Curated for content, computing, and digital experience professionals

Day: May 11, 2022

Gilbane Advisor 5-11-22 — relational KGs, feature importance

This week we feature articles from Tiernan Ray, and Cristiana de Azevedo von Stosch & Abhishek Singh.

Additional reading comes from Scott Brinker, Julia Angwin & Joris van Hoboken, Janko Roettgers, and Thomas Claburn.

News comes from the FIDO Alliance, Apple, Google and Microsoft, Sinequa, TeamViewer & SAP, and AppTek.


Opinion / Analysis

From the modern data stack to knowledge graphs

Tiernan Ray summarizes Microsoft and Snowflake veteran Bob Muglia’s keynote at last weeks Knowledge Graph Conference. Muglia’s presentation is about “relational knowledge graphs” that can model both data and and business rules. He is currently on the board of Relational AI, a startup building such a product. (4 min). Also see Has SQL gone too far?.

https://www.zdnet.com/article/microsoft-veteran-bob-muglia-relational-knowledge-graphs-will-transform-business/

Why graph-modeling frameworks are the future of unsupervised learning

If you have too many features for the number of samples or want to remove co-linear features to improve your model, there are many techniques that can be applied in a supervised learning setting — Decision Trees, Random Forest, etc.

Until now, there are very few approaches that can identify feature importance in an unsupervised learning problem.

Cristiana de Azevedo von Stosch and Abhishek Singh propose a method for “feature selection based on feature importance determination [that] will reduce the processing time of any modeling approach.”. (7 min)

https://towardsdatascience.com/why-graph-modeling-frameworks-are-the-future-of-unsupervised-learning-2092b089caff

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More Reading…


Content technology news

Apple, Google and Microsoft commit to expanded support for FIDO standard

The new capability will allow websites and apps to offer consistent, secure, and easy passwordless sign-ins to consumers across devices and platforms.
https://gilbane.com/2022/05/apple-google-and-microsoft-commit-to-expanded-support-for-fido-standard/

Sinequa Search Cloud available through Azure Marketplace

Customers can now fulfill license subscriptions for Sinequa under their existing MACC, allowing them to decrement pre-committed Azure spend.
https://gilbane.com/2022/05/sinequa-search-cloud-available-through-azure-marketplace/

TeamViewer and SAP to digitalize warehouse operations with augmented reality

TeamViewer Frontline Augmented Reality (AR) solutions now enhance SAP Extended Warehouse Management with AR-based workflows.
https://gilbane.com/2022/05/teamviewer-and-sap-to-digitalize-warehouse-operations-with-augmented-reality/

AppTek launches new metadata-informed neural machine translation system

Provides enterprises and translation professionals with customization options for multi-domain, multi-dialect, multi-genre translations.
https://gilbane.com/2022/04/apptek-launches-new-metadata-informed-neural-machine-translation-system/

All content technology news


The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

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Google Translate learns 24 new languages

From the Google Products Blog…

… today we’ve added 24 languages to Translate, now supporting a total of 133 used around the globe.

Over 300 million people speak these newly added languages — like Mizo, used by around 800,000 people in the far northeast of India, and Lingala, used by over 45 million people across Central Africa. As part of this update, Indigenous languages of the Americas (Quechua, Guarani and Aymara) and an English dialect (Sierra Leonean Krio) have also been added to Translate for the first time.

This is also a technical milestone for Google Translate. These are the first languages we’ve added using Zero-Shot Machine Translation, where a machine learning model only sees monolingual text — meaning, it learns to translate into another language without ever seeing an example. While this technology is impressive, it isn’t perfect. And we’ll keep improving these models to deliver the same experience you’re used to with a Spanish or German translation, for example. If you want to dig into the technical details, check out our Google AI blog post and research paper.

https://blog.google/products/translate/24-new-languages/

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