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Category: Computing & data (Page 1 of 84)

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.

TileDB now available in AWS Marketplace

TileDB, a database designed for discovery, announced its availability through AWS Marketplace. AWS customers now have access to TileDB’s omnimodal capabilities directly within AWS Marketplace, streamlining the purchase and management of TileDB within their AWS environment. This expanded accessibility ensures a more diverse range of organizations can advance research and therapeutic development.

“Frontier” data is novel, large, diverse and complex, extremely valuable. Harnessing its power is key to an organization’s ability to unlock important insights and gain competitive advantage. For example, in healthcare and life sciences, diverse multiomics data is a valuable asset that fosters innovation, providing a clear competitive advantage by dramatically shrinking time to discovery for life-saving therapies. However, existing cloud database management systems struggle to efficiently manage such vast and varied frontier data, including population genomics, single-cell analyses, bioimaging, and other large datasets.

TileDB makes it possible for organizations to catalog all their data centrally, whether common and conventional or frontier and multimodal. This omnimodal architecture not only simplifies data discovery and enables secure collaboration, but also empowers research teams to make breakthrough correlations with speed.

https://tiledb.com

Progress launches Progress Data Cloud Platform

Progress, a provider of AI-powered digital experiences and infrastructure software, announced the launch of Progress Data Cloud, a managed Data Platform as a service designed to simplify enterprise data and artificial intelligence (AI) operations in the cloud to accelerate digital transformation and AI initiatives while reducing operational complexity and IT overhead.

Progress Data Cloud enables managed hosting of feature-complete instances of Progress Semaphore and Progress MarkLogic, with plans to support additional Progress products in the future. Benefits include:

  • Eliminates infrastructure complexity with always-on infrastructure management, monitoring service, continuous security scanning and automated product upgrades.
  • Reduces IT costs and bottlenecks with predictable pricing, resource usage transparency and no egress fees.
  • Hardens security with an security model that is SOC 2 Type 1 compliant.
  • Supports GenAI demands and large-scale analytics.

For MarkLogic customers Progress Data Cloud accelerates time to production by offering managed hosting for the Progress MarkLogic Server database and the Progress MarkLogic Data Hub solution with full feature parity.

For Semaphore customers Progress Data Cloud provides a new generation cloud platform with all existing Semaphore functionality plus new features for improved performance, security, reliability, user management and SharePoint Online integration.

https://www.progress.com/data-cloud

Perplexity introduces Sonar Pro API

With Perplexity’s Sonar and Sonar Pro API (the latter generally available to all developers starting today), you can build your own generative search capabilities powered with real-time, web-wide research and Perplexity features. We’re also expanding public access to advanced features like JSON mode and search domain filters for select usage tiers. 

The Sonar API is lightweight, affordable, fast, simple to use, and now includes citations and the ability to customize sources. It’s designed for companies who need to integrate lightweight question-and-answer features that are optimized for speed. 

For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like double the number of citations per search as Sonar on average. Plus, with a larger context window, it can handle longer and more nuanced searches and follow-up questions. 

SimpleQA is the prevailing benchmark for factuality, designed to evaluate whether large language models can answer short, fact-seeking questions. Sonar Pro is a top-performing model on factuality because it combines the summarization power of LLMs with access to real-time information rather than relying on stored training data to answer questions.

https://docs.perplexity.ai/guides/getting-started

Contextual AI launches platform for building specialized RAG agents

Contextual AI, an enterprise RAG company, announced the general availability (GA) of the Contextual AI Platform, helping enterprises build specialized RAG agents to support expert knowledge work.

While there is broad consensus that general-purpose AI agents are poised to streamline many generic tasks, Contextual AI believes that specialized RAG agents will instead be required to transform high-value, domain-specific knowledge work. For subject-matter experts in any organization, this means having AI tools that match their level of expertise and can be trusted to address complex or technical problems with confidence. Contextual AI has released public benchmark results demonstrating better performance in advanced RAG workflows across enterprise domains than Anthropic’s Claude 3.5 Sonnet and OpenAI’s GPT-4o.

The Contextual AI Platform includes all the capabilities needed to build, evaluate, and deploy specialized RAG agents, helping accelerate AI initiatives from pilot to production.

Enterprises can use the Contextual AI Platform to create specialized RAG agents that intelligently orchestrate retrieval and generation based on conversational context, delivering accurate responses for complex knowledge tasks across large corpora of structured and unstructured enterprise data. The Contextual AI Platform is powered by RAG 2.0, jointly optimizing the retriever and the generator in the RAG system.

https://contextual.ai/blog/contextual-ai-platform-generally-available/

dbt Labs acquires SDF Labs

dbt Labs, experts in analytics engineering, has acquired SDF Labs, the team of former Meta and Microsoft engineering leaders behind SDF, a data transformation technology. The acquisition will integrate SDF’s multi-dialect, dbt-native SQL comprehension capabilities into dbt, delivering improvements to dbt performance and enhancing the developer experience, efficiency, data velocity and data quality. the SDF Labs team will become a part of dbt Labs.

SDF Labs, which emerged from stealth in June 2024, has focused its efforts on building a toolset and framework to address the complexities of compiling and understanding SQL that users write, regardless of platform. It’s technology, built on the Rust programming language and natively integrated into dbt.

SDF validates the SQL code a user is writing as it’s being written. This real-time feedback allows developers to embrace modern development accelerants like code completion and content assist as well as pinpoint errors and ensure data quality earlier in the development process. This expedites data velocity, boosts data quality, and makes organizations more efficient in their analytics practices. SQL comprehension also adds a new layer of detailed metadata to dbt’s table- and column-level lineage for enhanced data classification, enabling organizations to accomplish nuanced governance use cases.

https://www.getdbt.com/blog/dbt-labs-announces-sdf-labs-acquisition

Foxit launches standalone web-based AI platform

Foxit, a provider of PDF and eSignature products and services, helping knowledge workers to increase their productivity and do more with documents, announced the launch of Foxit AI, a standalone web-based AI platform that delivers document-centric AI capabilities to users across industries.

Foxit AI offers a comprehensive suite of features, including AI-powered chat assistance, document and image analysis, advanced summarization, multilingual translation, text enhancement, and the ability to analyze multiple documents simultaneously. By combining intuitive design, cross-device accessibility, and seamless integration with Foxit’s broader ecosystem, Foxit AI empowers users across industries to streamline workflows, gain actionable insights, and maximize productivity.

Whether simplifying complex legal documents, generating concise summaries, or translating content for global audiences, Foxit AI is designed to provide an efficient, secure, and user-friendly solution tailored to modern document management challenges.

https://foxit.com

Contentstack acquires Lytics

Contentstack, a composable digital experience platform (DXP) provider, today announced its acquisition of Lytics, a real-time customer data platform. The acquisition, which closed in December of 2024, brings comprehensive audience insights, content analytics and profile management to the Contentstack platform, unlocking real-time personalization for known and unknown users. Major global brands including Kraft Heinz, Mondelez, Glassdoor, Universal Music Group, LiveNation, Clorox and Ancestry will join the Contentstack customer community. 

With the Lytics acquisition, Contentstack addresses the actionable first-party data activation side of the equation. The technology gives brands:

  • Real-time engagement data and audience insights for both known and unknown visitors.
  • The ability to easily create audience profiles and segments out-of-the-box.
  • A data activation layer that enables users to access and understand customer data and send it across preferred channels instantly.

The Lytics acquisition creates a combined entity with over 500 customers and 500 employees.

https://www.contentstack.comhttps://www.lytics.com

Graphlit Agent Tools Library streamlines unstructured data ingestion and AI agent workflows

Unstruk Data Inc, an AI software provider, introduced the Graphlit Agent Tools Library, now live on GitHub (github.com/graphlit/graphlit-tools-python). This new toolkit builds on Graphlit’s RAG-as-a-Service platform capabilities, enabling developers to rapidly build AI agents that streamline data handling and LLM-driven workflows. By eliminating infrastructure complexities, Graphlit positions itself as a comprehensive solution for organizations seeking to harness large language models (LLMs) and unstructured data at scale. Features include:

  • Multi-Agent Orchestration
    Built-in CrewAI integration offers a streamlined path to multi-agent collaboration without heavy coding.
  • Extensive Data Connectivity
    Ingest data from Google Drive, OneDrive, Dropbox, SharePoint, Notion, Intercom, Zendesk, Slack, Teams, GitHub, Jira, Linear, ensuring seamless integration of diverse sources into agentic workflows.
  • Robust RAG Tools
    Offers built-in capabilities for PDF OCR, content chunking, vector embeddings, and RAG conversation history in a single library of agent tools.
  • Multi-Model Compatibility
    Integrates with top LLMs (OpenAI, Anthropic, Cohere, Google AI, Groq, Mistral, etc.) for context-rich, near-real-time decision-making.
  • Multimodal Data Support
    Ingest and process diverse data types—including text, audio, video, and images—with automatic transcription and image embeddings for deeper AI insights.
  • Azure-Native Security
    Inherits enterprise-grade encryption, auto-scaling via Azure Functions, and compliance readiness (SOC 2, GDPR, HIPAA) from Microsoft Azure, ensuring robust governance for sensitive data.

https://www.graphlit.com

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