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Category: Computing & data (Page 1 of 93)

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.

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

Introducing Markup AI: Your enterprise content guardian agent

Generative AI has unleashed content that traditional review processes can’t keep up with. Content marketers use AI, yet most tools stop at spelling, grammar, or readability checks. Enterprises operate at industrial scale with thousands of authors, dozens of LLMs, millions of pages, and vast policy and terminology libraries. Without automated oversight, risk compounds fast.

Launched as a spinoff of NLP pioneer Acrolinx, Markup AI delivers an integrated suite of Content Guardian Agents for enterprise use cases:

  • Scan, Score, Rewrite – Agents analyze content against brand, terminology, compliance, and industry standards, assign a deterministic trust score, and instantly provide actionable rewrites.
  • Customizable Criteria – Enterprises can set governance rules (rewrite automatically or require human review) to balance efficiency and oversight.
  • Developer-First Architecture – With an API-first, MCP-powered design, Content Guardian Agents integrate into tools enterprises already use including Cursor, Figma, ChatGPT, Github Actions, Zapier. These integrations deliver compliance and quality checks without disrupting workflows.
  • Enterprise-Ready Scalability – Built for mission-critical environments, Guardian Agents plug into CI/CD pipelines, authoring tools, and enterprise applications to guard content wherever it’s created.

Markup AI also launched five AI Agents to address a core element of content quality: Terminology Agent, Consistency Agent, Tone Agent, Clarity Agent, Spelling & Grammar Agent.

https://markup.ai/blog/introducing-markup-ai-your-enterprise-content-guardian/

Market Logic launches DeepSights Persona Agents

Market Logic Software released DeepSights Persona Agents, that transform static customer profiles into dynamic, AI-powered conversational personas.  DeepSights Persona Agents enable real-time, natural language interactions that allow marketing, insights, and product teams to explore and test ideas.

DeepSights Persona Agents are synthetic representations of customer groups, built from segmentation data and behavioural insights. Guided by detailed prompts, each Persona Agent Persona Agent reflects a specific segment’s mindset, behaviours, and preferences.

Business users can engage with personas to ask questions, test creative content, and ideate products or campaigns without waiting for live research.  Conversations can be conducted with one Persona Agent or with several Persona Agents simultaneously in a virtual focus group.

DeepSights Persona Agents are modeled on data unique to each business:

  • Summaries of the reports research teams have already built using quantitative and qualitative data can be incorporated into the platform and transformed into interactive characters.
  • Where companies do not have existing segment analysis, Market Logic can generate interactive personas from transcripts of interviews with their own human customers.

Market Logic provides an implementation service of less than two weeks incorporating setup, testing, and rollout support.

https://marketlogicsoftware.com/news/2025/market-logic-launches-persona-agents-a-breakthrough-in-ai-powered-customer-insight

Adobe releases AI agents for customer experience orchestration

Adobe announced the general availability of AI agents to help businesses build, deliver and optimize customer experiences and marketing campaigns. Powered by the Adobe Experience Platform (AEP) Agent Orchestrator, Adobe is also creating an AI platform for businesses to manage and customize agents from Adobe and across third-party ecosystems, ensuring agents can understand context, plan multi-step actions, and refine responses. AEP, used by businesses to connect real-time data across their organization, anchors Adobe’s offerings in understanding enterprise data, content and workflows.

Adobe also announced the general availability of AEP Agent Orchestrator, including a reasoning engine to drive contextually relevant and goal-oriented automated actions, with support for refinement using a “human-in-the-loop” approach.

Out-of-the-box agents will be available in Adobe applications such as Real-Time Customer Data Platform, Experience Manager, Journey Optimizer, and Customer Journey Analytics.

  • Audience Agent helps teams create and monitor audiences for personalization initiatives.
  • Journey Agent supports building and optimizing customer journeys across channels.
  • Experimentation Agent analyzes test results and suggests optimizations.
  • Data Insights Agent enables visualization and forecasting from customer signals.
  • Site Optimization Agent flags website issues such as broken links or low-performing pages.
  • Product Support Agent assists users with troubleshooting, case creation, and tracking.

https://news.adobe.com/news/2025/09/adobe-announces-general-availability-ai-agents

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