Curated for content, computing, and digital experience professionals

Year: 2023 (Page 1 of 23)

Figma and Adobe abandoning proposed merger

From the Figma blog…

Figma and Adobe have reached a joint decision to end our pending acquisition. It’s not the outcome we had hoped for, but despite thousands of hours spent with regulators around the world detailing differences between our businesses, our products, and the markets we serve, we no longer see a path toward regulatory approval of the deal.

We entered into this agreement 15 months ago with the goal of accelerating what both Adobe and Figma could do for our respective communities. While we leave that future behind and continue on as an independent company, we are excited to find ways to partner for our users.

Amid the uncertainty of a pending acquisition, I am deeply proud of how the Figma team delivered for our community and feel we have only continued to accelerate our pace over the past 15 months. Our team built and shipped new products to make it easier to ideate, design and build software, including our first native AI features, Dev Mode, Variables, and Advanced Prototyping. We also opened new hubs in the UK and Asia, hosted an epic Config IRL in San Francisco, acquired AI startup Diagram, and added more than 500 new Figmates.

Figma’s founding vision was to “eliminate the gap between imagination and reality.” The shift from a physical economy to a digital economy and huge advances in AI have combined to make this aspiration feel even more urgent and within reach today than it did 11 years ago.

This will be our focus moving forward. We want to make it easy for anyone to design and build digital products on a single multiplayer canvas—from start to finish, idea to production. I’m so excited for what the future holds and beyond grateful to our community for supporting us. Figma’s best, most innovative days are still ahead.

Axel Springer and OpenAI partner to deepen beneficial use of AI in journalism 

From Axel Springer…

Axel Springer and OpenAI have announced a global partnership to strengthen independent journalism in the age of artificial intelligence (AI). The initiative will enrich users’ experience with ChatGPT by adding recent and authoritative content on a wide variety of topics, and explicitly values the publisher’s role in contributing to OpenAI’s products. This marks a significant step in both companies’ commitment to leverage AI for enhancing content experiences and creating new financial opportunities that support a sustainable future for journalism.

With this partnership, ChatGPT users around the world will receive summaries of selected global news content from Axel Springer’s media brands including POLITICO, BUSINESS INSIDER, and European properties BILD and WELT, including otherwise paid content. ChatGPT’s answers to user queries will include attribution and links to the full articles for transparency and further information.

In addition, the partnership supports Axel Springer’s existing AI-driven ventures that build upon OpenAI’s technology. The collaboration also involves the use of quality content from Axel Springer media brands for advancing the training of OpenAI’s sophisticated large language models.

Mathias Döpfner, CEO of Axel Springer: “We are excited to have shaped this global partnership between Axel Springer and OpenAI – the first of its kind. We want to explore the opportunities of AI empowered journalism – to bring quality, societal relevance and the business model of journalism to the next level.”

Brad Lightcap, COO of OpenAI: “This partnership with Axel Springer will help provide people with new ways to access quality, real-time news content through our AI tools. We are deeply committed to working with publishers and creators around the world and ensuring they benefit from advanced AI technology and new revenue models.”

Franz unveils AllegroGraph 8.0

Franz Inc. announced AllegroGraph 8.0, a Neuro-Symbolic AI Platform that incorporates Large Language Model (LLM) components directly into SPARQL along with vector generation and vector storage for a comprehensive AI Knowledge Graph solution. AllegroGraph 8.0 combines Machine Learning (statistical AI) with knowledge and reasoning (symbolic AI) capabilities to solve problems that require reasoning and learn efficiently with less data, expanding applicability and produces decisions understandable to humans. AllegroGraph 8.0 includes: 

  • Retrieval Augmented Generation (RAG) for LLMs – AllegroGraph 8.0 guides Generative AI content through RAG, feeding LLMs with the ‘source of truth.’ This approach helps avoid ‘hallucinations’ by grounding the output in fact-based knowledge.
  • Natural Language Queries and Reasoning – The LLMagic functions serve as the bridge between human language and machine understanding, offering a dynamic natural language interface for querying and reasoning processes.
  • Enterprise Document Deep-insight – New VectorStore capabilities offer a bridge between enterprise documents and Knowledge Graphs, allowing users to access knowledge hidden within documents.
  • AI Symbolic Rule Generation – AllegroGraph offers built-in rule-based system capabilities tailored for symbolic reasoning, distilling complex data into actionable, interpretable rules.
  • Streamlined Ontology and Taxonomy Creation – LLMagic can streamline the complex and often labor-intensive task of crafting ontologies and taxonomies for any topic.

Bloomreach partners with Spryker to expand composable commerce

Bloomreach, a platform fueling e-commerce experiences, today announced their partnership with Spryker, a composable commerce platform for sophisticated use cases in B2B Commerce, Enterprise Marketplaces, and Thing Commerce. With the partnership, Bloomreach users will be able to leverage Spryker’s composable, API based functionalities to constantly improve their digital and marketplace experience. From content management and product discovery to customer engagement, Spryker’s deep market knowledge will provide Bloomreach business users with the tools and support they need to achieve true personalization and capture revenue.

Bloomreach has always prioritized composable commerce and its impact in the e-commerce space. The partnership with Spryker is a testament to that and will deliver value to Bloomreach customers by providing access to Spryker’s diverse community of  technical and solution partners, as well as a strong team of experts. Through Spryker’s composable API based functionalities, customers will be able to constantly improve their digital and marketplace experiences while creating flexible tech stacks that will drive revenue and growth across the e-commerce ecosystem.

Gilbane Advisor 11-29-23 — LLM overkill, knowledge graph not

This week we feature articles from Kurt Cagle, and Mike Dillinger.

Additional reading comes from Michael Parekh, Jeremy Arancio, Sam Shedden, and Mike Loukides.

News comes from Neoj4, Acquia, Ontotext, and Fivetran.

Reminder: We don’t usually publish in December. We’ll be back in January. Hope you all have healthy and happy holidays! 

All previous issues are available at

Opinion / Analysis

Do you really NEED that LLM?

Kurt Cagle explains why large language models (LLMs), specialized or not, may be overkill for many applications, describes some of the characteristics of those applications, and suggests knowledge graphs and other existing technologies that may be preferable. (6 min)

Knowledge graphs or plain ol’ snake oil: How would you know?

Mike Dillinger addresses the question of what a knowledge graph is, is not, and how it is different from related technologies and resources.

“The overarching goal of knowledge graphs is to store and reproduce conceptual information in a machine-accessible way, as verifiable facts linked to objective data — not only as statements or opinions…” (11 min)

More Reading

All Gilbane Advisor issues

Content technology news

Neo4j collaborating with AWS to enhance generative AI results

The agreement includes integration with Amazon Bedrock for enterprise generative AI outcomes that are more accurate, transparent, and explainable.

Acquia Site Studio introduces capabilities to create Drupal and headless applications from a single platform

Now developers and marketers can create and manage digital experiences for traditional Drupal websites and headless applications using the same content.

Ontotext and TopQuadrant partner to accelerate adoption of graph and semantic technologies

Ontotext clients gain a knowledge graph creation and curation tool, while TopQuadrant clients get improved scalability, usability, performance.

Fivetran deepens relationship with Microsoft; adds new data lake destinations

Fivetran supports Microsoft OneLake through integration with Microsoft Fabric and Delta Lake on Azure Data Lake Storage Gen2.

All content technology news

The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

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Neo4j collaborating with AWS to enhance generative AI results

Neo4j announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to enable enterprises to achieve better generative artificial intelligence (AI) outcomes through a combination of knowledge graphs and native vector search that reduces generative AI hallucinations while making results more accurate, transparent, and explainable.

Neo4j also anncounced a new integration with Amazon Bedrock, a managed service that makes foundation models from AI companies accessible via an API to build and scale generative AI applications. Neo4j’s native integration with Amazon Bedrock enables:

  1. Reduced Hallucinations: Neo4j with Langchain and Amazon Bedrock can now work together using Retrieval Augmented Generation (RAG) to create virtual assistants grounded in enterprise knowledge.
  2. Personalized experiences: Neo4j’s context-rich knowledge graphs integration with Amazon Bedrock can invoke an ecosystem of foundation models that generate personalized text generation and summarization for end users.
  3. Get complete answers during real-time search: Developers can leverage Amazon Bedrock to generate vector embeddings from unstructured data (text, images, and video) and enrich knowledge graphs using Neo4j’s new vector search and store capability.
  4. Kickstart a knowledge graph creation: Developers can leverage new generative AI capabilities using Amazon Bedrock to process unstructured data so it becomes structured and load it into a knowledge graph.

Ontotext and TopQuadrant partner to accelerate adoption of graph and semantic technologies

Ontotext, a semantic data and knowledge graph technology provider, and TopQuadrant, a provider of software tools for data governance and semantics, announced a partnership to bring advantages to their shared customer base. With TopQuadrant, Ontotext clients gain a knowledge graph creation and curation tool that enables new data governance use cases, while TopQuadrant clients benefit from improved scalability, usability, and performance. The combination of front and back-end systems enables:

  1. Scalability and Performance for Large Data Sets: With Ontotext’s RDF database GraphDB, semantic data products such as taxonomies, tag lists, metadata stores, and code lists, can now scale to handle master data management and enterprise data quality and validation efforts.
  2. Policy Enforcement and Automation: TopQuadrant’s expertise in data governance and metadata management will help clients enforce policies across organizations’ full data landscape, mitigating risk of regulatory fines such as for GDPR.
  3. Pharma R&D Semantic Solution: This solution will enable data models to capture data and improve data quality, enhancing collaboration and efficiency, automating regulatory reporting and ultimately enabling new insights into drug discovery.
  4. Semantic Data Catalog: The semantic approach for active metadata management harmonizes data and metadata across an entire organization. The semantic data catalog actively populates metadata and makes data more interoperable and reusable.

Fivetran deepens relationship with Microsoft; adds new data lake destinations

Fivetran announced its support for Microsoft OneLake through integration with Microsoft Fabric as a new data lake destination, and that Fivetran has been named a Microsoft Fabric Interoperability Partner. Together with support for Delta Lake on Azure Data Lake Storage (ADLS) Gen2, also announced today, Fivetran customers now have two Microsoft data lake destinations to securely consolidate their data workloads with any of Fivetran’s 400-plus pre-built, fully managed data pipelines. 

Because Fivetran automates data extraction, cleansing, conforming and converting data to Delta Lake format, customers are able to move faster in developing AI and generative AI-based projects.

OneLake serves as the unified data foundation for Microsoft Fabric, making it simple for customers to access their data through a file explorer, similar to Microsoft’s OneDrive for files. With OneLake, customers can create multiple workspaces within a single tenant.

Fivetran offers the flexibility and scalability that enterprises need to build a solid data lake foundation, across on-premise, cloud-based and third-party sources. Whether an organization has a hybrid or multi-cloud environment, Fivetran provides high-volume data movement with enterprise-ready reliability and uptime, and industry-standard practices for data encryption, with GDPR, IS0 27001 and SOC 2 Type II compliance.

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