The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Gilbane Advisor 5-25-22 — ML model risks, time series databases

This week we feature articles from Pete Warden, and Kovid Rathee.

Additional reading comes from Ng Wai Foong, Sean Hollister, Rand Fishkin, and Kevin Indig.

News comes from Franz, Finch Computing, Komprise, and MerlinOne.

Reminder: If you’ve missed any recent issues you can find them here.


Opinion / Analysis

How should you protect your machine learning models and IP?

Pete Warden gets a lot of questions about this “usually… from executives, and digging deeper it became clear they were most worried about competitors gaining an advantage from what we released.”. It’s a good question and Warden provides good advice on what to do, and explains why it may be less of a problem than you think. (5 min)

https://petewarden.com/2022/05/08/how-should-you-protect-your-machine-learning-models-and-ip/

The landscape of time series databases

The growth of time series databases is not what it was, but it’s mostly because other types of databases have been incorporating more support for time based data. Kovid Rathee provides a useful update. (7 min)

https://towardsdatascience.com/the-landscape-of-timeseries-databases-95cd7f7ee64d

All Gilbane Advisor issues

More Reading…


Content technology news

Relationship extraction with co-reference added to Finch for Text

Relationship extraction allows users to decipher relationships between entities. Co-reference resolves words like “her”, “the leader” appearing in text.
https://gilbane.com/2022/05/relationship-extraction-with-co-reference-added-to-finch-for-text/

Franz releases AllegroGraph 7.3

AllegroGraph 7.3 extends GraphQL to Knowledge Graph Developers and Enterprise Data Fabrics with enhanced GraphQL query capabilities.
https://gilbane.com/2022/05/franz-releases-allegrograph-7-3/

Komprise automates unstructured data discovery with Smart Data Workflows

To discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to ML tools and data lakes.
https://gilbane.com/2022/05/komprise-automates-unstructured-data-iscovery-with-smart-data-workflows/

MerlinOne brings visual search to video for digital asset management

Just by describing a scene. NOMAD for Video from MerlinOne searches your collection and takes you there with no additional effort required.
https://gilbane.com/2022/05/merlinone-brings-visual-search-to-video-for-digital-asset-management/

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.

Subscribe | Feed | View online | Editorial policy | Privacy policy | Contact

Komprise automates unstructured data discovery with Smart Data Workflows

Komprise announced Komprise Smart Data Workflows, a systematic process to discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to AI and machine learning (ML) tools and data lakes.

Komprise has expanded Deep Analytics Actions to include copy and confine operations based on Deep Analytics queries, added the ability to execute external functions such as running natural language processing functions via API and expanded global tagging and search to support these workflows. Komprise Smart Data Workflows allow you to define and execute a process with as many of these steps needed in any sequence, including external functions at the edge, datacenter or cloud. Komprise Global File Index and Smart Data Workflows together reduce the time it takes to find, enrich and move the right unstructured data. Komprise Smart Data Workflows are relevant across many sectors. Here’s an example from the pharmaceutical industry.

https://www.komprise.com/komprise-automates-unstructured-data-discovery-with-smart-data-workflows/

Relationship extraction with co-reference added to Finch for Text

Finch Computing, developers of real-time natural language processing solution Finch for Text, announced that it has added relationship extraction and co-references to the product. Relationship extraction gives users an ability to decipher relationships between entities, and co-reference enables words like “her” or “him” or “the leader” appearing in text to be resolved to a specific, named entity.

Finch for Text can now find important relationships between entities such as: Acquired-by, Co-Investor-with, Competitor-with, Customer-of, Director-of, Educated-at, Employer-of, Founder-of, Invested-in, Organization-Location, Owner-of, Partner-of, Person-Location, Relative-of, and Subsidiary-of. For companies and people in particular, understanding these connections helps users perform faster, richer and deeper analysis.

Entity co-reference refers to the ability to resolve otherwise obscure references to an entity – like her, him, the company, the product – to a disambiguated entity. The value of this capability is that it helps users understand all mentions of an entity even if that mention isn’t by name. It improves salience scores because the product can better gauge how much an article is about a given entity. It also improves sentiment scores with more mentions to analyze, and the same is true for relationship extraction – there are more relationships discovered because there are more mentions linked to an entity.

https://finchcomputing.com/2022/05/19/finch-computing-adds-spanish-german-language-support-to-its-finch-for-text-product-2/

Franz releases AllegroGraph 7.3

Franz Inc., an early innovator in Artificial Intelligence (AI) and supplier of Graph Database technology for Entity-Event Knowledge Graph Solutions, announced AllegroGraph 7.3, with enhanced GraphQL query capabilities for distributed Knowledge Graphs and Enterprise Data Fabrics. With AllegroGraph’s GraphQL APIs, developers can create performant and more complex data-driven applications. GraphQL’s capability to fetch the exact and specific data in a single request delivers flexibility to Knowledge Graph developers.

AllegroGraph’s GraphQL Support GraphQL is an open-source data query language for APIs and a runtime for fulfilling queries with data. It allows API clients to query data as a graph irrespective of how the data is stored, making it possible to loosely couple data sources with client applications. GraphQL provides a complete and understandable description of the data in the API, gives clients the power to ask for exactly what they need and nothing more, and makes it easier to evolve APIs over time. Using GraphQL APIs within AllegroGraph can lower integration costs and minimize redundancy in enterprise systems, while improving the value of data-driven applications. AllegroGraph 7.3 is immediately available directly from Franz Inc.

https://franz.comhttps://allegrograph.com

Gilbane Advisor 5-18-22 — fediverse, web apps, languages

This week we feature articles from Richard MacManus, and Chris Nielsen.

Additional reading comes from Alan Morrison, Mikkel Dengsøe, and Isaac Caswell & Ankur Bapna.

News comes from Google Translate, Acquia, Cloudflare, and Elastic Search.


Opinion / Analysis

Does the fediverse point to our social media future?

Well, perhaps. There is certainly much that is appealing about the open source, standards-based, decentralized approach to social and web publishing and it’s most popular app, Mastodon. Richard MacManus is cautiously optimistic and correctly judicious regarding the timeframe in his answer (6 min).

https://thenewstack.io/the-fediverse-points-to-our-social-media-future-post-musk/

I replaced my native iOS app with a cross-platform web app and no one noticed

Chris Nielsen was shocked that performance was not an issue when he built a web app version of his animation-heavy iOS app. He was also pleasantly surprised to find the web app caused fewer bugs than the native version. Web apps have caught up to native apps in many/most ways, so if you are still maintaining three code bases you should take another look as Nielsen did (8 min).

https://javascript.plainenglish.io/i-replaced-my-native-ios-app-with-a-cross-platform-web-app-and-no-one-noticed-1653901ce244

All Gilbane Advisor issues

More Reading…


Content technology news

Google Translate learns 24 new languages

These are the first languages we’ve added using Zero-Shot Machine Translation, where a machine learning model only sees monolingual text.
https://gilbane.com/2022/05/google-translate-learns-24-new-languages/

Cloudflare and open source community to create new API standards

Developers will be able to write and run code and easily transfer it–between Cloudflare Workers, Deno, and Node.js seamlessly.
https://gilbane.com/2022/05/cloudflare-and-open-source-community-to-create-new-api-standards/

Acquia expands FedRAMP Authority to Operate

Adds Acquia Site Studio, the latest versions of Acquia Search with Solr 7 and Acquia Platform Email capabilities to the FedRAMP boundary.
https://gilbane.com/2022/05/acquia-expands-fedramp-authority-to-operate/

Elastic updates Elastic search platform

Enhanced capabilities include support for Elasticsearch query syntax, prebuilt Enterprise Search tools, out-of-the-box tuning and analytics tools…
https://gilbane.com/2022/05/elastic-updates-elastic-search-platform/

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.

Subscribe | Feed | View online | Editorial policy | Privacy policy | Contact

MerlinOne brings visual search to video for digital asset management

MerlinOne announced it is now possible to search across your entire video collection to find just the right bit of content you are looking for, simply by describing it. NOMAD for Video from MerlinOne takes you there with no additional effort required.

For most video searching you can only search for a filename; or in some systems, search by words spoken in the video. But many scenes have no narrative: how do you search for a kissing scene, or a car chase, or the sequence when the skier your company sponsors catches air going downhill while wearing your branded skis?

MerlinOne targeted this problem, recognizing it as critical for Digital Asset Management (DAM) and other applications. After five years of effort in AI, we have developed a solution. Two examples NOMAD for Video solves for you are:

  • Want to find the clip of your CEO with your company branding in the background?
  • Want to show a friend your favorite scene in a movie right now (no fumbling, no talking to stall while you frantically search)?

NOMAD for Video is an option in MerlinOne’s DAM system and is also available via API as a service to add this functionality to other systems.

https://merlinone.com

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

All Gilbane Advisor issues

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.

Subscribe | Feed | View online | Editorial policy | Privacy policy | Contact

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/

« Older posts

© 2022 The Gilbane Advisor

Theme by Anders NorenUp ↑