Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 65 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.

MongoDB releases MongoDB Cloud platform 4.4 with Atlas Data Lake, Search, and MongoDB Realm

MongoDB, Inc. announced a series of products that comprise the MongoDB Cloud platform that give developers a better way to work with data, wherever it resides. The launch of MongoDB 4.4, general availability of Atlas Data Lake and Atlas Search, and the general availability of MongoDB Realm offers organizations an escape from data silos and fragmented APIs as MongoDB Cloud delivers a developer-optimized, cloud-to-mobile platform. With MongoDB’s document data model, developers can structure data any way the application requires – from rich, hierarchical objects to simple key-value pairs and tables to connected graphs – and then query it with a single API. This gives developers a consistent and productive experience across the broadest set of workloads.

The addition of Atlas Data Lake and Atlas Search to the MongoDB Cloud platform simplifies modern data infrastructure, extends applications with rich search experiences and unlocks analytics for data archived in a data lake. Using the same MongoDB Query Language (MQL) and data model, with Atlas Data Lake a user can run a query and have the data brought back to them: whether it is real-time transactional data in the global Atlas global cloud database or a relevance-based search query with Atlas Search or a long-running analytical query on data in object storage. Using MongoDB Cloud, developers no longer need to deal with the cognitive burden of flipping back and forth between multiple technologies, query languages and data models. MongoDB’s Realm Sync enables bi-directional data synchronization between Realm’s mobile client on the front end and Atlas on the backend. This allows for data to be seamlessly shared between devices and with the backing database without complex conflict resolution and integration code.

https://www.mongodb.com

SDL provides machine translation to Reynen Court legal technology platform

SDL announced its machine translation (MT) technology is now available through the Reynen Court LLC platform, enabling legal firms and departments to provision and deploy SDL Machine Translation to securely translate any type of legal document or file. The Reynen Court platform combines a content-rich solution store and a control panel that simplifies the process for law firms and legal departments to source, evaluate, deploy, monitor and manage legal technology applications. Platform users can employ a multicloud technology strategy that includes on-premises data centers and virtual private clouds under the platform user’s control without compromising informational security, environmental stability, and infrastructure control. The platform also allows users to manage software subscriptions and evaluate usage and consumption metrics from across its tech stack in one place, permitting them to optimize technological investment through the deployment of legal technology. Reynen Court was established with support from a consortium of 19 leading global law firms. The latest version of SDL Machine Translation goes beyond automatic translation and integrates with multiple platforms to power digital customer experience, eDiscovery, due diligence, contract review, analytics, internal communications and collaboration.

https://www.sdl.com, https://reynencourt.com

Webiny launches serverless headless CMS

Webiny announced the availability of Webiny Serverless Headless CMS (beta). When you look at the headless CMS market there are several options you can choose from, but none of the options are both serverless and open-source at the same time. Half of them run on “traditional” infrastructures, like virtual machines, and the other half is made of standard SaaS products. The goal was to build something that scales to handle huge amounts of traffic out of the box, no matter how spikey, with a solution that is customizable and has zero overhead when it comes to managing infrastructure. Today, this is only achievable with serverless infrastructure.

Included in the package:

  • Content modeling interface — You can not only model your content, but also build the interface for how the input forms will look like to your content editors. Place form inputs inside a grid layout and split it into multiple columns and rows.
  • Content localization — A simple and intuitive way to input and serve content in multiple languages. We keep the interface for editors clean and easy to use, no matter if you have 1 language or 20 languages.
  • GraphQL API — The API is at the core of every headless CMS. If you get the API wrong, the whole product has a poor experience. This is why we spent a significant part of our effort on ensuring developers have a great experience using our API. The API also comes with a built-in GraphQL playground, so it’s super simple to inspect your schema and test your queries.
  • Environments and aliases — With a single click copy your existing data into a new environment. Modify it and update it without affecting your production site. Finally, remap the alias to switch the new environment into production. With this approach, you get instant rollback feature as well as there is no need to update and redeploy your code to any of your devices when you make changes.
  • Customizable and extendable platform with a microservices architecture — Having a headless CMS is great, but what if it only gets you halfway? What if you need to build custom code, add logic with specific rules that are outside the scope of the headless CMS. Using the Serverless Web Development Framework you can build any type of logic your project requires and deploy it alongside the headless CMS as a separate microservice.

https://www.webiny.com

 

Xero partners with Coveo to power its app marketplace for small business

Xero, the global small business platform, has announced the release of new search functionality on Xero’s app marketplace. With more than 800 third party apps that connect to the platform, Xero’s app marketplace now serves up suggestions based on a small business’ profile when they are logged into Xero and an improved search toolbar presents popular apps and quick links, providing a more personalized, intuitive, and efficient experience. The new search functionality is powered by Coveo’s recommendations engine, using machine learning to serve up app suggestions based on a small business’ profile when they are logged into Xero.

https://www.coveo.com/, https://www.xero.com/

Newgen unveils new AI and ML-based Document Classification Service

Newgen Software, a global provider of low code digital automation platform for managing content, processes, and communication, announced it has launched an enhanced version of its document classification service for enabling the high-volume document-handling environment. Intelligent Document Classifier 1.0 allows users to gain hidden insights by classifying documents, based on structural features and/or textual features. It uses machine learning (ML) and artificial intelligence (AI), to enable layout- and content-based document classification. Organizations can leverage the solution to automatically classify various documents such as sales/purchase orders, enrollment and claim forms, legal documents, mailroom documents, contracts, correspondences, and others. This helps ensure important information is available thereby reducing risks and costs associated with manual document management.

Key features  include:

  • Image Classification – Allows users to automatically classify images using neural networks and deep learning algorithms based on structural features
  • Content Classification – Enables document classification based on content, in the absence of structural features
  • Trainable Machine Learning – Auto-learns definitions and features of a document class and creates a trained model
  • Admin Dashboard – Generates analytics reports for a 360-degree view of the process
  • Integration Capabilities – Facilitates easy integration with core business applications, content management platforms, and document capture applications

https://newgensoft.com/

AWS and Slack join forces targeting enterprise workplace

Amazon Web Services and Slack Technologies announced a new multi-year agreement to deliver solutions for enterprise workforce collaboration. Slack and AWS will strategically partner to help distributed development teams communicate and become more efficient and agile in managing their AWS resources from inside Slack. Slack will migrate its Slack Calls capability for all voice and video calling to Amazon Chime, AWS’s communications service that lets users meet, chat, and place business calls. Slack is also leveraging AWS’s global infrastructure to support enterprise customers’ adoption of its platform and to offer them data residency – the ability to choose which country or region their data is stored at rest in while fulfilling compliance requirements. Slack continues to rely on AWS as its preferred cloud provider and will use a range of AWS services, including storage, compute, database, security, analytics, and machine learning, to develop new collaboration features. Additionally, AWS has agreed to use Slack to simplify the way teams at AWS communicate and work together.

Slack and AWS will also extend product integration and deepen interoperability. These integrations include:

  • Amazon Chime infrastructure with Slack Calls
  • AWS Key Management Service with Slack Enterprise Key Management (EKM)
  • AWS Chatbot integration with Slack
  • Amazon AppFlow integration with Slack

https://aws.amazon.com, https://slack.com

Atlassian launches new DevOps features

Atlassian announced 12 new collaboration features, automations and integrations in order to help developers take their time back and ship better code, faster. There are too many disconnected tools, manual processes, and constantly changing collaboration practices are blocking developers from reaching the full promise of DevOps. Developers need less context switching. Fewer meetings. Fewer pings from IT about security incidents. Just more time to code and deliver value to customers. The goal is to help developers focus on their code with connected development, IT operations, and business teams with automation that spans Atlassian products and third-party tools. With Jira as the backbone and ultimate source of truth, Atlassian unifies all of DevOps work to reduce collaboration overload. There are deep integrations between Jira Software Cloud and Bitbucket Cloud, GitHub, and GitLab so that issue tracking and project updates happen right where you code, automatically. No need to go back to Jira. And your project manager won’t have to ping you for updates and interrupt your coding flow, because your project board will automatically update based on your work in Bitbucket, GitHub, or GitLab.

https://www.atlassian.com

SDL partners with DRUID for multilingual chatbot conversations

SDL announced it entered into a technical partnership with DRUID, specialists in conversational AI, to launch multi-lingual virtual assistants for enterprise organizations that enable real-time communication through chatbots. By integrating SDL Machine Translation with DRUID virtual assistants, companies will be able to conduct chatbot conversations in different languages with employees, customers, partners and suppliers. The solution offers a real-time “interpreter mode” function, which can translate conversations along with “live chat” which can translate into multiple languages. 

Chatbots are commonly configured to undergo complicated question-and-answering activities in different languages, but language-specific customization can be complex, time-consuming and costly. The issue becomes even more complex when a chatbot is connected to various data sources (ERP, CRM, BI, HRIS, or other types of business applications). With SDL Machine Translation, chatbots can converse in multiple languages without the need to translate data sources or conversational flows.

SDL Machine Translation provides the neural machine (NMT2.0) foundationand the combined solution includes the ability to control brand voice with a brand-specific terminology dictionary that contains company-specific product names and unique terminology. This is machine learning solution uses anonymized chat logs for continuous language model improvement.

https://sdl.com, https://www.druidai.com

« Older posts Newer posts »

© 2024 The Gilbane Advisor

Theme by Anders NorenUp ↑