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Category: Computing & data (Page 50 of 80)

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.

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

Adoreboard adds emotion AI to Qualtrics XM marketplace

Human Experience (HX) insight platform Adoreboard has announced an integration with Qualtrics XM Platform providing employee and customer experience professionals with automatic Decision Ready Insights from text analytics software Emotics. The solution enables organisations using Qualtrics XM Platform to upgrade their analytics from sentiment to advanced Emotion AI to understand the drivers of emotional intensity from employees or customers feedback automatically discovered in survey comments.

https://adoreboard.com/qualtrics

Nutanix extends storage services to hybrid cloud platform

Nutanix announced new hybrid cloud capabilities for its unstructured data storage offerings, Objects and Files. Nutanix customers can now deploy a storage fabric across their different cloud environments to simplify data management and manage costs, helping IT teams move closer to a hybrid cloud operating model. These storage-focused enhancements build on the recent launch of Nutanix Clusters, which supports Nutanix’s hyperconverged infrastructure software running in AWS and, in the future, Microsoft Azure. New features:

  • Cloud Tiering for Objects Storage: Nutanix Objects can now deliver tiering of object data to an S3-compatible object store, including cloud storage such as AWS S3. Customers can use any S3-compatible target as a tier to Nutanix Objects.
  • Hybrid Cloud File Storage: Nutanix Files is now generally available to run in public clouds through Nutanix Clusters. Nutanix Files now delivers a unified experience, along with single-pane management, across cloud deployment modes, spanning the edge, remote offices, and core data centers, and public cloud.
  • Simplified Disaster Recovery: Nutanix Objects and Files now deliver improved recovery point objective (RPO) so data is always available across datacenters and clouds in the event of a disaster.

https://www.nutanix.com

Blue Prism intelligent automation now in AWS Marketplace

Blue Prism announced the availability of Blue Prism intelligent automation software in AWS Marketplace, giving Amazon Web Services (AWS) and Blue Prism customers another avenue for automation in the cloud. The listing includes Blue Prism on an Amazon Machine Image (AMI) instance with a set number of digital workers, plus connectors for Amazon Textract, Amazon Rekognition, and Amazon Comprehend machine learning capabilities. The Blue Prism offering in AWS Marketplace gives customers an easy way to purchase digital worker licenses and start automating faster via AWS. It includes:

  • Blue Prism Enterprise license for either 1, 3, or 5 digital workers for one year, plus the ability to add more as needed. Digital workers come equipped with embedded AWS machine learning capabilities, including:
    • Amazon Comprehend: A natural language processing (NLP) service that uses machine learning to find insights and relationships in text.
    • Amazon Rekognition: A service that makes it easy to add image and video analysis to users’ applications using proven, scalable, deep learning technology that requires no machine learning expertise to use.
    • Amazon Textract: A managed machine learning service that automatically extracts printed text, handwriting, and other data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables.
  • Access to resources, tutorials, and training materials that demonstrate work queues and possible automations. Users just need an AWS account to get started.

https://www.blueprism.com

Semantic analysis (machine learning)

In machine learning, semantic analysis of a corpus is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. Latent semantic analysis (sometimes latent semantic indexing), is a class of techniques where documents are represented as vectors in term space. A prominent example is PLSI. Latent Dirichlet allocation involves attributing document terms to topics.

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