The Gilbane Advisor

Curated for content, computing, and digital experience professionals

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Adobe announces multiple product updates

At Adobe Summit Adobe unveiled a wide range of product updates across Adobe Experience Cloud, a customer experience management solution, and Adobe Creative Cloud a platform for creating compelling content, to help brands drive experience-led growth.

Adobe debuted new Adobe Sensei GenAI services, including Adobe Firefly – a new family of creative generative AI models, as well as new generative AI innovations across Adobe Experience Cloud to power marketing workflows. The company also announced new Adobe Product Analytics and a reimagined content management solution enabling marketers to self-serve website and mobile app edits.

Adobe unveiled Adobe Express for Enterprise, allowing anyone within an organization to rapidly create and iterate content, regardless of their creative skill level. Adobe also announced a Content Supply Chain solution, made possible through Creative Cloud and Experience Cloud that connect popular tools for planning, creating, reviewing and distributing creative collateral so teams can collaborate more efficiently.

AI and generative AI services will be integrated natively in Adobe Experience Cloud as a co-pilot for marketers, improving productivity and efficiency while providing full creative control and trusted governance capabilities. Sensei GenAI will leverage multiple large language models (LLMs) including Microsoft Azure OpenAI and FLAN-T5 within Adobe Experience Platform, depending on business needs.

https://news.adobe.com/home/default.aspx

Ontotext releases Metadata Studio 3.2

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, released Ontotext Metadata Studio version 3.2. The metadata management and tagging control solution helps organizations to transform content into knowledge. Users can utilize the taxonomical instance data in their knowledge graph to achieve explainable and customizable out-of-the-box taxonomy-driven tagging.

Ontotext Metadata Studio 3.2 makes it easy for users to determine whether a use case could be automated or not across any third-party text mining service, simplifies orchestrating complex text analysis across third-party services, and evaluates their quality against internal benchmarks or against one another.

With version 3.2, Ontotext Metadata Studio enables non-technical end users to create, evaluate, and improve the quality of their text analytics service by tagging and linking against their own business domain model. With extensive explainability and control features, users who are not proficient in text analytics techniques can understand the causal relationships between the underlying dataset, the specific text analytics service configuration, and the final output.

This enhancement enables efficient user intervention, making the human truly in the loop and completely in control of the whole extraction process. Ontotext Metadata Studio is domain neutral and applicable for various domains and use cases.

https://www.ontotext.com

Syncro Soft releases Oxygen XML suite 25.1

Syncro Soft, developer of the Oxygen XML suite of products, announced the availability of version 25.1 of its XML suite of products: Oxygen XML Editor, Author, Developer, Web Author, Publishing Engine, WebHelp, PDF Chemistry, and Scripting, as well as version 3.0 of the Oxygen Feedback comment management platform.

Highlights include productivity improvements for DITA authors and DITA publishers who produce either CSS-based PDF or WebHelp output. JSON schema designers get functionality to help them in Design mode, upgrades to JSON tools, and support for editing JSON Lines documents. YAML editing support is now similar to Oxygen’s JSON support. The scripting community now has access to ready-to-use GitHub project templates and GitHub actions that allow users to automate scripts and some of the existing scripts were improved, while new ones were added.

Oxygen XML Web Author comes with updates for the comparison tool and image maps, new plugins are available for adding support for CALS tables in custom frameworks, rendering LaTeX equations, and providing client-side evaluation of XPath expressions. The latest version of Oxygen Feedback is the Content Indexing and Search feature, which enables you to utilize Oxygen Feedback as an external search engine for your published Oxygen WebHelp Responsive output.

https://www.sync.ro

Gilbane Advisor 3-15-23 — Building ChatGPT, Data-Centric AI

This week we feature content from Rama Ramakrishnan, and a course by, Anish Athalye, Curtis Northcutt, Jonas Mueller, Cody Coleman, Alexandra Zytek, & Sharon Zhou.

Additional reading comes from Benjamin Marie, Sarah Gooding, and Dmitry Kan.

News comes from Ontotext, Acquia, Lucid Software, and Databricks.

👉 No issue next week — we’ll be back March 29th.

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 https://gilbane.com/gilbane-advisor-index/


Opinion / Analysis

The Road to ChatGPT — An informal explainer on how ChatGPT was built

Rama Ramakrishnan…
“I have written an informal “explainer” on how ChatGPT was built. I have tried to focus on the key ideas and have kept technical details to the bare minimum. Please view in full-screen mode. I hope you find it useful.”

This is excellent. You truly don’t need to be technical to follow it. Don’t let the 104 slides scare you off; you can fly through most of them. 

https://www.linkedin.com/feed/update/urn:li:activity:7038334518004482048/

Introduction to Data-Centric AI

“In real-world applications, data is messy and improving models is not the only way to get better performance. You can also improve the dataset itself rather than treating it as fixed. Data-Centric AI (DCAI) is an emerging science that studies techniques to improve datasets, which is often the best way to improve performance in practical ML applications.”

MIT has made this course freely available to all. Lectures and materials are online. This is a valuable resource for professional practitioners as well as students. (1 min for the course description – the rest is up to you).

https://dcai.csail.mit.edu

More Reading

All Gilbane Advisor issues


Content technology news

Ontotext releases GraphDB 10.2

Model Serving provides fully managed production machine learning (ML) capabilities natively within the Databricks Lakehouse Platform.
https://www.ontotext.com/

Acquia adds integrations to Digital Asset Management (DAM) System

The new integrations give customers more control over brand consistency, extend the value of content and data created in other systems.
https://www.acquia.com/

Lucid Software announces new integrations to enhance collaboration

Integrations streamline processes and workflows within a company’s tech stack and creates a foundation for effective and efficient collaboration.
https://lucid.co/

Databricks launches Databricks Model Serving

Model Serving provides fully managed production machine learning (ML) capabilities natively within the Databricks Lakehouse Platform.
https://www.databricks.com/

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 releases GraphDB 10.2

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, launched GraphDB 10.2, an RDF database for knowledge graph. GraphDB enables organizations to link diverse data, index it for semantic search, and enrich it via text analysis to build large scale knowledge graphs. With improved cluster backup and cloud support, GraphDB lowers traditional memory requirements, and provides a more transparent memory model.

Users can oversee system health and diagnose problems easier using industry-standard toolkit Prometheus or by monitoring performance directly within the GraphDB Workbench itself. The solution also includes support for X.509 client certificate authentication for greater flexibility when accessing a secured GraphDB instance.

Backups can also be stored directly in Amazon S3 storage to ensure the most up to date data is securely protected against inadvertent changes or hardware failures in local on-prem infrastructure.

Internal structures and moved memory usage from off-heap to the Java heap were also redesigned for a more straightforward memory configuration, where a single number i.e. (the Java maximum heap size) controls the maximum memory available to GraphDB. Memory used during RDF Rank computation was also optimized making it possible to compute the rank of larger repositories with less memory.

https://www.ontotext.com

Gilbane Advisor 3-8-23 — LLMs, KBs & LlamaIndex, BigQuery + Search Console

This week we feature articles by Purvanshi Mehta, and Daniel Waisberg, Gaal Yahas, & Haim Daniel.

Additional reading from Jeremy Perdue, Rachel Gordon, and Nandan Grover.

News comes from Quark, TigerGraph, Slang Labs, and DeltaXML.

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 https://gilbane.com/gilbane-advisor-index/


Opinion / Analysis

Indexing and Querying external KBs through GPT — GPT Index (LlamaIndex)

Purvanshi Mehta provides an overview of how you can use the GPT Index (now LlamaIndex) to customize large language models by connecting with external knowledge bases relevant to your application domain. She helpfully includes examples for different types of data sources. (6 min).

https://medium.datadriveninvestor.com/querying-external-kbs-through-gpt-gpt-index-llamaindex-fd8cbad2a4c

Bulk data export: a new and powerful way to access your Search Console data

From the Google Search Console Team…

You can configure an export in Search Console to get a daily data dump into your BigQuery project. The data includes all your performance data, apart from anonymized queries, which are filtered out for privacy reasons … This means you can explore your data to its maximum potential, joining it with other sources of data and using advanced analysis and visualization techniques. … This data export could be particularly helpful for large websites with tens of thousands of pages, or those receiving traffic from tens of thousands of queries a day (or both!). (3 min).

https://developers.google.com/search/blog/2023/02/bulk-data-export

More Reading

All Gilbane Advisor issues


Content technology news

Quark releases Quark Publishing Platform NextGen v3.0

The content automation platform is designed to simplify the complexities associated with enterprise content lifecycle management.
https://www.quark.com ■ https://developer.quark.com

TigerGraph expands cloud capabilities

Provides a comprehensive, streamlined approach to deploy and maintain multiple graph database solutions with visual analytics and machine learning tools.
https://www.tigergraph.com/

Slang Labs launches CONVA

CONVA is a full-stack solution that provides smart and highly accurate multilingual voice search capabilities inside e-commerce apps.
https://www.slanglabs.in/media

DeltaXML eases HTML table comparison with XML Compare 14

The finer-grained detail for cells and rows are easier to display and provide greater understanding when reviewed.
https://www.deltaxml.com

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

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.

https://www.deltaxml.com

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.

https://www.databricks.com

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