent and 120+ pre-built integrations with upstream creative tools and downstream delivery platforms to create automated workflows.

Bynder’s Transformation Agent will help users modify and repurpose assets utilizing Gen-AI. Automating traditional asset editing tasks will enhance creative productivity, reduce content production costs, and accelerate time-to-market.

Bynder’s Governance Agent will enhance asset governance and compliance to ensure brand authenticity and safety. The Governance Agent will scan the web to identify expired, outdated, or non-compliant digital assets in seconds and can detect AI-generated content, providing clarity for brand compliance.

https://labs.bynder.com/experiments/ai-agents/

Algolia launches AI-powered Collections

Algolia, an AI Search and Discovery solution, launched AI-powered Collections, enabling merchandisers and content curators to generate immersive product discoveries and experiences. Integrated into Algolia’s dashboard, Collections makes it easy to organize, customize, and deliver targeted online experiences.

Algolia’s Collections reduce choice overload, guide users through intuitive navigation, and improve search relevance. Collections help users find products or services faster, even with vague or inconsistent search terms, and enhance the overall search experience. They can also improve conversion rates, inventory visibility, and SEO performance.

A wide range of use cases can leverage Algolia’s Collections using the Merchandising Studio or Dashboard to craft, customize, and launch campaign-specific or thematic product groupings on demand.

  • E-Commerce: Merchandisers and E-Commerce Managers can create curated product groupings based on themes.
  • Education: Administrators can assemble related courses, resources, and materials into curated sets.
  • Media & Entertainment: Programming Managers can curate videos, for example, into themed groups.
  • Software Development and Customer Support: Collections can be used by product documentation specialists to organize and deliver tailored support content and documentation.

Algolia’s Collections takes advantage of Algolia’s Dynamic Re-Ranking (DRR), that automatically optimizes product rankings based on real-time consumer behavior. By ensuring the most relevant and engaging products surface first.

https://www.algolia.com/products/ai-browse

Gilbane Advisor 3-19-25 — AI news-search, vibing, MCP

This week we feature articles from Klaudia Jaźwińska & Aisvarya Chandrasekar, and Ethan Mollick.

Additional reading comes from Ksenia Se, Maxwell Zeff & Kyle Wiggers, Sebastian Raschka, and Huei-Hsin Wang.

News comes from Databricks & Palantir, Elsevier, Syncro Soft, and Implicit.

Our next issue arrives April 2.

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


Opinion / Analysis

AI search has a citation problem

We compared eight AI search engines. They’re all bad at citing news.

Klaudia Jaźwińska & Aisvarya Chandrasekar’s research is fascinating and the individual comparisons slightly surprising. They provide a link to download the data. (13 min)

https://www.cjr.org/tow_center/we-compared-eight-ai-search-engines-theyre-all-bad-at-citing-news.php

Speaking things into existence

Expertise in a vibe-filled world of work

Ethan Mollick shares his first vibecoding experience, and demonstrates the role of expertise in co-working with AI. A useful read as usual. (8 min)

https://www.oneusefulthing.org/p/speaking-things-into-existence

More Reading

All Gilbane Advisor issues


Content technology news

Palantir and Databricks partner

Partnership combines Palantir’s Artificial Intelligence Platform (AIP) and Databricks’ Data Intelligence Platform to accelerate the production of AI applications and reduce TCO.
https://www.databricks.com/company/newsroom/press-releases/palantir-and-databricks-announce-strategic-product-partnership ■ https://www.palantir.com

Elsevier launches ScienceDirect AI

The generative AI tool enables researchers to instantly extract, summarize and compare trusted insights from millions of full-text articles and book chapters on ScienceDirect.
https://elsevier.shorthandstories.com/sciencedirect-ai

Syncro Soft releases Oxygen Content Fusion 8.0

Version 8.0 turns Oxygen Content Fusion integrates with the Oxygen AI Positron Assistant, and consolidates it as a Content Management System for DITA content.
https://www.oxygenxml.com/content_fusion/whats_new.html

Implicit launches AI platform to transform product expertise

Designed to improve customer experience with AI-driven agent support and knowledge management, using knowledge graphs, GraphRAG, & chain-of-thought.
https://www.implicit.cloud/article/introducing-implicit-the-future-of-product-expertise

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

Adobe launches Adobe Experience Platform Agent Orchestrator 

Adobe Experience Platform Agent Orchestrator enables businesses to build, manage and orchestrate AI agents from Adobe and third-party ecosystems. With AEP as the foundation, agents are built with a deep understanding of customer data and content to enhance decision-making, as well as support for multiagent collaboration, and decision science and language models that enable dynamic and adaptive reasoning. AEP data is brought together under Experience Data Model schemas, which derive meaning from unrelated data and enables impactful customer experiences.

Adobe unveiled a suite of Experience Platform Agents to be leveraged directly within Adobe enterprise applications. Built on Adobe Experience Platform Agent Orchestrator, these out-of-the-box AI agents increase the capacity of teams by enhancing applications, such as Adobe Real-Time Customer Data Platform (CDP), Adobe Experience Manager, Adobe Journey Optimizer and Adobe Customer Journey Analytics.

Adobe Experience Platform Agents will augment the capabilities of marketing and creative teams to drive personalization. Adobe introduced ten AI Agents, including: Account Qualification Agent, Audience Agent, Content Production Agent, Data Insights Agent, Data Engineering Agent, Experimentation Agent, Journey Agent, Product Advisor Agent, Site Optimization Agent, and Workflow Optimization Agent.

https://news.adobe.com/news/2025/03/adobe-launches-adobe-experience-platform-agent-orchestrator-for-businesses

Palantir and Databricks partner

Databricks, a Data and AI company, and Palantir Technologies Inc. a provider of enterprise operating systems, announced a strategic product partnership that combines Palantir’s AI operating system and Databricks’ platform for AI, data warehousing, and data engineering. The partnership will provide an open and scalable data architecture that combines Palantir’s Ontology System with Databricks’ processing scale and data and AI platform. Palantir and Databricks are delivering real-time, AI-powered autonomous workflows to joint customers through the integration of the Databricks Data Intelligence Platform and Palantir AIP. Through the combination of Unity Catalog through Delta Sharing and Palantir’s multimodal security system, joint customers will be able to unlock GenAI, machine learning, and data warehousing within a secure, unified and scalable environment.

This partnership lowers the technical and operational barriers to leveraging GenAI and increases customer value by efficiently deploying autonomous workflows into production. Through joint engineering, customers can consistently govern and secure their entire data estate with a combination of Databricks’ Unity Catalog and Palantir’s military-grade security so enterprises can build on a trusted foundation while maintaining efficiency and keeping TCO low. The integration of Databricks and Palantir is already serving a range of mission-critical outcomes for customers.

https://www.databricks.com/company/newsroom/press-releases/palantir-and-databricks-announce-strategic-product-partnershiphttps://www.palantir.com

Elsevier launches ScienceDirect AI

Elsevier, provider of advanced information and decision support, launched ScienceDirect AI, a generative AI tool for researchers. It is designed to transform the way researchers work by enabling them to instantly extract, summarize and compare trusted insights from millions of full-text articles and book chapters on ScienceDirect, a platform for trusted, peer-reviewed research.

Users can search and get answers from within the full-text of 14 million articles and book chapters, using their own words to describe what they need and why. ScienceDirect AI searches across the millions of documents in its index to provide a Summary Response with references, Source Snippets for each reference, and short Related Insights summaries while linking back to the original document. A conversational feature answers questions about the content of a specific full-text article or book chapter and allows researchers to ask further questions.

ScienceDirect AI’s Compare Experiments tool takes a set of articles and creates a table breaking down each experiment within them, drawing out aspects of each including goals, methods and results.

ScienceDirect AI’s use of third-party LLMs is private, no information is stored or used to train public models, and all data is stored in a protected and private environment exclusive to Elsevier.

https://elsevier.shorthandstories.com/sciencedirect-ai

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