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?.
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)
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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.
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.
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.
Provides enterprises and translation professionals with customization options for multi-domain, multi-dialect, multi-genre translations.
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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.