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Category: Computing & data (Page 40 of 91)

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.

Google Translate learns 24 new languages

May 11, 2022 /

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

May 9, 2022 /

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

May 5, 2022 /

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

May 4, 2022 /

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

April 28, 2022 /

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

Expert.ai updates AI-based natural language processing platform

April 26, 2022 /

Expert.ai announced the new release of its platform combining symbolic, human-like comprehension and machine learning to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. By extending core features and adding unique capabilities, such as out of the box knowledge models and connectors, the new release increases flexibility, simplifies integration and optimizes data pipelines to augment efficiency across every process that involves natural language (NL).

Specifically designed for natural language AI, the expert.ai platform leverages the combination of different AI techniques (machine learning and rule-based symbolic comprehension) with a simple and powerful authoring environment to support the full natural language processing workflow. It is based on the principle that no single natural language AI technique is a fit for every project. The new release includes:

  • ‘Smarter from the start’ knowledge models deliver NL applications to production faster with higher levels of business accuracy
  • Simplified deployment processes across multiple environments, including Azure
  • Easier integration, out of the box connectors
  • Enhanced natural language operations: provides the ability to include custom Python and Java scripts or third-party services for pre- or post-processing activities in NL workflow orchestrations.

https://www.expert.ai

Akamai launches Linode managed database

April 25, 2022 /

Akamai Technologies Inc., launched a managed database service powered by Linode with support for MySQL, PostgreSQL, Redis, and MongoDB. Akamai’s Linode Managed Database simplifies database deployment, helping developers reduce risk, increase efficiency, and minimize the complexity that comes with manual management of production database clusters.

The launch of Linode Managed Database service marks Akamai’s first product launch in its compute line of business following its acquisition of Linode in March of this year, to further its mission to develop a distributed compute platform from cloud to edge.

With Akamai’s Linode Managed Database service, users can defer common deployment and maintenance tasks to Linode and elect high availability configurations to ensure that database performance and uptime are never affected. The result: less hands-on management expertise is required to deploy applications and a decreased risk of downtime compared to manual management.

At launch, Akamai will offer Linode Managed Database for MySQL in all of Linode’s 11 global data centers, with support for PostgreSQL, Redis, and MongoDB to follow in the second quarter of 2022. With each supported managed database, customers can take advantage of features such as flat-rate pricing, security and recovery measures, flexible deployment options, and high availability cluster options.

https://www.linode.com ■ https://www.akamai.com

Databricks announces lakehouse offering for media and entertainment

April 21, 2022 /

Databricks launched a lakehouse platform for data-driven businesses in the media and entertainment industry. The Lakehouse for Media & Entertainment enables organizations across the media ecosystem to deliver better data and AI outcomes for consumers, advertisers and media partners with a single and collaborative platform for data, analytics, and AI. Databricks is also working with Amazon Web Services (AWS) and industry partners like Cognizant, Fivetran, Labelbox and Lovelytics.

With use case accelerators, custom Brickbuilder Solutions and a partner ecosystem, businesses will be able to deliver a personalized consumer experience, prepare for consumer analytics, and provide collaboration and secure data sharing among media teams. The Lakehouse for Media and Entertainment incorporates data solutions and accelerators for use cases like AI-driven recommendation engines, customer lifetime value and churn, quality of experience, community toxicity analysis, and advertising optimization.

With Databricks, organizations can leverage all of their data to build a holistic view of their audience and advertisers, make real-time decisions and drive innovation with advanced analytics. With business intelligence (BI), and AI capabilities on all data types, Databricks enables media organizations to use all of their data – including images, video and other unstructured data types – to develop a holistic understanding of their customers.

https://databricks.com/company/newsroom/press-releases/databricks-announces-lakehouse-offering-for-customers-in-the-media-and-entertainment-industries

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