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Category: Computing & data (Page 1 of 92)

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.

Bloomreach and Snowflake partner

Bloomreach, a platform for personalization, today announced a new partnership with the Snowflake AI Data Cloud, empowering businesses to activate enterprise-grade data infrastructures across marketing channels. With Bloomreach and Snowflake, businesses can combine customer engagement with maximum personalization, connecting customer data stored in Snowflake with Bloomreach’s AI-powered marketing solutions. This partnership ensures marketers can activate their Snowflake data instantly and intelligently through Bloomreach.

Bloomreach’s native Snowflake integration is already available to businesses. It securely syncs customer attributes, event data, and product catalogs from Snowflake into Bloomreach. Businesses unlock the full value of their customer data, breaking down silos between storage and activation, and enabling personalization powered by AI.

Additionally, this integration enables marketing teams to:

  • Power Loomi AI agents in Bloomreach with enriched customer and product intelligence
  • Automate campaign triggers based on Snowflake events
  • Deliver timely personalization with fresh data and hyper-relevant insights
  • Safeguard sensitive data through selective import capabilities, transferring only the specific data required for a given use case

https://www.bloomreach.com/en/news/2025/bloomreach-and-snowflake-partner-to-unify-customer-data-and-ai-driven-activation-helping-marketers-personalize-the-entire-customer-journey/

TileDB announces partnership with Databricks to harness multimodal data

TileDB, a multimodal database company, and Databricks, a Data and AI company, announced a strategic partnership to eliminate data silos preventing healthcare and life sciences organizations from fully leveraging AI-driven drug discovery and clinical insights.

The partnership addresses the challenge of integrating complex scientific data that TileDB supports, including multiomics, medical imaging, and clinical records with the Databricks Data Intelligence Platform and Databricks’ analytics workflows — enabling the development of AI agents that can analyze all data types without requiring costly data migration or transformation.

TileDB addresses offers a sophisticated, omnimodal data management platform, which takes the notion of multimodality beyond text, video, audio, and images, and adds scientific modalities using multi-dimensional arrays. Scientific modalities are ever-evolving, and the omnimodal philosophy can support whatever is the most relevant and important data today. The TileDB – Databricks partnership establishes a bi-directional bridge between specialized data storage and powerful compute capabilities, underpinned by Databricks’ unified data governance model.

The integration is available now in private preview with select customers, and enables data stored in TileDB’s high-performance array database to run on the Databricks Data Intelligence Platform, and vice versa. Additional features will be rolled out in the second half of this year.

https://www.tiledb.com

Syncro Soft releases Oxygen AI Positron Assistant 6.0

All Oxygen AI Positron Assistant 6.0 distributions now feature the advanced GPT-4.1 OpenAI model as default. All AI action prompts have improved quality, consistency, and reuse. The users of the Enterprise distribution get new connectors for Google Gemini and Vertex AI, as well as enhanced Microsoft Azure OpenAI integration and simplified configuration.

Oxygen AI Positron Assistant brings automatic validation and correction of AI-generated content, and smarter document context expansion for the AI Positron Fix action. User preferences and rules can be saved as persistent memories. AI context can be supplemented with additional files automatically, or by manually attaching files to conversations, and prompts can be entered using voice input. AI actions can be invoked directly from chat, the Improve Readability action supports audience level customization, and AI development actions are available for more document types.

Oxygen AI Positron Assistant for Eclipse now works with a broader range of editors (Java, Python, C/C++, Perl, and plain text). It offers a dedicated framework for developing custom AI actions, DITA documentation draft generation from configuration files, and AI-enabled templates for rapid creation of XSLT, XSD, Schematron, JSON Schema, and DTD files. Installation and updates are streamlined with the Eclipse update site support.

https://www.oxygenxml.com/ai_positron/whats_new.html

Cloudflare blocks AI crawlers accessing content by default

Cloudflare, Inc. a connectivity cloud company, announced it is now the first Internet infrastructure provider to block AI crawlers accessing content without permission or compensation, by default. Starting today, website owners can choose if they want AI crawlers to access their content, and decide how AI companies can use it. AI companies can also now clearly state their purpose – if their crawlers are used for training, inference, or search – to help website owners decide which crawlers to allow. Cloudflare’s new default setting is a step toward a more sustainable future for both content creators and AI innovators.

AI companies will now be required to obtain explicit permission from a website before scraping. Upon sign-up with Cloudflare, every new domain will now be asked if they want to allow AI crawlers, giving customers the choice upfront to explicitly allow or deny AI crawlers access. This significant shift means that every new domain starts with the default of control, and eliminates the need for webpage owners to manually configure their settings to opt out. Customers can easily check their settings and enable crawling at any time if they want their content to be freely accessed.

https://www.cloudflare.com/press-releases/2025/cloudflare-just-changed-how-ai-crawlers-scrape-the-internet-at-large

Grammarly to acquire Superhuman

Grammarly, an AI assistant for communication and productivity, announced its intent to acquire Superhuman, an AI-native email app that helps users respond faster and save hours every week on their email communications. This acquisition accelerates Grammarly’s evolution into an AI productivity platform for apps and agents, positioning email as a critical communication surface in the company’s vision of an agentic future.

Email is the number-one use case of Grammarly for professionals, with the AI assistant helping to revise over 50 million emails per week across more than 20 email providers, including Gmail, Outlook, Apple Mail, and Superhuman.

Superhuman brings more than productivity gains to the acquisition. Building on its impressive adoption, Superhuman is defining the future of email and evolving into a comprehensive workspace for agents. Now imagine taking that efficiency even further with AI agents that triage your inbox, schedule your meetings, perform deep research over all your content, and write full emails in your own voice and tone. Imagine those agents reasoning, problem-solving, incorporating detailed context about your work, and interacting with other systems and agents. This future platform will enable scenarios where users can work with multiple agents simultaneously.

https://www.grammarly.com/blog/company/grammarly-to-acquire-superhumanhttps://superhuman.com

CLX Europe launches creative content studio in Paris focused on 3D scanning technology

CLX Europe, an eClerx company, introduced its new content creation studio in Paris, France today, during its participation in Viva Technology 2025, Europe’s premier technology event.

Through CLX Europe’s partnership with ALLSIDES Media (previously Covision Media), this cutting-edge studio leverages generative AI, high-resolution 3D scanning, and creative expertise to seamlessly create digital content production for luxury fashion brands and eCommerce players.

Operational since February 2025, the studio deploys ALLSIDES technology to create immersive, photorealistic content that enhances digital storytelling and engagement. With this digital-first approach to creative content production, the Paris studio will be able to offer:

  • Automated 3D asset production: Re-lightable, reality-grade models with minimal manual intervention
  • Scalability and speed: High-volume, customized content creation for fast-paced digital demands
  • Omnichannel integration: Assets optimized for eCommerce, social media, AR/VR, and virtual try-ons

This approach will also further CLX Europe’s mission for more sustainable practices, dramatically reducing waste and greenhouse gas emissions for clients without sacrificing quality.

The addition of the Paris studio will not only allow CLX Europe to offer realistic-grade content production for luxury brands, but also open the door for the creation of groundbreaking 3D assets.

https://www.clxeurope.comhttps://www.allsides.tech

Algolia introduces context-aware retrieval for agents

Algolia, an AI-native search and discovery platform, released its MCP Server, the first component in a broader strategy to support AI agents. This new offering enables large language models (LLMs) and autonomous agents to retrieve, reason with, and act on real-time business context from Algolia.

With the Algolia MCP Server, agents can access Algolia’s search, analytics, recommendations, and index configuration APIs through a standards-based, secure runtime. This turns Algolia into a real-time context surface for agents embedded in commerce, service, and productivity experiences. Additionally, Algolia’s explainability framework with its AI is included for enhanced transparency.

Algolia’s MCP Server is purpose-built for enterprise-grade agent orchestration, enforcing policy at the protocol layer to ensure agents operate within role- and context-sensitive boundaries. It provides end-to-end observability, making every agent-triggered decision fully traceable and inspectable. The platform also enables privacy-aware personalization that complies with regional regulations like GDPR and CCPA, without relying on invasive tracking.

Enterprise customers, developers, and partners can start building AI-native applications, copilots, and intelligent agents today. Algolia’s MCP Server supports Anthropic’s Model Context Protocol (MCP) and can be integrated with leading LLM runtimes.

https://www.algolia.com/about/news/algolia-introduces-context-aware-retrieval-for-the-agentic-era

Deepgram launches Voice Agent API

Deepgram, a voice AI platform for enterprise use cases, announced the general availability of its Voice Agent API, a single, unified voice-to-voice interface that gives developers full control to build context-aware voice agents that power natural, responsive conversations. Combining speech-to-text, text-to-speech, and large language model (LLM) orchestration with contextualized conversational logic into a unified architecture, the Voice Agent API gives developers the choice of using Deepgram’s fully integrated stack (leveraging Nova-3 STT and Aura-2 TTS models) or bringing their own LLM and TTS models. It delivers simplicity for developers and the controllability enterprises need to deploy voice agents.

Deepgram’s Voice Agent API provides a single, unified API that integrates speech-to-text, LLM reasoning, and text-to-speech with built-in support for real-time conversational dynamics. Capabilities such as barge-in handling and turn-taking prediction are model-driven and managed natively within the platform.

While the Voice Agent API streamlines development, it also gives teams control over performance, behavior, and scalability in production. Built on Deepgram’s Enterprise Runtime and model ownership across the voice AI stack, the platform enables model-level optimization at every layer of the interaction loop for precise tuning of latency, barge-in handling, turn-taking, and domain-specific behavior in ways not possible with disconnected components.

https://deepgram.com/learn/voice-agent-api-generally-available

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