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Category: Computing & data (Page 43 of 92)

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.

Webscale launches CloudEDGE PWA

Webscale, a cloud platform for commerce, launched CloudEDGE PWA, a progressive web application (PWA) delivery solution. CloudEDGE PWA supports frontend delivery for any commerce platform backend, including Adobe/Magento, Shopify, Hybris, Salesforce Commerce Cloud or BigCommerce, and facilitates the delivery of enterprise, custom or open-source PWA frameworks. Webscale brings enterprise PWA cloud delivery to stores of any size, on any platform globally, with speed, scalability, security, and programmability. PWAs combine traditional website functionalities with the best mobile app features to help brands reach new customers.

Webscale’s CloudEDGE PWA enables the rapid deployment and delivery of any PWA framework, from within the CloudEDGE content delivery network (CDN), optimized for fast performance across any device type, without additional infrastructure. PWAs are deployed close to the user, within the network’s edge, and can connect to the origin across self- and fully-hosted ecommerce platforms, microservices or packaged business capabilities.

Ecommerce merchants, as well as their developers and agencies can quickly launch their own PWA-enabled stores on any ecommerce platform or deployment model. Dynamic CloudEDGE PWA API controls and included image handling functions minimize load time, with intelligent full-page caching and higher Core Web Vitals as a result.

https://www.webscale.com/product/webscale-cloudedge-pwa/

Franz’s Gruff 8.1 brings visual knowledge graphs to web applications

Franz Inc., supplier of graph database technology for entity-event knowledge graph solutions, announced Gruff 8.1, a knowledge graph visualization software tool that can be embedded in any web page or web application. Users can now visually build queries and visualize connections between enterprise data directly within a web page or web application, enabling a simple and seamless knowledge discovery experience.

Gruff, available as a browser-based application or pre-integrated into AllegroGraph, is a no-code visual query application that enables users to create visual Knowledge Graphs that display data relationships in views driven by the user. Gruff’s visual query builder empowers both novice and expert users to create simple to complex queries without writing code. The ‘Time Machine’ function within Gruff gives users the capability to explore temporal context and connections within data. Visualizations can be customized to fit a specific user experience, data relationships, or business requirements.

Special dialogs appear in Gruff 8.1 when saving or loading a SPARQL query, graphical query, or layout. The dialog shows descriptive information about each file and allows the user to filter the list of choices in various ways to make it easier to locate the desired file.

https://allegrograph.com/products/gruff/

Cambridge Semantics updates Anzo

Cambridge Semantics announced a release of their knowledge graph platform, Anzo 5.3 to make it faster to create knowledge graphs with new codeless capabilities centered around discovering, analyzing, and connecting your enterprise data. In addition, the 5.3 release gives users an array of capabilities centered around increasing the speed and ease of data onboarding, as well as enhancements for workflow management and migration.

Direct Data Loading (DDL) enables users to create knowledge graphs directly from relational and semi-structured data sources. Customers can build knowledge graphs directly from data sources like HTTP API, RDBMS, Parquet files, and JSON files, and was designed to be flexible with use cases via no-code, low-code, and developer interfaces. Direct Data Loading is currently in Preview mode.

The new Migration Packages automate migration via a command-line interface. Packages are organized by artifact types (ontologies, datasets, graphmart, etc.) to make it easy to manage with Git. File source incremental ingestion is a no-code capability that enables loading only new files that were created/modified since the last ingestion. The Data Profiling capability enables users to perform no-code data quality control and data discover.

https://blog.cambridgesemantics.com/introducing-anzo-5.3-further-enhancing-the-leading-knowledge-graph-platform

Newgen Software to acquire Number Theory

Newgen Software, a provider of a unified digital transformation platform, is pleased to announce that it is acquiring India-based Number Theory, an AI/ML (artificial intelligence and machine learning) data science platform company, subject to the completion of conditions as stated in the approved Share Purchase Agreement. Number Theory’s platform, AI Studio, brings intuitive AI/ML to every enterprise, while unifying the entire lifecycle of data engineering, from data preparation to model development and monitoring. It empowers both citizen and expert data scientists to work faster and more efficiently, thereby helping in accomplishing key machine learning tasks in just hours or days, not months. This acquisition is meant to strengthen Newgen’s low code digital transformation platform, NewgenONE, with AI/ML modeling and data analytics capabilities.

https://newgensoft.com/newgen-acquisition-of-number-theory/

Progress updates Telerik and Progress Kendo UI

Progress announced the R1 2022 release of Progress Telerik and Progress Kendo UI, .NET and JavaScript UI libraries for app development. With the latest Developer Tools release, Progress is delivering new UI components and advanced features for .NET and JavaScript with its native UI component suites for Blazor, Angular and React. The release also includes REPL Playgrounds for Blazor and ASP.NET Core enabling developers to write, run, save and share code snippets in the browser, and support for .NET 6 and Visual Studio 2022 across all Telerik UI tools. In addition, Progress is simplifying the collaboration between developers and designers by expanding its design kits for Figma with new components, and adding theme improvements to its .NET and JavaScript libraries.

Progress also released enhancements and new components for .NET web, mobile and desktop development across its UI libraries, reporting, testing and mocking tools, including Telerik UI for ASP.NET MVC, Telerik UI for ASP.NET Core, Telerik UI for ASP.NET AJAX, Telerik UI for Xamarin, Telerik UI for WPF, Telerik UI for WinForms, Telerik Reporting, Telerik JustMock and Telerik Test Studio Dev Edition. The Telerik and Kendo UI R1 2022 release is available today.

https://www.telerik.com/support/whats-new

Acquia adds retail machine learning models to CDP

Acquia announced advanced retail machine learning models for Acquia Customer Data Platform (CDP), designed to increase customer lifetime value. Among these is a new “market basket” model to drive digital commerce conversions by intelligently bundling relevant products, to help retailers to better understand the behavior of their customers. The market basket model for Acquia CDP is an analytics solution that helps retailers effectively pair products, price packages and gain a deeper understanding of their customers’ buying preferences. This model works by identifying correlations between items frequently purchased together to make smarter recommendations to end customers.

https://www.acquia.com/newsroom/press-releases/acquia-introduces-retail-machine-learning-models-increase-customer-lifetime

AWS joins MACH Alliance

MACH Alliance, a group of independent tech companies dedicated to advocating for open, best-of-breed technology ecosystems, announced today that Amazon Web Services (AWS) has joined as an Enabler member.

MACH Alliance announced in December its new Enabler membership category, which was created for companies that are utilized by MACH organizations to deliver a service or technology but they themselves do not offer a direct MACH solution. They are, therefore, enabling a MACH provider but don’t offer a direct MACH solution. A MACH architecture, which stands for Microservices, API-first, Cloud native and Headless (MACH), gives companies a deeper level of agility, allowing them to deliver new features to their customers at speed. This architecture has spread from e-commerce to store systems and is now changing the way enterprise software is developed and utilized across virtually every industry, not just commerce.

https://machalliance.org/insights/aws-joins-mach-alliance

Databricks launches Data Lakehouse for Retail

Databricks announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve data challenges that retailers, partners, and their suppliers are facing.

Databricks’ Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of tools and partners. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and practices to save development time for data engineers and data scientists. Solution accelerators include:

  • Real-time Streaming Data Ingestion: with point-of-sale, mobile application, inventory and fulfillment data.
  • Demand forecasting and time-series forecasting: with fine-grained demand forecasting to predict demand for items and stores.
  • ML-powered recommendation engines: specific recommendations models including neural network, collaborative filtering, content-based recommendations. 
  • Customer Lifetime Value: predict behaviors of churn, and segment consumers with customer analytics accelerators to help improve decisions on product development and promotions.

Databricks partners like Deloitte and Tredence are delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases.

https://databricks.com/solutions/industries/retail-industry-solutions

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