The Gilbane Advisor

Curated for content, computing, and digital experience professionals

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Quark announces QPP NextGen v3.3

Quark Software, a global provider of content automation, intelligence and design software, today announced the newest release of Quark Publishing Platform (QPP) NextGen, its cloud-based content automation platform that simplifies the complexities associated with the entire enterprise content lifecycle management process, from creation to consumption, in a fully integrated CCMS.

QPP NextGen v3.3 includes new content workflow visualization capabilities that help content teams understand the impact of change across content workflows. Additionally, newly available self-service Microsoft Excel data integration options for content authors reduces IT dependency and helps eliminate errors when creating data-rich documentation.

With QPP NextGen v3.3, Quark has infused more features within Quarky AI – the company’s enterprise AI copilot that works with customer’s own AI services and LLMs. It delivers real-time visibility to address inefficiencies, ensure compliance when working with sensitive information, and offers fast access to Microsoft Excel data for content authors to analyze and organize large amounts of componentized, reusable content quickly and efficiently.

New features and benefits available in the latest v3.3 release of QPP NextGen include:

  • Visualization Workflows
  • Access to Microsoft Excel Data
  • Improved Security Posture
  • Improved Search and Discovery of Content
  • Prioritize Content Attributes

https://www.quark.com/whats-new-quark-publishing-platform

Uniform announces CMS capabilities for Visual Workspace

Uniform announced the addition of new CMS capabilities to its Uniform Visual Workspace, to expand the basic concept of a CMS from a single-source content repository to unified, multi-source one. This enables brands to leverage content from any source without writing any integration logic, setting up unreliable data synchronization processes, or moving content into yet another repository. In the Visual Workspace, mapping fields from different content sources is done without developer involvement. Localization, versioning and asset management are now part of the Visual Workspace.

For brands who already have one or more CMSs in place, this creates an opportunity to work with a single content model that spans those systems, along with any other content sources they use – be they legacy, monolithic, composable, or bespoke. With generative AI integrated throughout the Visual Workspace, new content can be created almost instantly. Uniform provides guardrails that ensure generative AI is creating accurate, on-brand content, using the language models you choose.

https://www.uniform.dev

ActionIQ announces CXAI to integrate GenAI data & GenAI content

ActionIQ, an Enterprise Customer Data Platform, announced the launch of CXAI, a suite of AI-enabled solutions purpose-built for customer experience (CX), marketing, and data teams. The first CXAI release introduces two modules, CXAI Data and CXAI Content. Together, these capabilities are meant to help marketers deliver personalized creative content to individual audience members.

CXAI Data

  • GenAI Audiences. An audience co-pilot for marketers, bringing a natural language interface to GenAI for marketers to build audiences, analyze performance, and uncover insights. Marketers can design the audiences and experiences they want, in their own language, without requiring SQL or data expertise.
  • AI Decisioning & Analytics. A new decisioning engine for personalizing customer experiences. AI Decisioning makes recommendations and optimizes for the best audience, products, offers, lookalikes, channel preference, and more. AI Decisioning can use out-of-the-box models, custom models, or in-house models.

CXAI Content. Today, we are announcing an exciting new partnership with Typeface, a generative AI platform for enterprise content creation. With ActionIQ CXAI Content and Typeface Multimodal Content Hub integration, marketers and designers create customized, on-brand content that aligns with ActionIQ’s audiences, and can be activated across any channel.

https://www.actioniq.com/newsroom/actioniq-announces-cx-ai-genai/

Pega introduces Pega GenAI Knowledge Buddy

Pegasystems Inc., announced Pega GenAI Knowledge Buddy, a generative AI assistant to enable customers and employees to get specific answers synthesized by generative AI from content scattered across knowledge bases.

With Knowledge Buddy, customers and employees can ask questions through conversational interfaces and get specific, accurate, audited, and concise responses – with transparent attribution to source content. Users can also ask Knowledge Buddy to generate new content, such as emails or documents, based on their existing libraries. Additionally, security features give organizations control over user access rights as well as transparency to understand how and from where the technology pulls information. Content authors will be able to add, update, or delete knowledge, with all actions managed and audited by Pega’s workflow automation. 

Organizations will be able to configure unique Buddies for different use cases – such as answering marketing, operations, sales, or service questions – and quickly integrate them into any internal system or digital channel.

Pega Knowledge Buddy also connects to knowledge libraries within Pega Knowledge Management, which allows organizations to build, manage, and optimize content by assisting content authors and managers during the curation process and enables content versioning and lifecycle management.

https://www.pega.com/products/genai-knowledge-buddy

Gilbane Advisor 1-24-24 — AI fact checking, copyright complexity

This week we feature articles from Chua Chin Hon, and Arvind Narayanan & Sayash Kapoor.

Additional reading comes from Anna Kaley & Maria Rosala, Michael Parekh, Chenxin Li, and Sergey Levine & Karol Hausman.

News comes from Ontotext, DataStax, Pinecone, and Altova.

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


Opinion / Analysis

Fight fire with fire? Building and testing a custom AI-powered fact checker

Chua Chin Hon has been testing available fact checking software, as well as building his own since 2021 and found them all seriously lacking. His latest attempt is built with Custom GPT combined with Bing which he says significantly outperforms all of them. He explains how he did it without any coding. Especially interesting, not to mention timely, is his experience with newsrooms which he uses as a test case. (13 min)

https://chuachinhon.medium.com/fight-fire-with-fire-building-and-testing-a-custom-ai-powered-fact-checker-3eef32a5768e

Using the recent New York Times complaint about Open AI, Arvind Narayanan & Sayash Kapoor explain why the case is so complex, and why GenAI “Output similarity is a distraction. Training is the real problem.” (7 min)

https://www.aisnakeoil.com/p/generative-ais-end-run-around-copyright

More Reading

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Content technology news

DataStax launches Data API to simplify GenAI application development

Also included is an updated developer experience for DataStax Astra DB, a vector database for building production-level AI applications.
https://www.datastax.com/blog/general-availability-data-api-for-enhanced-developer-experience

Ontotext’s GraphDB available on the Microsoft Azure Marketplace

The GraphDB listing  provides customers with a consolidated purchasing environment and integration with their existing Azure accounts.
https://www.ontotext.com/company/news/ontotexts-graphdb-solution-is-now-available-on-the-microsoft-azure-marketplace/

Pinecone announces Pinecone Serverless

Pinecone Serverless is launching with integrations to Anthropic, Anyscale, Cohere, Confluent, Langchain, Pulumi, and Vercel.
https://www.pinecone.io/blog/serverless/

Altova announces MobileTogether 9.0

This release introduces full support for MQTT allowing developers to build MQTT-enabled apps for communication among smart devices.
https://www.altova.com/whatsnew

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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DataStax launches Data API to simplify GenAI application development

DataStax, a company that powers generative AI (GenAI) applications with relevant, scalable data, announced the general availability of its Data API, a one-stop API for GenAI, that provides all the data and a complete stack for production GenAI and retrieval augmented generation (RAG) applications with high relevancy and low latency. Also debuting today is a completely updated developer experience for DataStax Astra DB, a vector database for building production-level AI applications. 

The new vector Data API and experience makes Apache Cassandra available to JavaScript, Python, or full-stack application developers in a more intuitive experience for AI development. It is specifically designed for ease of use, offering higher relevancy, throughput, and fast response times, by using the JVector search engine. It introduces an intuitive dashboard, efficient data loading and exploration tools, and seamless integration with AI and machine learning (ML) frameworks. 

Developers can use the Data API for an out-of-the-box AI ecosystem that simplifies integrations with GenAI ecosystem leaders like LangChain, LLamaIndex, OpenAI, Vercel, Google Vertex AI, Amazon Bedrock, GitHub Copilot, Azure, and all major platforms while supporting security and compliance standards. Any developer can now support advanced RAG techniques such as FLARE and ReAct that must synthesize multiple responses.

https://www.datastax.com/blog/general-availability-data-api-for-enhanced-developer-experience

Gilbane Advisor 1-17-24 — Knowledge editing, Bayesian inference

This week we feature articles from Dhanshree Shripad Shenwai, and Stephanie Shen. 

Additional reading comes from Kyle Wiggers, Caleb Sponheim, Ben Waber & Nathanael J. Fast, and Raphaël Millière & Cameron Buckner.

News comes from Typeface, OpenAI, Argo Translation, and Digimarc.

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


Opinion / Analysis

A comprehensive study of knowledge editing for large language models

We’re still learning how knowledge graphs and large language models might be combined to reap the benefits of their individual capabilities. Knowledge graph embeddings in LLMs are one approach, but are typically not easily modified (as they are on their own) without re-training. Dhanshree Shripad Shenwai summarizes an interesting new paper on knowledge editing activity in general, and specifically on a new approach to knowledge editing in language models that doesn’t require re-training. (3 min)

Summary: https://www.marktechpost.com/2024/01/06/this-ai-paper-presents-a-comprehensive-study-of-knowledge-editing-for-large-language-models/
Paper: https://arxiv.org/abs/2401.01286

Bayesian Inference: A unified framework for perception, reasoning, and decision-making

Stephanie Shen provides an accessible and useful description of what Bayes’ Theorem is and how it works in English (minus the math), and explains why its applicability is much broader than appreciated. A good refresher for those of us not steeped in it, and a good intro for decision-makers. (14 min)

https://towardsdatascience.com/bayesian-inference-a-unified-framework-for-perception-reasoning-and-decision-making-bb9c47448f8f

More Reading

All Gilbane Advisor issues


Content technology news

Typeface announces integration within Microsoft Dynamics 365

Dynamics 365 Customer Insights customers get access to Typeface’s brand and audience-personalized AI seamlessly within their environments.
https://www.typeface.ai/blog/typeface-announces-integration-within-microsoft-dynamics-365-customer-insights-to-help-redefine-marketer-experiences

OpenAI introduces ChatGPT Team

OpenAI introduces ChatGPT Team — ChatGPT Team offers access to GPT-4 and DALL·E 3, tools like Advanced Data Analysis, a dedicated collaborative workspace, and admin tools.
https://openai.com/blog/introducing-chatgpt-team

Argo Translation launches CMSConnect

Support for multiple CMS, PIM, DAM, and CRM platforms expands their ability to help businesses make content available in numerous languages.
https://www.argotrans.com/argo-translation-launches-cmsconnect

Digimarc offers free digital watermark embedding and detection tools to device and chip manufacturers and content creation platforms

The Secure, Automated, Fair, and Efficient (SAFE) digital watermark tools are designed to protect digital content owners and consumers.
https://www.digimarc.com/press-releases/2024/01/04/digimarc-offers-free-digital-watermark-embedding-and-detection-tools

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.

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

Ontotext’s GraphDB available on the Microsoft Azure Marketplace

Ontotext, a semantic knowledge graph provider, today announced that its flagship product, GraphDB, is now available on the Microsoft Azure Marketplace. Now, enterprises can streamline the global deployment of graph databases, facilitating the migration of on-premises data to Azure and other prominent public cloud platforms. Customers can take advantage of the Azure cloud platform, with streamlined deployment and management to ensure compliance with rigorous industry and privacy regulations. 

Ontotext GraphDB accelerates knowledge graph builds, and provides users with a platform for enterprise-wide data integration and discovery. GraphDB was developed for companies with decentralized data challenges and that require data driven analytics in order to drive insights for crucial business needs. GraphDB on Azure enables their joint customers to:

  • Remove data silos and speed up time to insights/time to market with a linking engine for enterprise data management.
  • Unify data sources for impactful data sharing, collaboration and semantic data discovery that delivers ROI on information architecture spend.
  • Empower standardized data exchange, discovery, integration, and reuse to provide 360 views of their business.

https://www.ontotext.com/company/news/ontotexts-graphdb-solution-is-now-available-on-the-microsoft-azure-marketplace/

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