The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Page 17 of 909

Cloudinary updates Digital Asset Management (DAM) platform

Cloudinary, an image and video platform, announced a key enhancement to its enterprise DAM, Cloudinary Assets, with the addition of Studio, a new feature that allows users to quickly adapt images and video easily. Powered by AI, Studio users will benefit from more efficient media management workflows, improved collaboration, and faster time to market. With access to built-in generative AI capabilities, users can quickly remove backgrounds, add drop shadows or otherwise manipulate images and videos to suit their needs.

Cloudinary Assets users save time with the ability to define one or multiple transformations that the platform can use to instantly optimize images and videos for all channels, devices, and platforms and automatically generate variations when uploaded or on demand.

Studio brings additional workflow efficiencies to a modern DAM platform that includes:

  • Automation of collaboration workflows: Cloudinary makes it easy to create and share image and video collections between internal teams and external collaborators, facilitate review and approval workflows, and navigate asset handoffs.
  • Unlimited asset variations: From a single source file, users can rely on AI to automatically create an unlimited number of experience-ready assets that are optimized for performance and tailored to the specifications of each channel.

https://cloudinary.com

Gilbane Advisor 9-13-23 — Text-to-CAD, magic & zero knowledge proofs

This week we feature articles by Reggie Raye & K. Alexandria Bond, and Michael Blau.

Additional reading comes from Tom Krazit, Carl Franzen, Lukas Blecher, Guillem Cucurull, Thomas Scialom & Robert Stojnic, and Paul Baier, Jimmy Hexter, & John J. Sviokla.

News comes from Kobai & Databricks, Merkle, InfluxData, and Neo4j.

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


Opinion / Analysis

Text-to-CAD: risks and opportunities

I haven’t seen much discussion of generative AI and 3D, where the output is a 3D CAD model rather than an image, but of course this is already a thing. Reggie Raye & K. Alexandria Bond provide a readable and useful overview of some tools to use, as well as advice on dealing with the unique design and engineering applicable. (12 min)

https://thegradient.pub/text-to-cad/

Secrets, and how to prove them: A magician’s guide to zero-knowledge proofs

If you’ve read multiple explanations of what a zero-knowledge proof is and you’re not convinced you’ve quite got the hang of it, or you are confident you have, but are looking for a non-technical explanation, you know, for a friend, you’ll appreciate this short demo and explanation by magician by Michael Blau — though he keeps his secret. He also works with crypto investors. (3 min)

https://a16zcrypto.com/posts/article/a-magicians-guide-to-zero-knowledge-proofs/

More Reading

All Gilbane Advisor issues


Content technology news

Merkle launches global composable commerce accelerator for Salesforce Commerce

Developed to work with Contentful and Magnolia content management systems, the accelerator extends Salesforce Commerce Cloud and streamlines integration.
https://www.merkle.com/en/merkle-now/press-releases/2023/merkle-launches-global-composable-commerce-accelerator-for-sales.html

InfluxData Announces InfluxDB Clustered

The rebuilt database engine is optimized for real-time analytics with higher performance, unlimited cardinality, and SQL support.
https://www.influxdata.com

Kobai announces partnership with Databricks

Kobai’s Saturn platform is embedded directly in the data layer, allowing organizations to query data without moving it from the lakehouse.
https://www.kobai.io/articles/strategic-partnership-between-databricks-and-kobai

Neo4j adds vector search within its native graph database

Enables customers to achieve richer insights from semantic search and generative AI applications, and serve as long-term memory.
https://neo4j.com/press-releases/neo4j-vector-search/

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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Netlify announces Software Developer Kit (SDK)

Netlify, a platform for modern web development, announced the general availability of the Netlify Software Development Kit (SDK), a suite of tools designed to provide technology partners, web development agencies, and customers with custom integration development capabilities. With Netlify SDK, development teams can custom tailor their web projects, web properties, and web architectures for their business needs. Netlify SDK brings improved productivity, flexibility, and speed-to-market to level-up enterprise development team capabilities.

Netlify SDK includes several new features for Netlify Front-End Cloud, including Build Event Handlers, API Handlers, a new Integration UI, and more, to help organizations to accelerate the migration to and evolution of composable web architectures. Netlify SDK helps enterprise development teams gain:

  • Support for any content source – A standardized development process, for users to quickly spin up custom integrations that can sync to data sources.
  • Improved developer productivity – Enables teams to take advantage of off-the-shelf integrations.
  • Decreased time to delivery – Developers can reduce time required to get started building custom architectures and continue scaling bespoke web experiences.
  • An elevated visual editing experience – Integrations with Stackbit leverage a visual editing experience easing cross-department collaboration that allows non-developers to interact with the platform.

https://www.netlify.com/products/software-development-kit

Kobai announces partnership with Databricks 

Kobai, a codeless knowledge graph platform, announced a new partnership with Databricks so joint customers can leverage the insights of knowledge graphs with the Databricks Lakehouse Platform. Kobai’s Saturn platform is embedded directly in the data layer, allowing organizations to query data without moving it from the lakehouse, with W3C and Lakehouse standards providing interoperability.

Semantic data, which imparts meaning and context to information, plays a pivotal role in optimizing various aspects of the manufacturing process. By integrating semantic data into factory operations, enterprises can enhance their production efficiency, quality control, and predictive maintenance. This technology enables machines, sensors, and devices to communicate in a more intelligent and coherent manner, facilitating real-time monitoring and analysis of production lines. Semantic data aids in the creation of interconnected systems that can adapt and self-optimize.

Kobai’s codeless platform provides a business-first approach and collaborative environment to rapidly share insights across the entire organization, transforming the way enterprises capture and create their business logic with a whiteboard experience. The Saturn knowledge graph works directly with Kobai’s Studio framework and Tower visualization products to infuse data with meaning and context, creating a semantic data fabric that grows over time.

https://www.kobai.io/articles/strategic-partnership-between-databricks-and-kobai

Merkle launches global composable commerce accelerator for Salesforce Commerce Cloud with Contentful and Magnolia 

Merkle announced the launch of its new global accelerator for Salesforce Commerce Cloud, which enables brands to achieve a modern composable, API-first architecture faster. Developed to work with Contentful and Magnolia, the accelerator extends Salesforce Commerce Cloud and streamlines integration with other enterprise content management platforms.

By joining forces with Contentful and Magnolia, Merkle enables businesses to implement enterprise-ready headless content management capabilities with Salesforce Commerce Cloud. The new accelerator drives improved time to market, a future-ready technology architecture, and greater innovation in front-end consumer experience. It allows brands to manage front-end site experience and web content through the content management platform, in addition to user experience functionality. This reduces the initial front-end development work for brands to implement a headless architecture.

The accelerator brings together Merkle’s Salesforce Commerce Cloud expertise and modern content management platforms Contentful and Magnolia, and is supported by Merkle’s global design system to expedite design and provide brand experience components. This gives businesses the tools to create and deliver exceptional digital commerce experiences while reducing cost and time to implement composable architectures.

https://www.merkle.com/en/merkle-now/press-releases/2023/merkle-launches-global-composable-commerce-accelerator-for-sales.html

InfluxData Announces InfluxDB Clustered

InfluxData, creator of the time series platform InfluxDB, announced InfluxDB Clustered, its self-managed time series database for on-premises or private cloud deployments. With the release of InfluxDB Clustered, InfluxData completes its commercial product line developed on InfluxDB 3.0, its rebuilt database engine optimized for real-time analytics with higher performance, unlimited cardinality, and SQL support. 

InfluxDB Clustered is the evolution of InfluxDB Enterprise, InfluxData’s enterprise software product for on-premises and private cloud environments. Now with the release of InfluxDB Clustered, those same customers gain all the capabilities of the reimagined InfluxDB 3.0, but now specifically packaged and configured for their own unique hosting environments and data storage requirements. Deployed natively in Kubernetes, InfluxDB Clustered combines the scale and flexibility of the cloud with the security and control of a self-managed infrastructure.

InfluxData also recently announced the availability of InfluxDB Cloud Dedicated, a fully managed and scalable single-tenant InfluxDB cluster based on the InfluxDB 3.0 architecture and intended for large-scale time series workloads. Together, InfluxDB Cloud Dedicated and InfluxDB Clustered give enterprises multiple options in how they manage and scale time series workloads, whether in the cloud, in their own environment, or in combination for hybrid environments. 

https://www.influxdata.com

Gilbane Advisor 9-6-23 — AI disorders, knowledge graph paths

This week we feature articles by Ina Fried & Scott Rosenberg, and Peter Lawrence.

Additional reading comes from Vitalik Buterin, Daniel Smilkov & Nikhil Thorat, and Jan Kammerath.

News comes from Google, Open AI, ElevenLabs, Bloomreach, and DeltaXML.

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


Opinion / Analysis

AI could choke on its own exhaust as it fills the web

In the last issue before our summer break we recommended a paper on LLM model collapse, caused by LLMs training on data sets that include previously generated data. This week Ina Fried, Scott Rosenberg provide a short and useful summary of this and other “AI disorders” and some of the repercussions as more generated data populates the web. (3 min). 

https://www.axios.com/2023/08/28/ai-content-flood-model-collapse

Having a tough chat with an LLM about knowledge graph paths

There is a lot of enthusiasm around pairing knowledge graphs and LLMs, but there is also a lot to learn. Peter Lawrence is on the case, and in this article explores how “an LLM can be tuned or prompted with a knowledge graph, to answer tough questions about shortest paths through the graph.” (15 min)

https://blog.gopenai.com/having-a-tough-chat-with-an-llm-about-knowledge-graph-paths-d4fc43f97332

More Reading

All Gilbane Advisor issues


Content technology news

Duet AI for Google Workspace now available

With Duet AI, we added AI as a real-time collaborator that can act as a coach, source of inspiration, and productivity booster.
https://workspace.google.com/blog/product-announcements/duet-ai-in-workspace-now-available

Introducing ChatGPT Enterprise

Offers enterprise-grade security & privacy, higher-speed GPT-4 access, longer context windows, advanced data analysis, and customization options.
https://openai.com/blog/introducing-chatgpt-enterprise

XElevenLabs releases Eleven Multilingual v2

New foundational deep learning model supporting multilingual capabilities across 28 languages to broaden and improve accessibility of content.
https://elevenlabs.io/blog/multilingualv2/

Bloomreach announces Clarity

Businesses connect conversations to product catalogs, and integrate individual conversations across channels, including website, chat, and SMS.
https://www.bloomreach.com/en/products/clarity

DeltaXML improves CALS table handling to merge products

Flexible n-way comparison and merge of CALS tables to produce rigorous and accurate comparisons. Supports table versions different structures.
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 improves CALS table handling to merge products

DeltaXML announced the release of new versions of their products XML Merge and DITA Merge, featuring improved handling of changes in CALS tables, as already available in XML Compare. It also adds the ability to ignore the order of columns, which means that a change in order doesn’t trigger delta markup in the result. Those used to seeing row duplications in their table results will be pleased to know that these have been dramatically reduced.

With XML Merge 11.0.0 and DITA Merge 7.0.0, this new table algorithm is included in merge products. This has added more complexity, but these products, as well as being easy to configure, produce the most rigorous and accurate comparisons. If some of the table versions have different structures, it’s necessary to select a ‘master’ table from which to create the result, which is used as the priority to determine which version to use as the master. The spans in that version are prioritised and other spans are created around them as necessary to ensure table validity. This approach helps to keep the result table as compact as possible while still representing how the table content has changed.

https://www.deltaxml.com

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