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Category: Computing & data (Page 61 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.

Ontotext releases GraphDB 9.5

Ontotext released GraphDB 9.5, which includes data virtualization from tables to graphs and back. GraphDB makes it easy to turn any structured data into an uniform graph – one can access data in relational databases as a virtual graph as well as transform and reconcile tabular data into graphs with unambiguous semantics. GraphDB also makes it easy to consume data – along with the SPARQL protocol and the GraphQL interfaces, data can be accessed via JDBC to suit BI tools and a wide range of legacy systems.

The new release extends the JDBC driver for GraphDB functionality with a user-friendly interface to manage the SQL views. Part of GraphDB’s Workbench, the interface eliminates the need to access the database file system and performs validations of the input SPARQL query and its binding to SQL value types. All users with read access privileges can list the currently active SQL views, and those with write can create or modify them. The release brings also includes improved security and single sign-on support, performance optimizations, and bug fixes to SHACL validation and cluster support, upgrade to the latest version of RDF4J and upgraded connectors to Lucene, SOLR, and ElasticSearch.

https://www.ontotext.com/products/graphdb/

Glue updates collaboration platform

Glue Collaboration, provider of collaborative, real-time VR software services, announced a new release of Glue that enables greater immersion and frictionless interaction for remote teams as they co-create, learn, plan and share. Glue provides shared virtual environments where dispersed participants can come together as if they were face to face in a real physical space. Appealing to people’s visual, haptic and auditory senses, Glue provides a level of immersion in remote meetings simply not possible with conventional video conferencing software.

Glue introduced new expressive avatars that use artificial intelligence and advanced graphics to more closely mimic people’s behavior and features to make communication feel as natural as it does in the real world. Using the new built-in avatar configurator, users can also create their own avatar, adjusting face shape and features, hair and clothing as well as customizing colors. Millions of permutations are possible. The new operating system comes with speech-to-text technology, a new whiteboard for ideation, now also accessible to non-VR Glue users, as well as a camera that zooms and shoots in the resolution users choose. Glue has also made improvements to the way users manage their teams, files and spaces.

https://www.glue.work

Clarifai collaborates with Automation Anywhere on unstructured data

Clarifai, an AI lifecycle platform provider for managing unstructured image, video, and text data, has joined the Automation Anywhere Technology Alliance Program (TAP) to drive AI search and discovery related use cases. Clarifai’s computer vision and natural language processing artificial intelligence (AI) models are now implemented with Automation Anywhere’s advanced robotic process automation (RPA) software platform. Clarfai uses deep learning to transform large amounts of unstructured image, video, and text data into structured data. These models can be customized to give customers the ability to moderate content, extract visual and textual metadata from content, detect logos within imagery, and more.

https://www.clarifai.com

Kitewheel expands journey management platform

Kitewheel announced the integration of a new business intelligence (BI) platform to enhance its data and analytics visualization capabilities. This addition to Kitewheel’s suite of customer journey solutions will provide richer experiences for analytics teams by allowing users to view all their data in one place and enable more efficient journey orchestration. This integration will provide faster time to insights and speed up the journey orchestration timeline. The platform generates user-friendly, comprehensive reports leveraging data from Kitewheel’s Journey Discovery Analytics and Kitewheel Data Model solutions. This self-service model also allows Kitewheel clients to customize data visualizations and report types depending on the insights and level of detail needed. Users will be able to interact with and explore their data, drilling down to extract unique, data-rich findings as well as export and share reports more easily. With multiple dashboards per project and threshold alerts, this new capability offers additional possibilities for enhancing customer journey initiatives.

https://kitewheel.com

Apollo GraphQL launches Development Graphs

Apollo GraphQL announced the general availability of Development Graphs – a free cloud offering that allows developers around the world to access Apollo’s Studio tools, such as Apollo Explorer, with any server. Development Graphs accelerate the benefits of GraphQL by giving developers access to Apollo Studio’s Explorer and Schema tools, without requiring any additional setup in code. These tools provide several benefits to GraphQL developers. They increase developer productivity by providing powerful tools for query writing. They increase the discoverability of what’s in the data graph by providing advanced ways to browse and search GraphQL schema. They increase the general accessibility of the graph to your organization, by making data queryable even to team members who are not developers.

Development Graphs are a convenient tool for connecting local servers or any development environment to Apollo Studio by updating a user’s schema in real-time and providing a private sandbox. The developer tools that comprise Apollo Studio, especially Explorer, a full query writing IDE, simplify the process of building and executing queries against running servers, including a point-and-click interface for exploring schemas and tools that ease and accelerate the process of authoring and running live queries.

https://www.apollographql.com/blog/apollo-studio-a-graphql-ide-for-every-environment/

Cloudflare releases Data Localization Suite

Cloudflare, Inc. released Data Localization Suite to give businesses across the globe tools to address their data locality, privacy, and compliance needs. With Data Localization Suite, businesses can use Cloudflare’s global cloud network to control where their data goes and who has access to it, no matter what countries they operate in, their industry, or their specific data protection obligations. The suite provides businesses of all sizes:

  • Control over where their data is inspected: Companies can choose the location of the data centers where their traffic is inspected, and can use Cloudflare’s Geo Key Manager to choose where private keys are held, and Edge Log Delivery to send their logs anywhere.
  • A way to build and deploy serverless code with regional control: Cloudflare is expanding Workers, its serverless platform, with Jurisdiction Tags for Durable Objects.
  • Alignment with global and European security certifications: Cloudflare meets standards for security and privacy, including ISO 27001/27002, Payment Card Industry Data Security Standards (PCI DSS), and SSAE 18 SOC 2 Type II.
  • Default encryption: Cloudflare’s work developing the Encrypted Client Hello (ECH) protocol standard will help protect the privacy of Internet traffic metadata.

https://blog.cloudflare.com/introducing-the-cloudflare-data-localization-suite/

Dgraph Labs launches Slash Enterprise

Dgraph Labs announced the launch of Slash Enterprise, a serverless solution for enterprises managing workloads with terabytes of data in production that can run on dedicated, multi-zone clusters with high availability deployed on AWS, Azure, or GCP. Designed for mission-critical workloads, and easily deployed to your cloud, Slash Enterprise can scale to billions of records. The Dgraph database that behind Slash Enterprise was inspired by Dgraph Labs founder and CEO Manish Jain’s work at Google on their Knowledge Graph infrastructure, and his efforts to unite all structured data at Google under a single graph indexing and serving system. Dgraph became the first database to natively support GraphQL.

  • Save DevOps resources: Your site reliability is managed by Dgraph Labs but deployed in your cloud. Slash Enterprise includes automatic full and incremental backups, encrypted EBS volumes, 24×7 strict SLA support.
  • Cloud-based solution: Slash Enterprise deploys for you in the cloud – either AWS, Azure or GCP – with full data sovereignty for stricter compliance. Enjoy dedicated machines while you take full advantage of horizontal scalability.
  • High Availability: Access all of your data, all the time. Run your mission-critical projects on dedicated, multi-zone clusters with high availability.

https://dgraph.io/

nVoq announces nVoq.Voice, HIPAA-compliant speech to text technology

nVoq Incorporated announced general availability of nVoq.Voice, its newest offering from the nVoq Platform of medically infused speech recognition solutions. nVoq.Voice is a highly accurate, HIPAA compliant speech-to-text solution that enables clinicians to create a comprehensive patient note in seconds. nVoq.Voice offers clinicians the simplicity they’ve come to enjoy from consumer solutions, coupled with the enterprise-grade security and reliability they need to meet HIPAA and other compliance standards.

https://sayit.nvoq.com

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