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Category: Computing & data (Page 2 of 95)

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.

MariaDB unveils unified cloud database platform

MariaDB plc announced the availability of MariaDB Enterprise Platform 2026, a database platform for building next-generation intelligent applications. This new release reduces complexity by unifying transactional, analytical and AI (vector) database engines into a single platform. With the addition of retrieval-augmented generation (RAG) pipelines and AI agents, MariaDB Enterprise Platform is designed to create a strategic advantage for enterprises building agentic applications. Instead of complex, slow data pipelines, AI agents can now autonomously access data and extract critical insights from MariaDB’s cloud-native, serverless platform instantly.

  • Built-in RAG: MariaDB Enterprise Platform 2026 introduces a native “RAG-in-a-Box” solution. MariaDB AI RAG enables the grounding of large language models (LLMs) with context from the data stored in MariaDB.
  • Embedded AI Copilots: MariaDB’s AI copilots are ready-to-use agents inside MariaDB’s platform allowing agentic applications to interact with data through natural language. Available via MariaDB Cloud, preconfigured agents include a developer and a DBA AI copilot. The developer copilot is a Text-to-SQL agent connected to MariaDB’s database that responds to natural language queries with insights on the data stored in your database.
  • Integrated MCP Servers: The Model Context Protocol (MCP) Servers enable AI Agents to interact with MariaDB databases and other databases across the enterprise.

https://mariadb.com/newsroom/press-releases/mariadb-unveils-unified-cloud-database-platform-designed-to-accelerate-agentic-ai-application-development

Bloomreach and Uniform unveil turnkey conversational commerce framework

Bloomreach, an agentic platform for personalization, and Uniform, a composable digital experience platform, today announced a turnkey AI solution unveiled at the MACH Alliance’s AI Hackathon taking place from October 21-22. Powered by the Open Data Model from MACH Alliance, the solution showcased how composable technology and generative AI can be seamlessly combined, enabling any brand to build conversational experiences that help them retain control of their customer relationships.

Built on AWS, the solution aggregates product catalogs from multiple commerce platforms through Uniform, and enriches them with AI-driven tagging, normalization, and metadata optimization. Then, the product data flows into Bloomreach Clarity, where it powers a fully conversational shopping interface — allowing customers to browse, compare, and shop via natural dialogue. 

https://www.bloomreach.com/en/news/2025/bloomreach-and-uniform-to-unveil-new-turnkey-conversational-commerce-framework/https://www.uniform.devhttps://machalliance.org

Graphwise launches Graph AI Suite

Graphwise, announced Graph AI Suite, a comprehensive Graph AI platform that accelerates how businesses unlock value from their data. It turns enterprise knowledge into a self-improving engine for trustable AI by leveraging GraphRAG. The platform’s capabilities simplify how organizations build intelligent knowledge graphs that continuously learn at scale.

  • Modeling & Mapping: Allows organizations to build a graph from structured and unstructured data, including automated taxonomy building. It helps them mature from “text on a document” toward “structured content” and, eventually, a knowledge graph, improving GraphRAG performance.
  • Ingestion & Automation: These components connect to arbitrary systems and support specific use cases for each organization, enabling integration with LLMs such as Gemini, Llama, and others and agentic AI platforms.
  • Semantic Analysis: Automatically moves content toward a knowledge graph by creating taxonomies and enterprise vocabularies. It drives semantic metadata enrichment across data silos, building the basis for a highly accurate GraphRAG infrastructure. A key part of the AI Flywheel, it makes the platform easy for subject matter experts to use.
  • GraphRAG: This is the Graph AI Suite’s core capability for delivering trustworthy AI. It uses the knowledge graph to furnish the LLM accurate, context-rich and semantically relevant data, mitigating hallucinations and ensuring responses are grounded in verifiable facts.

http://www.graphwise.ai/

Google announces Gemini Enterprise

From the Google Products Blog…

AI has opened up new opportunities in the cloud market — and today, we announced our next chapter with Gemini Enterprise. Gemini Enterprise is designed on the premise that true business transformation in the era of AI must go beyond simple chatbots. You need a comprehensive and integrated platform that brings all your company’s data, tools, and people together in one secure place.

That’s exactly what we’ve built. Gemini Enterprise is an AI-powered conversational platform designed to bring the full power of Google AI to every employee for every workflow.

Built with Google’s most advanced Gemini models, it enables you to chat with your company’s documents, data, and applications. It also gives you the tools to build and deploy AI agents, as well as a suite of pre-built agents, and is grounded in your company’s information and your personal context at work.

Delivering this level of transformation requires a commitment to upskilling your teams. So today, we are announcing a comprehensive set of programs to help you succeed, including free Google Skills training, and the Gemini Enterprise Agent Ready (GEAR) program.

Gemini Enterprise: The new front door for Google AI in your workplace

Grafana Labs releases Grafana Assistant

Grafana Labs announced the general availability of Grafana Assistant, a context-aware AI agent built for Grafana, along with the public preview of Grafana Assistant Investigations, an AI-powered feature that extends Grafana Assistant to accelerate multi-step incident investigations. New and enhanced capabilities include:

  • Query generation without deep syntax knowledge: Automatically generate and refine queries in PromQL, LogQL, and TraceQL based on plain-language prompts.
  • Organizational value unlock: Self-service access for non-observability teams reduces dependency on stretched SREs.
  • In‑context onboarding and learning support: Access contextual help, explanations, and “what to try next” guidance directly within Grafana.
  • Enterprise-ready access controls: Building on existing RBAC in Grafana Cloud, Grafana Assistant now offers Assistant-specific roles and permissions. Admins can configure access to features such as rules, Assistant Investigations, and MCP server management at a granular level, ensuring teams can align observability workflows with enterprise security and compliance requirements.

Assistant Investigations, available in public preview, builds on Grafana Assistant by acting as an autonomous agent for incident response. It analyzes the observability stack, generates findings and hypotheses, and provides actionable recommendations for mitigation and remediation. Fully integrated with Grafana Assistant, Assistant Investigations creates a seamless guided workflow for resolving complex incidents.

https://grafana.com/about/press/2025/10/08/grafana-labs-revolutionizes-ai-powered-observability-with-ga-of-grafana-assistant-and-introduces-assistant-investigations

TileDB launches Carrara, an omnimodal data intelligence platform

TileDB announced controlled availability of TileDB Carrara, an omnimodal data intelligence platform addressing the inability to discover, access, and analyze all data types, from structured tables to non-tabular data such as genomics, imaging, documents, models, agents, in a unified, governed environment.

TileDB Carrara treats all data as “modalities”—reachable, shareable data or code assets with inherent structure and domain-specific semantics. Whether population variants, bioimaging, PDF documents, Jupyter notebooks, user-defined functions, or external tables from existing data warehouses, assets become discoverable, and queryable.

This release of TileDB Carrara supports:

  1. Organization: A unified catalog for registering and searching across all modalities, supporting rich metadata filters and LLM-powered discovery
  2. Structuring: Leveraging TileDB’s shape-shifting array technology to efficiently capture any complex data type, optimized for cloud storage backends
  3. Collaboration: Teamspaces that function as secure data products, enabling users to create, share, and audit access to diverse assets within data clean rooms
  4. Analyze: An infrastructure for massively distributed computations, workflows, notebooks, and dashboards that manages all the data. 

While Carrara’s omnimodal architecture serves enterprises across sectors, its impact is particularly useful in life sciences and healthcare, where the integration of multimodal data (genomics, proteomics, clinical imaging, electronic health records, and sensor data) is essential.

https://www.tiledb.com/blog/introducing-carrara

Microsoft adds Anthropic model options for 365 Copilot

From the Microsoft 365 Blog…

Copilot will continue to be powered by OpenAI’s latest models, and now our customers will have the flexibility to use Anthropic models Claude Sonnet 4 and Claude Opus 4.1 too — starting in Researcher or when building agents in Microsoft Copilot Studio.

Here’s how Anthropic models are showing up in Microsoft 365 Copilot starting today:

  • Researcher agent: Our reasoning agent can now be powered by either OpenAI’s deep reasoning models or Anthropic’s Claude Opus 4.1. Whether you’re building a detailed go-to-market strategy, analyzing emerging product trends, or creating a comprehensive quarterly report, you can now select your preferred model to power in-depth work.
  • Copilot Studio: Claude Sonnet 4 and Claude Opus 4.1 models are now available as model options in Copilot Studio, enabling you to easily create and customize enterprise-grade agents. With this launch, you can build, orchestrate, and manage agents powered by Anthropic models for deep reasoning, workflow automation, and flexible agentic tasks. And with multi-agent systems and prompt tools in Copilot Studio, you can mix which models are used for specialized tasks from Anthropic, OpenAI, or any of the models in the Azure Model Catalog.

https://www.microsoft.com/en-us/microsoft-365/blog/2025/09/24/expanding-model-choice-in-microsoft-365-copilot/

Google announces 10 new AI features for Chrome

From the Google Products Blog…

Today we share how we’re using the latest in Google AI to enhance your browsing experience. We’re building Google AI into Chrome across multiple levels so it can better anticipate your needs, help you understand more complex information and make you more productive when you browse the web:

1. Enhance your browsing with Gemini in Chrome

Starting today, we’re rolling out Gemini in Chrome to Mac and Windows desktop users in the U.S. with their language set to English, so you can ask Gemini to clarify complex information on any webpage (or webpages) you’re reading. It’ll be available to businesses in the coming weeks via Google Workspace with enterprise-grade data protections and controls. And we’re also bringing Gemini in Chrome to mobile in the U.S.

2. Get ready for your agentic browsing assistant

In the coming months, we’ll be introducing agentic capabilities to Gemini in Chrome. These will let Gemini in Chrome handle those tedious tasks that take up so much of your time, like booking a haircut or ordering your weekly groceries.

3. Make better sense of all your tabs

Gemini in Chrome can now work across multiple tabs, so you can quickly compare and summarize information across multiple websites to find what you need.

4. Find webpages you previously visited

For those frustrating instances when you want to jump back into a past project but don’t want to scroll through your history to find an important website you previously visited, soon you’ll be able to use Gemini in Chrome to recall it for you.

5. Work with your Google apps without changing tabs

We’ve also built a deeper integration between Gemini in Chrome and your favorite Google apps, like Calendar, YouTube and Maps, so you can schedule meetings, see location details and more without leaving the page you’re on.

6. Search with AI Mode right from the omnibox

You’ll have the option to quickly access Google Search’s AI Mode right from the Chrome address bar (what we call the omnibox) on your computer.

7. Ask questions and learn more about your current page

You can ask questions about the entire page you’re on right from the omnibox. Chrome can suggest relevant questions based on the context of the page to help you kickstart your search.

8. Combat more sophisticated scams with Gemini Nano

Safe Browsing’s Enhanced Protection mode already uses Gemini Nano to help identify tech support scams that try to trick you into downloading harmful software. Soon, we’ll be expanding this protection to also stop sites that use fake viruses or fake giveaways to trick you.

9. Say goodbye to dodgy notifications and unwanted permissions

Chrome now detects potentially spammy or scammy notifications and gives you the option of seeing them or unsubscribing. Since rolling out this feature, we’ve reduced unwanted website notifications for Chrome on Android users by around 3 billion each day.

10. Change compromised passwords in 1-step

Chrome already automatically and securely fills in your login credentials and proactively alerts you if any of your passwords are compromised. Very soon it’ll use AI as a password agent to go a step further, letting you change your saved passwords with a single click on supported sites.

https://blog.google/products/chrome/new-ai-features-for-chrome

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