Curated for content, computing, and digital experience professionals

Category: Content technology news (Page 1 of 627)

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

MongoDB releases MongoDB 8.0

MongoDB, Inc. released MongoDB 8.0, providing performance improvements, reduced scaling costs, and additional scalability, resilience, and data security capabilities. MongoDB 8.0 is available on AWS, Google Cloud, and Microsoft Azure through MongoDB Atlas, on MongoDB Enterprise Advanced for on-premises and hybrid deployments, and as a free download with MongoDB Community Edition. Capabilities: 

  • Optimized performance for a wide variety of applications. 
    Architectural optimizations reduced memory usage and query times, has more efficient batch processing capabilities, and handles higher volumes of time series data.
  • Encryption that unlocks new use cases.
  • Queryable Encryption allows customers to encrypt sensitive application data, store it securely and run expressive queries on the encrypted data for processing.
  • Faster horizontal scaling for high availability.
  • Sharding improvements in MongoDB 8.0 distribute data across shards faster without the need for additional configuration. 
  • Resilience for unexpected application demand. 
  • The ability to set a default maximum time limit for running queries, to reject recurring types of problematic queries, and to set query settings to persist through events like database restarts. 
  • Reduced costs and increased scale for vector applications.
  • With vector quantization, customers can build a wide range of search and AI applications at higher scale and lower cost.

https://www.mongodb.com/products/updates/version-release

Movable Ink adds Da Vinci to Adobe Experience Cloud integrations

Movable Ink announced the integration of Movable Ink Da Vinci and Adobe Journey Optimizer. This adds to existing Movable Ink built integrations into Adobe Experience Cloud applications, including Adobe Target, Adobe Commerce, Adobe Real-Time CDP, and Adobe Campaign.

The new integration of Movable Ink Da Vinci, an AI-powered content personalization solution, and Adobe Journey Optimizer accelerates the creation of custom marketing content for high-volume campaigns. When orchestrating customer journeys in Adobe Journey Optimizer, joint customers can leverage their enterprise-specific data and campaign assets to inform the intelligent assembly and personalization of email templates and content variations unique to each subscriber. Customers can then bring those assets into Adobe Journey Optimizer to further personalize, optimize, and deploy their email marketing campaigns. This builds on existing integrations between Movable Ink Da Vinci and Adobe Campaign, which aims to maximize customer engagement for large-scale campaigns and reach dormant subscribers.

Movable Ink has also built existing integrations between Adobe and Movable Ink Studio – an open-time, in-the-moment content-generation solution. In Movable Ink Studio, brands can leverage insights from applications like Adobe Real-Time CDP, Commerce, and Target to generate personalized content for email and mobile messages.

https://movableink.com/adobe-and-movable-ink

Magnolia integrates Magnolia DXP with Veeva Vault PromoMats

Magnolia announced a new connector to integrate compliant content in Veeva Vault PromoMats with the Magnolia Digital Experience Platform (DXP). The connector allows marketing teams to create and edit healthcare professional (HCP) portals, brand sites, and patient portals in the Magnolia DXP using medical, legal, and regulatory (MLR) approved assets from Vault PromoMats. Mutual life sciences customers can streamline content management and deliver compliant promotional materials faster across channels.

The Magnolia DXP integrates DAM, CMS, CDP, CRM, and analytics systems to consolidate a commercial organization’s digital ecosystem onto a single interface. Marketing teams use their preferred systems, while giving biopharma companies a common way to create digital content and experiences across brands. The Magnolia connector unifies authoring in the Magnolia DXP and simplifies content reuse, claims management, and publishing in different portals and websites.

With the Magnolia DXP configured with Veeva login credentials, marketers can access MLR-approved product claims, images, text, and modular assets in Vault PromoMats from Magnolia for smoother content authoring and publishing on multiple channels. Vault PromoMats remains the single source of truth, updates are made in real time so that portals, sites, and applications built in Magnolia always display the latest compliant content.

https://www.magnolia-cms.com

Optimizely to acquire NetSpring

Optimizely, a digital experience platform (DXP) provider and experimentation platform, announced it has signed a definitive agreement to acquire the warehouse native analytics platform NetSpring. With this acquisition, Optimizely’s DXP will provide “warehouse native” analytics, enabling customers to tie experimentation and other digital experience activities to business metrics and outcomes that resides in customers’ data warehouses. Experimentation teams can also apply Optimizely’s Stats Engine and advanced analysis to data inside a customer’s data warehouse to gain access to visualization capabilities. Based on the technology that NetSpring provides, all of this can happen without extracting data out of cloud data warehouses such as Snowflake, Databricks, Google BigQuery or Amazon Redshift, which maximizes speed, minimizes cost and protects customer data privacy. The new capabilities will also serve as the future analytics platform across all of Optimizely One, an operating system for marketers.

Founded in 2019 by the same team as Business Intelligence (BI) company ThoughtSpot, NetSpring is an advanced platform in the warehouse native analytics space. With a proven product and large enterprise deployments, NetSpring will quickly complement Optimizely’s offerings, starting with experimentation. The transaction, which is expected to be completed in the fourth quarter of 2024, is subject to customary closing conditions.

https://www.optimizely.com/netspring

Ai2 launches family of open multimodal models

The Allen Institute for AI (Ai2) announced the launch of Molmo, a family of state-of-the-art multimodal models. This family includes our best Molmo model, closing the gap between close and open models, an open, efficient, and powerful multimodal model. Currently, most advanced multimodal models can perceive the world and communicate with us, Molmo goes beyond that to enable one to act in their worlds, unlocking a new generation of capabilities, from sophisticated web agents to robotics:

  • Exceptional image understanding: Molmo can accurately understand a wide range of visual data, from everyday objects and signs to complex charts, messy whiteboards, clocks, and menus.
  • Actionable insights: To bridge the gap between perception and action, Molmo models can point to what they perceive, empowering capabilities that require spatial knowledge. Molmo can point to UI elements on the screen, enabling developers to build web agents or robots that can navigate complex interactions on screen and within the real-world.

Molmo was designed and built in the open and Ai2 will be releasing all model weights, captioning and fine-tuning data, and source code. Select model weights, inference code, and demo are available, providing open access to enable continued research and innovation in the AI community.

https://molmo.allenai.org/blog

Contentstack adds visual building capabilities to CMS

Contentstack, a composable digital experience platform (DXP) and Enterprise Headless CMS, announced native visual building capabilities to its platform. Visual Builder’s experience-building capabilities accelerate workflows for marketers. Marketers can now see their work, present and future, in a headless environment. With Contentstack, teams can now natively visualize:

  • Composability across vendors (e.g. pulling content from a DAM + CMS)
  • Personalization and audience impersonation
  • Generative AI authoring
  • Future iterations of their digital properties

As more organizations adopt Headless CMS technology and composable architectures to support the demands of modern marketing, the need for business users to be able to visualize their work has steadily increased. Digital experience creation moved to the back end, leading to complicated planning and trial-and-error processes. Contentstack’s Visual Builder offers a full set of tools for users to create and see their work in real time, across any persona.

Developers and designers will also be able to build components and layouts with drag-and-drop functionality, maintaining firm guardrails around how a content author’s work will look.

https://www.contentstack.com/platforms/visual-building

Salesforce to acquire Zoomin

Salesforce has signed an agreement to acquire Zoomin, a data management provider for unstructured data. Salesforce Data Cloud, with Zoomin’s capabilities, will accelerate the unlocking of unstructured data to power AI agents, making them more personalized and context-aware in every customer interaction. With this, Salesforce’s Agentforce will gain new levels of intelligence, enabling customers to build AI that provides real-time, data-informed responses and actions tailored to individual customer needs. The acquisition is expected to close in the fourth quarter of Salesforce’s fiscal year 2025, subject to customary closing conditions.

With Zoomin augmenting Data Cloud, Salesforce can power new use cases for customers across multiple customer touch points. As an example, Service Cloud customers will be able to leverage enterprise knowledge to automate service interactions and improve Agentforce assistance for service representatives. By leveraging enterprise knowledge, service teams will enable humans to work with agents to achieve faster resolutions, higher customer satisfaction, and lower operational costs. Knowledge is crucial for customer success, and because knowledge is distributed, Zoomin enables the integration of unstructured data from various sources, empowering service teams with a comprehensive understanding of their customers.

Salesforce customers are already using Zoomin’s unified knowledge product to deliver intuitive experiences.

https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-zoomin/

MindsDB launches conversational enterprise-ready AI

MindsDB announced the launch of Minds, a turnkey, private conversational AI designed to reason and orchestrate across real-time and historical enterprise data to answer questions for AI applications and agents.

With Minds, developers can move from prototyping to building production-ready AI applications in weeks, without requiring specialized AI expertise. These applications can reason and understand user requests in natural language, including use cases for conversational search, analytics, and triage.

Minds answer questions across complex and diverse data environments. Minds perform transparent semantic query planning, showing users how they “think” through answering questions, as follows:

  • Minds are natural language fluent and understand user intent through conversation.
  • Based on that intent, Minds select the best data sources across databases, data warehouses, file systems, and applications, providing a unified view of an organization’s data.
  • Minds then translate the question into a plan of queries, optimized and federated across the chosen data sources.
  • Minds are also capable of applying calculations, such as sorting or structuring, needed to deliver the right answer.

Available as a turnkey, private solution, Minds ensure security, privacy, and regulatory compliance. Minds operate securely across any cloud or on-premises environment via Nvidia NIMs, and can be deployed serverlessly in MindsDB’s cloud.

https://mindsdb.com/newsroom/mindsdb-launches-conversational-enterprise-ready-ai-that-shows-you-how-it-thinks

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