Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 1 of 91)

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.

Wondershare EdrawMax V14.5 debuts

Wondershare unveiled the latest version of its diagramming software, EdrawMax V14.5. EdrawMax is one of the first mobile diagramming applications supporting AI diagramming features for AI-driven diagram and graphic creation.

EdrawMax V14.5 introduces the AI Diagram Creator across both mobile and desktop platforms, featuring capabilities like AI One-Click Replicate. Additionally, this update debuts tools such as the PowerPoint Add-in and Photo to Diagram Converter.

The EdrawMax AI Diagram Creator enables users to instantly convert their ideas into various diagrams, including architectural diagrams, slides, infographics, posters, knowledge cards and so on. Users simply input their ideas, and the AI-powered system can generate visually appealing results, logically structured diagrams with harmonized color schemes and optimized layouts.

Notable features include the AI One-Click Replicate, which revolutionizes diagram creation. After selecting a template and inputting relevant text, EdrawMax automatically analyzes the text’s logical structure, matches it to an appropriate template, and generates a corresponding diagram. Currently supported diagram types include flowcharts, mind maps, slides, posters.

The software also introduces an exclusive Photo-to-Diagram feature on mobile devices, which can accurately convert captured images, even handwritten notes, into editable diagram files. This allows mobile creative workflows, effectively transforming smartphones into portable intelligent design studios.

https://www.edrawsoft.com/ad/edrawmax-edrawsoftware

Sigma launches semantic layer integration and AI SQL capabilities on Snowflake

Sigma, an analytics platform, today announced two major platform innovations in partnership with Snowflake: an integration with Snowflake Semantic Views (private preview) and support for AI SQL, Snowflake’s feature for querying unstructured data. Together, these advances enable governed semantic exploration and file-based AI-powered analysis directly in Sigma’s spreadsheet-like interface. Structured metrics and raw human context—contracts, images, PDFs, and text—are queryable side-by-side in a single governed system.

Sigma also supports Snowflake AI SQL, a new capability that lets users query unstructured data as if it lived in a table. This news follows Sigma’s recent launch of its File Column Type feature, allowing end users to connect unstructured content with structured data, making complex workflows executable inside Sigma.

Teams can upload files with Sigma, run them through Snowflake’s LLM-based functions, and analyze the structured results alongside traditional datasets—no pipelines and no special tools required. Snowflake’s AI SQL functions analyze the content using LLMs, and Sigma picks up the structured output and renders it live in dashboards or workflows.

Joint customers can start using the semantic layer integration immediately through their existing Snowflake and Sigma environments as well as the full support for Cortex AISQL.

https://www.sigmacomputing.com/resources/announcements/sigma-launches-native-semantic-layer-integration-and-ai-sql-capabilities-on-snowflake-ai-data-cloud

Contentstack unveils Contentstack Data and Insights

Contentstack, a headless CMS and digital experience vendor, announced they have completed the integration of Lytics technology after acquiring the company in January. Contentstack Data and Insights, is a native set of capabilities for audience analytics and real-time data activation, along with omnichannel campaign orchestration capabilities, now integrated into Contentstack EDGE, its integrated adaptive digital experience platform (DXP).

As of today the digital experience platform, Contentstack EDGE includes:

  • Contentstack Data & Insights: A set of real-time intelligence capabilities connecting content and customer behavior, including:
    • Audience Insights App: Understand what content drives engagement and business outcomes, support targeted campaigns and ground personalization in data-driven insights. With visual maps, audience building, and opportunity insights, brands can learn what their audiences care most about in real time. Available at no additional cost to Contentstack customers.
    • Real-Time Data Activation: Deliver personalized experiences instantly with seamless access to over 200 data connectors and native integration with existing data warehouses, activated in real time as customers interact.
  • Campaign orchestration:
    • Flows: The ability to activate omnichannel personalization at scale through adaptive customer journeys that guide individuals seamlessly across web, mobile, email, ads, SMS, and other channels, maximizing engagement and conversions.

https://www.contentstack.com

MindsDB launches open-source AI interface for databases and documents

MindsDB, an open-source enterprise AI platform, released their AI chat interface in MindsDB Open Source. This platform enables users to interact with their connected databases and knowledge bases using natural language, merging semantic understanding and SQL querying in a single unified experience.

Drawing inspiration from MindsDB’s enterprise product line, the chat interface brings the advanced conversational capabilities of intelligent agents directly into the open source offering, allowing developers, data scientists, and business users alike to “talk to their data” with no-code simplicity.

The MindsDB conversational interface powered by its AI Agent technology automatically interprets user queries and orchestrates the right mix of SQL and semantic operations behind the scenes. For example, a user can ask: “What are the common themes in support tickets about feature X, and how does that correlate with user engagement metrics?” MindsDB intelligently splits this into:

  • A semantic query to extract themes from support tickets.
  • A parametric SQL query to retrieve structured usage data.
  • A unified response, delivered conversationally in the UI.

The new Chat UI is now available in beta within the latest release of MindsDB Open Source. Detailed setup instructions are available in the MindsDB documentation.

https://mindsdb.com/newsroom/chat-with-your-data-mindsdb-launches-open-source-ai-interface-for-databases-and-documents

Aprimo launches AI agents to transform content operations

Aprimo, a provider of digital asset management and content operations software, announced the launch of new enterprise-grade AI Agents, designed to automate and optimize manual tasks and decisions across content operations. Functionality spans planning, metadata, quality control, brand compliance, content production, and transformation.

Aprimo AI Agents are purpose-built digital workers embedded directly into the platform. They reduce manual work, ensure governance, and power large-scale content transformation across formats, languages, and markets. The agents span five specialized categories:

  • Planning agents include the Campaign Brief Agent and the Content Brief Agent which use AI to generate strategic campaign and content briefs based on organizational goals.
  • Librarian agents automate content typing, taxonomy application, metadata creation, and enrichment.
  • Critic agents evaluate tone, clarity, and sentiment to support editorial optimization.
  • Compliance agents perform brand and regulatory checks on creative assets.
  • Production agents transform rich media and text, streamlining content creation, renditioning, and localization.

Aprimo’s agents are integrated across the platform, enabling fluid, automated progression workflow. Agent are designed to work both independently and in concert with others, dynamically adjusting based on context, business logic, and real-time usage data. The result is a self-optimizing system that adapts to enterprise workflows and scales with content demand.

https://www.aprimo.com

LandingAI upgrades Agentic Document Extraction for complex documents

LandingAI, a creator of agentic vision technologies, announced major upgrades to Agentic Document Extraction (ADE). Unlike traditional optical character recognition (OCR), ADE sees a PDF or other document visually, and uses an iterative workflow to accurately extract a document’s text, diagrams, charts, form fields, to produce an LLM-ready output. Agentic Document Extraction (ADE) goes beyond traditional OCR and fine-tuned LLMs by utilizing layout-aware parsing, visual grounding, and no-template setup, allowing for quick deployment and dependable outcomes without the need for fine-tuning or model training. ADE updates include:

  • ADE now delivers faster processing than the initial release. Users can now process hundreds to thousands of pages per minute.
  • ADE parses structured forms and dynamic layouts for classification and extraction, and now delivers higher accuracy when extracting data from complex tables and multi-column layouts for reliable results even with challenging formats.
  • Visual Grounding links outputs to exact document locations (page, region, coordinates) for traceability, validation, and compliance. ADE now offers zero-data retention for enterprise customers.
  • Whether for research or large-scale production, ADE streamlines complex document processing, reducing manual review and saving costs

ADE is now available through self-serve and enterprise plans. For enterprise customers, tailored pricing and customized request limits are available.

https://landing.ai/agentic-document-extraction

dbt Labs unveils new Fusion engine

dbt Labs unveiled the new dbt Fusion engine, built on Rust and equipped with native SQL comprehension, introduces a faster developer experience that delivers productivity, data velocity, and platform intelligence to drive cost savings. dbt Labs also launched its VS Code extension, unlocking access to Fusion for local developers, and is introducing a free, source-available version of the Fusion engine with a subset of features. The dbt Fusion engine now powers the entire dbt platform, from the CLI, to dbt Orchestrator, Catalog, Studio, and other dbt products, and introduces SQL comprehension and many other capabilities. 

Fusion is now available for eligible dbt projects on Snowflake, with support for Databricks, BigQuery, and Redshift coming soon. dbt Labs is also introducing its VS Code extension to access the the Fusion engine while developing locally.

In conjunction with the rollout of the Fusion engine, VS Code extension and dbt MCP server, dbt Labs launched features designed to bring data analysts into the dbt workflow, including:

  • dbt Canvas, a visual editing experience enabling analysts less familiar with dbt or SQL to create new and edit existing dbt models.
  • dbt Insights, an AI-powered query interface that allows asking questions about their data models in SQL or natural language.

https://www.getdbt.com/blog/dbt-labs-redefines-dbt-with-new-fusion-engine

Box announces AI Platform to bring AI Agents to enterprise content

Box, Inc., an Intelligent Content Management (ICM) platform, announced the next evolution of its Box AI with a new generation of AI Agents designed to transform how organizations work with content. Customers will be able to leverage AI Agents for Search, Deep Research, and enhanced data extraction to uncover more value from their content in Box. Box also introduced a new Box AI Agent for Microsoft 365 Copilot that allows users to search, analyze, and act on Box content directly within Microsoft 365.

Box AI Agents are built with a layered approach, starting with enterprise knowledge found in Box, the Agents then leverage AI models from Amazon, Anthropic, Google, IBM, Meta, OpenAI, and xAI to best match the task’s demands. Every Agent is aligned to an objective, and follows a set of structured instructions that guide its actions. Users will be able to interact with Box AI Agents to extract insights from content and automate enterprise workflows. Box AI Agents can also be customized in Box AI Studio. 

Box AI Agents will be able to analyze large volumes of enterprise content to extract meaning and trends — automatically identifying the most relevant files using Box’s secure, permission-aware, retrieval-augmented generation (RAG) framework. 

https://blog.box.com/content-ai-virtual-summit-may-2025

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