Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 2 of 73)

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.

Fivetran introduces dbt Cloud orchestration integration

Deepening its relationship with dbt Labs, Fivetran, provider of data integration, today announced its new orchestration integration with dbt Cloud, enabling enterprises to seamlessly manage data movement and transformations using the Fivetran platform. Now, with Fivetran as the hub, dbt Cloud transformations occur immediately and sequentially once data is loaded in a cloud data lake or warehouse, decreasing workflow inefficiencies and costs while ensuring businesses are powered by always-on data. 

With a fully automated data pipeline, data teams no longer need to run data integration and transformations independently. Downstream data workflows are now synchronized to automatically run upon completion of fresh data load, rather than a set schedule as had previously been the case.

The new Fivetran-dbt Cloud orchestration streamlines data practices, complexities and costs, while also ensuring companies can do more with their data. In a time where data provides a significant competitive advantage, an automated pipeline is essential. It helps companies make the most informed data-driven decisions and builds the foundation for next-generation data projects.

The new dbt Cloud integration adds to Fivetran’s existing offerings that are aimed to help organizations get from raw data to insights faster, including Fivetran’s Quickstart and pre-built data models.

Mindbreeze and Ariza Content Solutions partner

Mindbreeze, a provider of appliances and cloud services in the field of information insight, and Ariza Content Solutions have created a partnership to employ and enhance insights & search experiences and provide companies with content management.

While traditional content workflows encompassed content creation, through management of editorial and production processes, to final publication and delivery to various distribution channels, today content creators are learning the value of connected, searchable data to allow for deeper connections in their content. To accomplish this goal, Ariza employs solutions incorporating AI-driven insight engines like Mindbreeze InSpire. Insight engines enhance the search experience giving customers, both external and internal access to knowledge and insight into their content.

Mindbreeze InSpire, an insight engine, uses traditional search methods and sophisticated data analysis approaches to interpret business information and answer critical business questions. Equipped with machine learning and AI capabilities, the Mindbreeze InSpire solution provides a foundation for successful enterprise knowledge management.


Box announces Box App for Apple Vision Pro

Box, Inc., a Content Cloud, announced the launch of the new Box app for Apple Vision Pro. Designed to take advantage of spatial computing, Box for Apple Vision Pro dramatically updates how people experience and collaborate on content in the enterprise. The uniquely immersive experiences and infinite desktop of the visionOS platform transforms how people work with content, while relying on the security and compliance of the Box Content Cloud. 

By bringing Box’s productivity and collaboration experience to visionOS, Box customers can access a rich set of collaborative and secure content features that will change how they engage with their digital content. For example:

  • Immerse yourself in rich content
  • Merge the digital and physical world
  • Get “hands-on” and interact with content in new ways
  • Create your own infinite desktop to multitask
  • Seamlessly organize and navigate your files

Box Admins will be able to enable and configure the Box experience on Apple Vision Pro, designed to keep customers in control of their data so they can determine access controls to granular features with a simple on and off toggle. The Box for Apple Vision Pro app is available for free in the App Store for visionOS for Box users.

Uniform announces CMS capabilities for Visual Workspace

Uniform announced the addition of new CMS capabilities to its Uniform Visual Workspace, to expand the basic concept of a CMS from a single-source content repository to unified, multi-source one. This enables brands to leverage content from any source without writing any integration logic, setting up unreliable data synchronization processes, or moving content into yet another repository. In the Visual Workspace, mapping fields from different content sources is done without developer involvement. Localization, versioning and asset management are now part of the Visual Workspace.

For brands who already have one or more CMSs in place, this creates an opportunity to work with a single content model that spans those systems, along with any other content sources they use – be they legacy, monolithic, composable, or bespoke. With generative AI integrated throughout the Visual Workspace, new content can be created almost instantly. Uniform provides guardrails that ensure generative AI is creating accurate, on-brand content, using the language models you choose.

ActionIQ announces CXAI to integrate GenAI data & GenAI content

ActionIQ, an Enterprise Customer Data Platform, announced the launch of CXAI, a suite of AI-enabled solutions purpose-built for customer experience (CX), marketing, and data teams. The first CXAI release introduces two modules, CXAI Data and CXAI Content. Together, these capabilities are meant to help marketers deliver personalized creative content to individual audience members.


  • GenAI Audiences. An audience co-pilot for marketers, bringing a natural language interface to GenAI for marketers to build audiences, analyze performance, and uncover insights. Marketers can design the audiences and experiences they want, in their own language, without requiring SQL or data expertise.
  • AI Decisioning & Analytics. A new decisioning engine for personalizing customer experiences. AI Decisioning makes recommendations and optimizes for the best audience, products, offers, lookalikes, channel preference, and more. AI Decisioning can use out-of-the-box models, custom models, or in-house models.

CXAI Content. Today, we are announcing an exciting new partnership with Typeface, a generative AI platform for enterprise content creation. With ActionIQ CXAI Content and Typeface Multimodal Content Hub integration, marketers and designers create customized, on-brand content that aligns with ActionIQ’s audiences, and can be activated across any channel.

Pega introduces Pega GenAI Knowledge Buddy

Pegasystems Inc., announced Pega GenAI Knowledge Buddy, a generative AI assistant to enable customers and employees to get specific answers synthesized by generative AI from content scattered across knowledge bases.

With Knowledge Buddy, customers and employees can ask questions through conversational interfaces and get specific, accurate, audited, and concise responses – with transparent attribution to source content. Users can also ask Knowledge Buddy to generate new content, such as emails or documents, based on their existing libraries. Additionally, security features give organizations control over user access rights as well as transparency to understand how and from where the technology pulls information. Content authors will be able to add, update, or delete knowledge, with all actions managed and audited by Pega’s workflow automation. 

Organizations will be able to configure unique Buddies for different use cases – such as answering marketing, operations, sales, or service questions – and quickly integrate them into any internal system or digital channel.

Pega Knowledge Buddy also connects to knowledge libraries within Pega Knowledge Management, which allows organizations to build, manage, and optimize content by assisting content authors and managers during the curation process and enables content versioning and lifecycle management.

DataStax launches Data API to simplify GenAI application development

DataStax, a company that powers generative AI (GenAI) applications with relevant, scalable data, announced the general availability of its Data API, a one-stop API for GenAI, that provides all the data and a complete stack for production GenAI and retrieval augmented generation (RAG) applications with high relevancy and low latency. Also debuting today is a completely updated developer experience for DataStax Astra DB, a vector database for building production-level AI applications. 

The new vector Data API and experience makes Apache Cassandra available to JavaScript, Python, or full-stack application developers in a more intuitive experience for AI development. It is specifically designed for ease of use, offering higher relevancy, throughput, and fast response times, by using the JVector search engine. It introduces an intuitive dashboard, efficient data loading and exploration tools, and seamless integration with AI and machine learning (ML) frameworks. 

Developers can use the Data API for an out-of-the-box AI ecosystem that simplifies integrations with GenAI ecosystem leaders like LangChain, LLamaIndex, OpenAI, Vercel, Google Vertex AI, Amazon Bedrock, GitHub Copilot, Azure, and all major platforms while supporting security and compliance standards. Any developer can now support advanced RAG techniques such as FLARE and ReAct that must synthesize multiple responses.

Ontotext’s GraphDB available on the Microsoft Azure Marketplace

Ontotext, a semantic knowledge graph provider, today announced that its flagship product, GraphDB, is now available on the Microsoft Azure Marketplace. Now, enterprises can streamline the global deployment of graph databases, facilitating the migration of on-premises data to Azure and other prominent public cloud platforms. Customers can take advantage of the Azure cloud platform, with streamlined deployment and management to ensure compliance with rigorous industry and privacy regulations. 

Ontotext GraphDB accelerates knowledge graph builds, and provides users with a platform for enterprise-wide data integration and discovery. GraphDB was developed for companies with decentralized data challenges and that require data driven analytics in order to drive insights for crucial business needs. GraphDB on Azure enables their joint customers to:

  • Remove data silos and speed up time to insights/time to market with a linking engine for enterprise data management.
  • Unify data sources for impactful data sharing, collaboration and semantic data discovery that delivers ROI on information architecture spend.
  • Empower standardized data exchange, discovery, integration, and reuse to provide 360 views of their business.

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