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Category: Computing & data (Page 1 of 52)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

Komprise automates unstructured data iscovery 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

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/

Cloudflare and open source community to create new API standards

Cloudflare, Inc. announced that it is collaborating with Deno and individual core contributors of the Node.js open source project, bringing together three of the largest JavaScript environments, to give developers flexibility and choice while creating the standards of the future of edge computing. By collaborating around a common set of standards, the effort will aim to ensure code developed in one environment will work in another.

The Web-interoperable Runtimes Community Group (or “WinterCG”) is working with organizations including NearForm and Vercel to ensure that developers’ voices were heard in the creation of a new community group working within existing standards bodies. The API Standards allow developers to:

  • Use the best tool or framework for the job: It will be easier to leverage tools and integrations from the community across runtimes, allowing developers to use the best tool for the job.
  • Have a uniform approach to writing server side code: By removing platform specific nuances and the need to learn different platforms and focusing on functionality it’s easier for developers to ship better code.
  • Move applications as technology needs change: As application needs evolve and change over time there is no need for massive re-writes and adding or switching vendors.

https://blog.cloudflare.com/introducing-the-wintercg/

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

Apple, Google and Microsoft announced plans to expand support for a common passwordless sign-in standard created by the FIDO Alliance and the World Wide Web Consortium. The expanded capabilities will give websites and apps the ability to offer an end-to-end passwordless option. Users will sign in through the same action that they take multiple times each day to unlock their devices, such as a simple verification of their fingerprint or face, or a device PIN. This will be more secure when compared to passwords and multi-factor technologies such as one-time passcodes sent over SMS.

The platforms already support the FIDO Alliance standard, but previous implementations require users to sign in to each website or app with each device before using passwordless functionality. Today’s announcement extends these platform implementations to:

  1. Allow users to automatically access their FIDO sign-in credentials (referred to by some as a “passkey”) on many of their devices, even new ones, without having to re-enroll every account.
  2. Enable users to use FIDO authentication on their mobile device to sign in to an app or website on a nearby device, regardless of the OS platform or browser they are running.

https://fidoalliance.org/apple-google-and-microsoft-commit-to-expanded-support-for-fido-standard-to-accelerate-availability-of-passwordless-sign-ins/

Sinequa Search Cloud available through Azure Marketplace

Sinequa, a Search Cloud provider, strengthened its integration with Microsoft by enabling its customers to easily procure Sinequa’s Search Cloud platform directly from the Azure Marketplace using private offers. Sinequa is now available on the Azure Marketplace for all Microsoft Azure Consumption Commitment (MACC) customers. With this new private offer, customers can now fulfill license subscriptions for Sinequa under their existing MACC, allowing them to decrement pre-committed Azure spend. Sinequa license and Sinequa workloads on Azure will be counted 100 percent toward the MACC.

Sinequa and Microsoft customers can benefit from co-sell engagements to bring Search Cloud solutions to their Azure tenant. Sinequa also works with Microsoft’s Cloud Solution Provider (CSP) program to deliver world-class search to Global 2000 customers.

Sinequa’s Search Cloud Platform, optimized for Azure, is an enterprise search platform that enables innovative organizations to ingest enterprise data sources, transform that data into searchable information, and obtain precise insights to natural language queries.

https://azuremarketplace.microsoft.com/en-us/marketplace/apps/sinequa.sinequa_macc_enabled

Searchable.ai announces Constellation

Searchable.ai announced Constellation, their unified data platform that brings together all the data and information that knowledge workers and teams need in one place. While Searchable.ai initially focused on unifying data and information from files, such as those created with Microsoft Office and Google Workspace apps, as well as PDFs, Constellation makes it possible to unify user-inputted SaaS data. Structured information from Jira tickets and Trello cards, for example, as well as conversations in apps like Slack, can now be searchable and shareable. Additionally, Constellation’s Live Sync technology means data is constantly being updated and refreshed, so users always have access to the latest information.

Constellation supports an unlimited amount of data and is engineered with enterprise-grade security. Eventually, Searchable.ai will enable developers to access the Constellation framework for their own apps and services, including corporations who may want to ingest this data into their own repositories.

For now, Searchable.ai will leverage Constellation to extend its end-user capabilities beyond search. The company will soon be releasing Collections, a way for users to assemble groups of files, email, and cloud data in a central space where others can add, find, and access what they need for their work.

https://www.searchable.ai/post/announcing-constellation

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