Curated for content, computing, and digital experience professionals

Category: Content technology news (Page 83 of 624)

Curated information technology news for content technology, computing, and digital experience professionals. News items are edited to remove hype, unhelpful jargon, iffy statements, and quotes, to create a short summary — mostly limited to 200 words — of the important facts with a link back to a useful source for more information. News items are published using the date of the original source here and in our weekly email newsletter.

We focus on product news, but also include selected company news such as mergers and acquisitions and meaningful partnerships. All news items are edited by one of our analysts under the NewsShark byline.  See our Editorial Policy.

Note that we also publish news on X/Twitter. Follow us  @gilbane

Microsoft introduces Microsoft Mesh

At their Ignite conference Microsoft introduced Microsoft Mesh, a new mixed-reality platform powered by Azure that allows people in different physical locations to join collaborative and shared holographic experiences on many kinds of devices. Microsoft Mesh will also enable geographically distributed teams to have more collaborative meetings, conduct virtual design sessions, assist others, learn together and host virtual social meetups. People will initially be able to express themselves as avatars in these shared virtual experiences and over time use holoportation to project themselves as their most lifelike, photorealistic selves, the company said.

With Microsoft Mesh-enabled applications, designers or engineers who work with 3D physical models — anything from bicycles to high-end furniture to jet engines to new sports stadiums — could appear as themselves in a shared virtual space to collaborate and iterate on holographic models, regardless of their physical location.

At Ignite, Microsoft also announced two apps built on the Microsoft Mesh platform. Those include a preview of the Microsoft Mesh app for HoloLens, which allows team members to remotely collaborate and is available for download. Customers can also request access to a new version of Mesh-enabled AltspaceVR, which will allow companies to hold meetings and work gatherings in virtual reality with enterprise-grade security features including secure sign-ins, session management and privacy compliance.

https://news.microsoft.com/innovation-stories/microsoft-mesh/

OneTrust acquires DocuVision’s Redacted.ai

OneTrust announced the acquisition of DocuVision Inc. and its Redacted.ai solution to expand OneTrust automated data redaction capabilities. The combined technology, OneTrust Data Redaction, is available now and helps privacy, legal, and information security teams find, redact, and protect sensitive and personal information in documents and emails. OneTrust Data Redaction, integrated into the OneTrust privacy, security, and data governance platform, is a complete automated data subject rights (DSAR) workflow including intake, ID verification, discovery, redaction, and secure response.

Many privacy laws give individuals the right to make requests about their data, such as the right to access under the GDPR and CCPA. Organizations must redact other’s personal information and sensitive corporate information before providing the requested information to the requestor. The combination of OneTrust Data Redaction and OneTrust’s DSAR Automation technology integrates advanced data redaction to automate the DSAR process with deep data discovery, redaction, ID verification, and secure communication technologies. 

In addition to DSAR automation, OneTrust Data Redaction brings enterprise data redaction capabilities into the OneTrust platform to support use cases such as litigation or M&A disclosures and Freedom of Information Act (FOIA) requests. Vendors, such as file storage systems, virtual data room companies, eDiscovery products, and case management solutions, can also partner with Redacted.ai to add intelligent redaction capabilities into their offering.

https://onetrust.com/

Cloudera releases Cloud-Native Operational Database

Cloudera, an enterprise data cloud company, announced the availability of the Cloudera Data Platform (CDP) Operational Database on both Amazon Web Services (AWS) and Microsoft Azure. CDP Operational Database is a fully managed cloud-native operational database with scale, performance, and reliability. Optimized to be deployed anywhere, on any cloud platform, CDP Operational Database aligns with the cloud infrastructure strategy best suited for the business. 

CDP Operational Database works across public and private cloud environments, including on-premises. It enables application developers to deliver prototypes in under an hour on their choice of cloud, with the power to easily scale to petabytes of data. Application developers can deliver mission-critical applications with speed because CDP Operational Database auto-scales, auto-heals and auto-tunes based on workload needs. CDP Operational Database is now generally available on AWS and Azure.

http://www.cloudera.com

Contentstack partners with Uniform to deliver personalized sites

Contentstack announced Uniform has joined its Catalysts partner program. Contentstack’s Catalysts program is an ecosystem of technology and service providers to accelerate digital experience innovation. Uniform will offer Contentstack users a MACH-enabled platform to help enterprise organizations create fast personalized sites that engage their customers. Uniform brings the personalization features of a Digital Experience Platform (DXP) to Jamstack applications. By connecting modern developer tools and edge-based personalization to MACH technologies, Uniform enables instant, global scaling, reduced cost, and faster time-to-market without requiring expensive, time-consuming re-platforming. 

Contentstack’s content management capabilities combined with Uniform’s headless personalization helps enterprises satisfy IT priorities, such as time-to-market and modern development frameworks, as well as marketing priorities, such as compelling content and personalized experiences based on real-time intent. Catalysts work with partners to drive market visibility, manage growth opportunities and deliver transformational customer success. Contentstack provides Catalysts with the a CMS integration framework and the ability to build new integrations to meet customer needs. Catalysts advance the use of a microservices-based, API-first, cloud-native SaaS, headless (MACH) architecture, technology, practices and a methodology for digital omnichannel engagement.

https://www.contentstack.com

Oro unveils OroCommerce 4.2

Oro Inc. announced the release of OroCommerce 4.2., the open-source eCommerce solution purpose-built for B2B companies. Key upgrades include a revamped shopping list interface allowing B2B buyers to compile, review, and place large orders with complex configurations. The streamlined ordering and checkout process also boosts back-office efficiency and productivity for manufacturers and distributors, allowing staff to quickly respond to RFQs and manage customer orders. OroCommerce 4.2 is also faster, with gains in browser loading and processing speeds.

Content editing and previewing upgrades include the ability to maintain multiple websites under a single OroCommerce instance and preview changes for specific store sites. The new preview function also offers localized and personalized websites aimed at customer groups by geography or individual consumers. Other new features include an OroCommerce storefront with compliance with web accessibility requirements (ADA and WCAG). Text elements are more readable and buttons more intuitive to use, and storefronts include support for voice readers and keyboard navigation.

Finally, new OroCommerce API resources make it simpler for developers to test applications, with performance optimized for new authentication options and improved integration connectors performance. Dev teams can also look forward to increased stability.

https://oroinc.com/b2b-ecommerce/

DataStax releases Astra Serverless

DataStax announced the general availability of Astra serverless, an open, multi-cloud serverless database-as-a-service (DBaaS). DataStax’s Astra will deliver pay-as-you-go data together with multi-cloud and open source. DataStax Astra builds upon the Apache Cassandra open source database and introduces a modern, microservices-based architecture that separates compute from storage, enabling database resources to scale up and down on demand to match application requirements and traffic independent of compute resources.

While serverless compute has been around for a while, serverless data has lagged due to the technical challenges around separating compute and storage. Scaling a database typically requires the addition of more server nodes in order to handle more demand or to store more data, which, in turn, requires that the entire data set is “rebalanced” across the nodes to keep the ratio of storage and computing capability equal. With the introduction of Astra serverless, developers will only pay for what they use, no matter how many database clusters they create and deploy. This flexibility brings faster application development and streamlined operations by letting developers and IT create as many databases as they need for development, testing, staging, or any other purpose.

https://www.datastax.com/astradb/serverless

Google Cloud and MongoDB expand partnership

MongoDB, Inc. and Google Cloud announced an expanded five-year partnership that will extend their existing go-to-market relationship and provide a deeper integration of Google Cloud products with MongoDB’s global cloud database, MongoDB Atlas. As a fully-managed service directly integrated with the Google Cloud Console and Marketplace, MongoDB Atlas gives joint customers integrated billing and support. Customers get a single bill for all Google Cloud services as well as MongoDB Atlas, and can use their Google Cloud spending commitments toward Atlas. The service is now available as a “pay as you go” offering on the Google Cloud Marketplace.

With this expanded partnership, MongoDB is enabling developers to integrate Atlas with Google Cloud products, including Pub/Sub, BigQuery, Dataproc, Dataflow, Cloud Run, App Engine, Cloud Functions, Google Kubernetes Engine (GKE), and Tensorflow. Additionally, Google Cloud’s mainframe modernization solutions now support MongoDB Atlas and help customers convert legacy COBOL code on mainframes into modern Java-based applications built on MongoDB. Together, G4 and MongoDB Atlas accelerate the modernization and migration process for organizations moving their business-critical workloads to the cloud.

http://mongodb.com

dotData launches dotData Cloud for BI

dotData, provider of data science automation and operationalization for the enterprise, announced dotData Cloud, AI-automation software platform and services designed to provide business intelligence (BI) teams with the ability to automate AI/ML development. The solution was developed specifically to support growing enterprise organizations with small or no data science teams who want to launch or accelerate their data science practice. dotData Cloud is currently available as an all-inclusive bundle that includes technology and support to assist organizations in developing and deploying their first model, with a 45-day, risk-free, no-money guarantee.

dotData’s AI-powered feature engineering automatically discovers, evaluates and features by transforming hundreds of tables with complex relationships and billions of rows into a single feature table, automating the most manual data science projects that are fundamental to developing predictive analytics solutions. It also democratizes data science by enabling BI developers and data engineers to make enterprise data science scalable and sustainable. dotData is also designed to operationalize AI/ML models by producing both feature and ML scoring pipelines in production, which IT teams can then quickly integrate with business workflows. With the dotData GUI, AI/ML development becomes a five-minute operation, requiring neither significant data science experience nor SQL/Python/R coding.

https://dotdata.com

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