Curated for content, computing, and digital experience professionals

Category: Content technology news (Page 2 of 621)

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

Adobe adds Firefly to Adobe Express App

Adobe announced that the all-new Adobe Express mobile app is available to all users, bringing features powered by Adobe Firefly generative AI directly into the hands of content creators. The new Adobe Express mobile app brings Adobe’s photo, design, video and generative AI capabilities into an all-in-one content editor, giving everyone the ability to produce high quality content on web and mobile.

Marketers can create explainer and promotional videos to launch new products or design on-brand social campaigns for multiple social channels. Small business owners can design logos and standout business cards, create digital flyers for online sales, edit photos and videos and schedule and publish content for their TikTok and Instagram channels directly in the app. Creative professionals can bring assets they design in Adobe Illustrator and Adobe Photoshop into Adobe Express and quickly create social posts for their clients’ e-commerce business.

The new Adobe Express mobile app is now available for free worldwide in many languages and on most Android and iOS devices. Android users can download the new Adobe Express mobile app from the Google Play store and iOS users can download it from The App Store. New users can register for an Adobe Express account.

https://news.adobe.com/news/news-details/2024/All-New-Adobe-Express-Mobile-App-with-Firefly-AI-Now-Available-to-Millions-Empowering-them-to-Create-Standout-Content-On-the-Go/default.aspx

NebulaGraph Enterprise v5.0 offers native GQL support

As a member of Linked Data Benchmark Council, Vesoft (NebulaGraph) participates in the formulation and promotion of GQL standards and announced its GQL native support in NebulaGraph Enterprise v5.0.

ISO/IEC released the international standard of Graph Query Language (GQL) on April 12th, 2024. This publication establishes the foundations for property graphs, covering their creation, maintenance, and control, along with the data they comprise. It also standardizes the data management language for outlining and modifying the structure of these graphs and their collections.

GQL standards help to ensure data portability and manipulation across GQL implementations, and compatibility with programming languages and database tools. It will foster a dynamic graph database ecosystem and lower the entry barrier for this technology, enabling more enterprises to effectively utilize graph databases for complex relational data.

Rather than just being compatible or adapted to GQL, NebulaGraph Enterprise v5.0 has been redesigned to support GQL at the overall architecture level: it is built on and designed for GQL for data compatibility and interoperability, thereby amplifying the business value of graph databases across various scenarios. Native support for GQL means that enterprises can directly benefit from enhanced interoperability, improved stability, enhanced security, and more cost-efficient maintenance.

https://www.nebula-graph.io/posts/nebulagraph_enterprise_5.0_gql_supporthttps://www.iso.org/standard/76120.html

ThoughtSpot renames and adds features to ThoughtSpot Everywhere

ThoughtSpot, an AI-powered analytics company, today announced a series of initiatives for developers and product builders to help their customers, partners, and employees with generative AI and embedded natural language search, including a new pricing edition, a Vercel Marketplace listing, support channels, and new courses and certifications. 

ThoughtSpot has renamed the embedded solution, previously known as ThoughtSpot Everywhere to ThoughtSpot Embedded, reflecting ThoughtSpot’s vision to make analytics invisible – seamlessly embedded into every data application and user workflow – and its business outcomes visible. New features and offerings include: 

  • Developer Edition. The new Developer Edition offers developers exploring ThoughtSpot in free trial an opportunity to try ThoughtSpot Embedded capabilities with their specific use case for free for 12 months.  
  • Vercel Marketplace Integration. The new app listing for ThoughtSpot enables developers to quickly embed ThoughtSpot’s AI-powered analytics into their apps via the Vercel Marketplace.
  • Discord Channel. Developers can ask ThoughtSpot Embedded subject matter experts technical questions and receive guidance in our Discord community.
  • New ThoughtSpot Embedded Courses and Certifications. ThoughtSpot University is releasing a new paid certification for ThoughtSpot Embedded, the ThoughtSpot Embedded Developer. The new certification is for developers looking to attain formal recognition of their skills and knowledge in AI-Powered Analytics with ThoughtSpot Embedded.

https://www.thoughtspot.com/press-releases/thoughtspot-makes-embedding-ai-powered-analytics-easy-and-ubiquitous-for-everyone

Expert.ai launches Insight Engine for Life Sciences

Expert.ai, specialists in providing AI-powered language solutions to enterprises, today announced the launch of the expert.ai Insight Engine for Life Sciences.

For the world of drug research and development, data is both a challenge to be managed and an opportunity. The ability to effectively and quickly mine scientific and biomedical content for developing new drugs and to design and operate clinical trials is critical. The complexity of the diverse data sources that researchers depend on makes integrating, standardizing and analyzing them both challenging. Commercial licensing and data access restrictions, as well as the lack of granularity and different taxonomies used by common search tools complicate the process.

Advanced AI technologies provide the capability to mine and aggregate scientific content, synthesize knowledge, extract relevant information & reveal hidden correlations, helping researchers quickly access and analyze a vast amount of relevant information coming from biomedical and scientific literature, including full texts, speeding up the discovery and development of new drugs and therapies. Expert.ai Insight Engine for Life Sciences supports multiple use cases, including competitive intelligence, clinical trial design optimization, intellectual property protection, and research intelligence.

https://www.expert.ai/expert-ai-launches-insight-engine-for-life-sciences/

Progress releases Sitefinity 15.1

Progress, a provider of infrastructure software, announced new capabilities and enhancements in the latest release of Progress Sitefinity. Building on existing AI support throughout the platform, Sitefinity 15.1 introduces AI-powered conversion propensity scoring, AI-powered content classification for faster content editing and improved customer data modeling, enabling higher ROI and productivity. Additionally, new support for ASP.NET Core in .NET 8 provides flexibility to engineering teams, enabling them to develop and deploy using any platform.

  • New AI Propensity Scoring for Conversions: Progress Sitefinity Insight customer data platform (CDP) automatically identifies high/medium/low segments for each conversion, helping to refine audience segmentation and activate users. New Sitefinity Insight features also include streamlined rules management for persona and lead scores, ​additional and enriched data export options, automatic tracking of outbound clicks and improvements to the chatbot-based Insightful Assistant.
  • AI-Assisted Content Classification: Integrated with the rich text editor and available for static content types, dynamic modules and media items, this new tool delivers AI suggestions for classification built upon existing taxonomy and can help hone content performance by increasing discoverability, reusability and relevance.
  • Page Editing Experience Enhancements: The exposed widget toolbox embedded in the new page editor improves page editing and accelerates publishing.

https://investors.progress.com/news-releases/news-release-details/progress-announces-advanced-ai-capabilities-accelerate-delivery

Google enhances Google Workspace

Snippets from the Google Workspace blog…

Today we’re announcing the next wave of enhancements to Google Workspace, starting with Google Vids, our new AI-powered video creation app for work. Vids will sit alongside our other productivity tools like Docs, Sheets, and Slides. Vids is being released to Workspace Labs in June.

We’re also announcing two commercial offers that allow you to bring AI-powered meetings and messaging, as well as AI-powered security, to everyone in your organization, each for $10 per user, per month. In addition, Gemini is coming to Google Chat in preview, giving you an AI-powered teammate to summarize conversations, answer questions, and more. And finally, we’re making it easy for organizations to extend the power of their data and custom AI models by using Vertex AI with Workspace as a platform, enabling next-generation workflows that are built right into Docs, Gmail, and other Workspace apps.

By using Model Garden on Vertex AI, you can choose the right model for your needs from more than 130 options, and the Workspace add-on framework can allow you to bring that custom agent into the productivity apps you use everyday in Workspace, streamlining workflows, and enhancing team collaboration.

https://workspace.google.com/blog/product-announcements/new-generative-ai-and-security-innovations

Adobe introduces Frame.io V4

Adobe introduced the all-new Frame.io V4, a creative collaboration platform that streamlines and simplifies workflows across content creation and production. Frame.io V4 is designed to meet the complex needs of creative teams delivering personalized content by centralizing feedback, helping to reduce rounds of revisions and accelerating the delivery of media assets. The next generation of Frame.io will begin to roll out today in beta for Frame.io Free and Pro customers, and is planned to launch later this year for Team and Enterprise customers. 

With all-new workflow management capabilities, anchored by a dynamic metadata framework and smart folder system called Collections, V4 introduces a cloud-based platform that is customizable and flexible enough to facilitate any creative workflow. File transfer, media asset review and approval, sharing, and presentations have undergone a complete transformation in V4, offering users a platform for their most demanding creative projects.

Frame.io is integrated with Adobe Premiere Pro and Adobe After Effects and will be available in Adobe Photoshop for Creative Cloud Enterprise customers beginning in May, with support for more Creative Cloud tools, customer segments, and integration with Workfront coming later this year.

https://news.adobe.com/news/news-details/2024/Adobe-Introduces-Next-Generation-of-Frame.io-to-Accelerate-Content-Workflow-and-Collaboration-for-Every-Creative-Project/default.aspx

MongoDB expands collaboration with Google Cloud

MongoDB, Inc. announced an expanded collaboration with Google Cloud to make it easier and more cost-effective to build, scale, and deploy generative AI applications using MongoDB Atlas Vector Search and Vertex AI from Google Cloud, along with additional support for data processing with BigQuery. The companies are also collaborating on new industry solutions for retail and manufacturing, with deeper product integrations and solutions to provide a seamless development environment for creating shopping experiences and data-driven applications for smart factories. For workloads that use highly sensitive data, MongoDB Enterprise Advanced (EA) is now available on Google Distributed Cloud (GDC).

  • MongoDB Atlas Search Nodes on Google Cloud provide dedicated infrastructure for generative AI and relevance-based search workloads that use MongoDB Atlas Vector Search and MongoDB Atlas Search.
  • A dedicated Vertex AI extension makes it easier to work with large language models (LLMs) without having to transform data or manage data pipelines between MongoDB Atlas and Google Cloud.
  • Integration of Spark stored procedures with BigQuery improves automation, optimization, and reuse of data processing workflows between BigQuery and MongoDB Atlas for analytics, BI, and end-user applications.

https://www.mongodb.com/press/mongo-db-expands-collaboration-with-google-cloud-at-google-next

« Older posts Newer posts »

© 2024 The Gilbane Advisor

Theme by Anders NorenUp ↑