The Gilbane Advisor

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DeltaXML eases HTML table comparison with XML Compare 14

DeltaXML announced the release of Version 14 of XML Compare, which now includes table comparison improvements to HTML tables. This new version features a major update to the way HTML tables are handled when comparing tables and reporting differences as well as new capabilities to ensure you get the best results when processing tables.

New HTML table capabilities include both ordered and ‘orderless’ columns. By default, column order is significant so if column order changes, that is flagged up in the results. But if column order doesn’t matter, you can now figure the comparison to ignore column order and it will align them differently in the result. Another new feature is Column Keying allowing you to control the way in which columns are aligned.

Improvements include the way changes to spans are handled enabling finer-grained results for cells and rows and improved display and understanding. When a column moves, is added or deleted, improvements to Column Alignment provides a new result which makes more sense and is immediately apparent to the viewer and easier to understand.

These xHTML table enhancements are now in the process of being rolled out to DeltaXML’s DITA Compare and DocBook Compare products.

Databricks launches Databricks Model Serving

Databricks announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications. Organizations can leverage the Databricks Lakehouse Platform to integrate real-time machine learning systems across their business, from personalized recommendations to customer service chatbots, without the need to configure and manage the underlying infrastructure. Deep integration within the Lakehouse Platform offers data and model lineage, governance and monitoring throughout the ML lifecycle, from experimentation to training to production. Databricks Model Serving is now generally available on AWS and Azure. Capabilities, include:

  • Feature Store: Provides automated online lookups to prevent online/offline skew. Define features once during model training, and Databricks will automatically retrieve and join the relevant features in the future.
  • MLflow Integration: Natively connects to MLflow Model Registry, enabling easy deployment of models. After providing the underlying model, Databricks will automatically prepare a production-ready container for model deployment.
  • Unified Data Governance: Manage and govern all data and ML assets with Unity Catalog, including those consumed and produced by model serving.

Lucid Software announces new integrations to enhance collaboration

Lucid Software, a provider of visual collaboration software, announced the rollout of 15 new integrations with software providers across the Lucid Visual Collaboration Suite. These integrations can be found at Lucid’s newly launched marketplace.

Lucid’s latest integrations add to the utility of the Lucid Visual Collaboration ecosystem, which allows teams to communicate complex ideas and align at every stage of their workflow, from brainstorming to execution. Through its library of integrations, Lucid streamlines processes and workflows within a company’s tech stack and creates a foundation for effective and efficient collaboration across all teams and departments.

New integrations include: Figma, Google Workspace (Google Sheets, Google Docs, Google Slides), Microsoft OneDrive, Asana, Jira Cloud, Microsoft SharePoint, Notion, Airtable, Asana, ClickUp,, and Trello.

Lucid documents can be directly added to meeting invitations, so users are prepared and aligned on context.

Acquia adds integrations to Digital Asset Management (DAM) System

Digital experience company Acquia announced new integrations for its digital asset management platform, Acquia DAM (formerly Widen Collective), to enable customers to create a more efficient, automated content supply chain. These new integrations give customers more control over brand consistency, extend the value of content and data created in other systems, and help marketers and content creators become more productive.

Acquia DAM supports their digital experience platform (DXP) by delivering a brand’s content across all its channels. A DAM enables content search and access within the DXP, provides on-the-fly content conversions and easy file resizing to better present content to customers, ensures that only approved and on-brand content is published, monitors content performance, and streamlines content reuse to help marketing teams move faster.

Acquia DAM is now able to integrate with: Airtable, Asana, Google Sheets, HubSpot,, Optimizely, Shopify, Slack, Smartsheet, and Templafy.

Acquia offers nearly 60 integrations for Acquia DAM. In addition, customers can use the Acquia DAM API to build their own integration.

Slang Labs launches CONVA

Slang Labs, a Google-backed startup from Bengaluru, announced the launch of CONVA, a full-stack solution that provides smart and highly accurate multilingual voice search capabilities inside e-commerce apps. CONVA is available as a simple SDK (Software Development Kit) that can be integrated into existing e-commerce apps in less than 30 minutes without developers needing any knowledge of Automatic Speech Recognition (ASR), Natural language processing (NLP), Text-to-Speech (TTS) and other advanced voice tech stack concepts.

CONVA-powered voice search comprehends mixed-code (multiple languages in one sentence) utterances, enabling consumers to speak naturally in their own language in order to search for products and information inside e-commerce mobile and web apps – while allowing the brand to maintain its app backend in only one language i.e. English. For instance, when people use English and another vernacular language within the same sentence for searching for something, CONVA will understand both languages and provide a seamless search experience to the consumer.

Customers can search for products inside the applications using their typical colloquial terms for well-known products using voice search that is enabled by CONVA, and the apps will still be able to recognise the correct product being searched.

TigerGraph expands cloud capabilities

TigerGraph, provider of an advanced analytics and ML platform for connected data, announced the latest version (3.9) of TigerGraph Cloud, a native parallel graph database-as-a-service, including new security, advanced AI, and machine learning capabilities to streamline the adoption, deployment, and management of the graph database platform. The underlying parallel native graph database engine is also available for on-prem or self-managed cloud installation.

Available as self-managed enterprise or on fully-managed cloud services including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, TigerGraph Cloud equips users with a comprehensive, streamlined approach to deploy and maintain multiple graph database solutions with visual analytics and machine learning tools. ​​Users can get started in minutes, build a proof-of-concept model in hours, and deploy a solution to production in days. New capabilities include: Enhanced data ingestion, Parquet file format, multi-edge support, Enhanced graph data science package, improved DevOps support, expanded Kubernetes functionality, and expanded self-service graph visual analytics

TigerGraph Cloud users can choose from 20+ starter kits that cover industry use cases pre-built with sample graph data schema, dataset, and queries focused on specific use cases such as fraud detection, real-time recommendation, machine learning, and explainable AI.

Gilbane Advisor 3-1-23 — Emergent properties in ML, RDF modeling

This week we feature articles by Jacob Steinhardt, and Dean Allemang.

Additional reading from Rocío Txabarriaga, Eric Broda, and Tony Seale.

News comes from MadCap Software & IXIASOFT, BetterCommerce, Wondershare, and Contentstack.

Note that news items now link to the original source of the news rather than our 200 word summaries, which are always available here.

All previous issues are available at

Opinion / Analysis

Emergent deception and emergent optimization

Emergent properties are in common in nature, and are often surprising. They are also found in machine learning. Jacob Steinhardt has a series of posts on emergence in machine learning worth checking out, but you can start with his most recent, and timely, piece. (17 min).

I’ve previously argued that machine learning systems often exhibit emergent capabilities, and that these capabilities could lead to unintended negative consequences. But how can we reason concretely about these consequences? … I’ll describe two specific emergent capabilities that I’m particularly worried about: deception (fooling human supervisors rather than doing the intended task), and optimization (choosing from a diverse space of actions based on their long-term consequences).

Why I’m not excited about RDF-Star

Well, the title is a bit clickbaity. But Dean Allemang’s article illustrates an important point about RDF modeling in general. And if like me, you weren’t aware of RDF-Star, an added benefit is you’ll learn enough to consider how you might use it when the W3C standard becomes a recommendation. (10 min).

More Reading

All Gilbane Advisor issues

Content technology news

MadCap Software acquires IXIASOFT

Adds enterprise DITA CCMS to support content strategies for creating, translating, and delivering consistent, up-to-date content tailored to roles.

Contentstack announces Contentstack Launch

Extends Contentstack’s product suite, providing a composable, automated, digital experience stack from the front-end to the back-end.

BetterCommerce adds headless CMS functionality to its commerce stack

The headless, composable CMS functionality joins existing modules in the commerce stack including PIM, eCommerce, OMS, Analytics and Engage.

Wondershare releases EdrawMind 10.5

Features new collaborative mind mapping and brainstorming tools to design solutions collaboratively and respond to trends and changes.

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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Contentstack announces Contentstack Launch

Contentstack, a composable digital experience provider, announced its new Contentstack Launch front-end hosting service offering. The new service extends Contentstack’s product suite, providing enterprise companies with a composable, automated, digital experience stack from the front-end to the back-end.

Contentstack Launch is engineered from the ground up to streamline development operations. For customers, it means reducing the friction and wait-states that commonly exist as digital experiences evolve from back-end code to front-end user experiences. Customers can:

  • Connect to Contentstack Marketplace apps and reduce technical debt with pre-built component libraries and workflows
  • Create staging and production environments on Contentstack’s lightning-fast Content Delivery Network (CDN) with just a few clicks and automatically trigger rebuilds
  • Build projects in virtually any common Javascript front-end framework, easily connect to and deploy code directly from a git repository

At the core of operations is the Contentstack CMS, a headless content management product. Contentstack adds to this its Contentstack Marketplace for rapid customization and platform extensibility, through 1-click integrations and its App SDK framework. Integrations and orchestration up and down the stack are made simple with clicks using Contentstack Automation Hub. 

Contentstack Launch is available now to customers in the Contentstack Early Access technology program. General availability is scheduled for May 2023.

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