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Category: Computing & data (Page 2 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.

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

Perplexity and PayPal partner

Perplexity today announced that it has partnered with PayPal to power agentic commerce across its Perplexity Pro platform. Starting this summer in the U.S., consumers can check out instantly with PayPal or Venmo when they ask Perplexity to find products, book travel, or buy tickets.

The entire process, including payment, shipping, tracking, and invoicing will be handled behind the scenes with PayPal’s account linking, secure tokenized wallet and emerging passkey checkout flows, which could eliminate the need for passwords and streamline the experience to a single user query or click. Features include:

  • Agentic Commerce: Integration of PayPal’s commerce solutions, enabling users to buy products or services directly in Perplexity’s chat interface.
  • Global Reach: Expanding Perplexity’s commerce tools to PayPal’s 430+ million active accounts across approximately 200 markets.
  • Secure Transactions: Leveraging PayPal’s robust fraud detection and data security protocols.

Whether users are researching a topic, comparing products, or planning a trip, Perplexity turns natural questions into trustworthy, ready-to-use results, streamlining how people learn, decide, and get things done online.

https://www.perplexity.ai/shoppinghttps://newsroom.paypal-corp.com/2025-05-14-Perplexity-Selects-PayPal-to-Power-Agentic-Commerce

Databricks to acquire Neon

Databricks, a Data and AI company, announced its intent to acquire Neon, a serverless Postgres company. Databricks plans to continue innovating and investing in Neon’s database and developer experience for existing and new Neon customers and partners.

Recent internal telemetry showed that over 80 percent of the databases provisioned on Neon were created automatically by AI agents rather than by humans. These workloads differ from human-driven patterns in three ways:

  1. Speed + flexibility: Neon can spin up a fully isolated Postgres instance in 500 milliseconds or less and supports instant branching and forking of database schema but also data, so experiments never disturb production.
  2. Cost proportionality: Neon’s full separation of compute and storage keeps the total cost of ownership for thousands of ephemeral databases proportional to the queries they actually run.
  3. Open source ecosystem: Neon is Postgres-compatible and works out of the box with popular extensions.

Databricks and Neon will work to remove the traditional limitations of databases that require compute and storage to scale in tandem — an inefficiency that hinders AI workloads. The integration of Neon’s serverless Postgres architecture with the Databricks Data Intelligence Platform will help developers and enterprise teams efficiently build and deploy AI agent systems.

https://www.databricks.com/company/newsroom/press-releases/databricks-agrees-acquire-neon-help-developers-deliver-ai-systemshttps://neon.tech

Foxit launches enterprise Smart Redact Server

Foxit, a provider of PDF and eSignature products and services, announced Smart Redact Server, a new AI-driven platform built to automate the redaction of sensitive data at scale across enterprise environments. Designed for organizations that manage large volumes of regulated content, the solution enables legal, financial, healthcare, and compliance teams to detect and redact classified, personally identifiable (PII), and other sensitive information.

Smart Redact Server equips teams tasked with data privacy and regulatory compliance, including enterprise administrators, legal and compliance departments, financial institutions, and healthcare organizations with a scalable way to identify and redact sensitive content, whether it’s personally identifiable information (PII), financial records, or protected health data. Features: 

  • AI-powered detection and redaction of PII, financial, legal, and medical data 
  • Batch processing and scheduled scans automate compliance workflows, reduce manual effort 
  • Support for 47 file types, including PDF, DOCX, scanned images, HTML, JSON, XML 
  • Cloud-native SaaS platform with integration across OneDrive, SharePoint, AWS S3, and Box 
  • Zero data retention policy with AES-256 and SSL 2048-bit encryption for in-place, secure document processing 
  • Regulatory compliance with GDPR, HIPAA, CCPA, SOX, ISO 27001, and SOC 2 Type II 
  • Role-based team management, audit trails, and reusable redaction templates tailored by industry and region.

https://redact.foxit.com/

Algolia unveils AI Agents for Salesforce and Adobe

Algolia, a AI-native search and discovery platform, announced a new AI agent experience that illustrates how autonomous systems can act on real-time data across enterprise platforms. Demonstrated using Salesforce’s Agentforce and integrated with Adobe Experience Manager (AEM), Adobe Experience Platform (AEP), and Salesforce Commerce Cloud (SFCC), Algolia shows what’s possible when agents are equipped with live, structured context, without latency or hallucination.

Algolia semantically interprets user intent, retrieves structured content from its index containing data from multiple customer datastores, and assembles context-aware responses in real time—bridging the gap between front-end agent platforms like Agentforce and the backend systems that hold critical content and customer signals.

Algolia handles this orchestration through its AI-native search engine, which retrieves the most relevant information from its index, content that has been ingested and structured from platforms like Adobe Experience Manager (AEM), Salesforce Commerce Cloud (SFCC), and Adobe Experience Platform (AEP). Whether surfacing personalized media, live product availability, or behavioral attributes, Algolia assembles responses that reflect the full customer context and returns them in milliseconds. The result is an agent experience that feels intuitive, precise, and deeply responsive to user needs.

https://www.algolia.com/about/news/algolia-unveils-new-real-time-context-aware-ai-agents-across-salesforce-and-adobe

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