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Category: Computing & data (Page 1 of 98)

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.

Microsoft 365 E7 and Agent 365 are now generally available

May 1, 2026 /

From the Microsoft 365 Community blog…

Today, Microsoft 365 E7 – the Frontier Suite – is generally available, offering a single, integrated solution that unifies intelligence and trust, so organizations can move from experimentation to enterprise-wide AI adoption. Microsoft 365 E7 brings these capabilities together in one suite: 

  • Microsoft 365 Copilot: AI built for work
  • Microsoft 365 E5: enterprise‑grade productivity, security, identity, and compliance
  • Microsoft Entra Suite: identity and network access controls that secure employee use of all apps and AI
  • Microsoft Agent 365: the control plane for governing, observing, and securing AI agents at scale

Today also marks the general availability of Microsoft Agent 365. Agent 365 provides a consistent way to:

  • Observe: Gain visibility into agents in your environment, understand how they’re used, and act quickly on performance, behavior, and risk signals before they impact the business.
  • Govern: Establish guardrails for agents and people, onboard agents with IT oversight, and govern agent access to resources and data. Be audit ready with built-in compliance and data retention.
  • Secure: Secure agent identities, control access to resources, prevent data oversharing and leaks, and defend against threats and vulnerabilities with enterprise-grade security solutions.

Microsoft 365 E7 and Agent 365 are now generally available | Microsoft Community Hub

Deepgram launches Flux Multilingual

April 29, 2026 /

Deepgram, a real-time AI infrastructure company in the Voice AI economy, announced the general availability (GA) of Flux Multilingual, expanding its conversational speech recognition model beyond English to support: English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch, with the ability to automatically detect, understand, and switch languages dynamically within a single conversation in real time. Developers, enterprises, and product teams building voice agents now have access to a real-time conversational speech recognition model, delivering accurate turn-taking, interruption handling, low latency, and natural human-like conversations at global scale. 

Traditional automatic speech recognition (ASR) is designed for transcription. Flux introduced a new approach, conversational speech recognition (CSR), built from the ground up to understand dialogue flow and enable real-time interaction. With native support for turn-taking, interruptions, and code-switching within a single interaction, voice applications remain fluid, responsive, and natural regardless of language or region. Flux Multilingual delivers monolingual-grade accuracy across languages. Developers can guide the model with language hints or let it auto-detect, adapting in real time even mid-conversation.

Flux Multilingual is available via Deepgram’s Cloud API or as a self-hosted deployment. Developers can get started today at deepgram.com or try Flux Multilingual directly in the Deepgram Playground.

https://deepgram.com/learn/introducing-flux-multilingual

Acquia enhances Acquia Source

April 28, 2026 /

Acquia announced the next evolution of Acquia Source as a digital command center, a unified intelligent workspace where digital teams manage content, applications, AI agents, and analytics in one place. Acquia also announced Acquia AI, built into Acquia Source, giving builders the tools to create, manage, and deploy AI agents that optimize content, automate governance, and drive AI discoverability.

Acquia Source unifies content management, digital asset management, and web governance into a single agentic command center, aggregating insights across every layer of the content supply chain, surfacing what needs attention, and deploying AI to resolve it. The result reduces operational overhead that disconnected systems impose on enterprise marketing and technical teams.

Acquia Source addresses discoverability at the architectural level. Content is structured for both human engagement and LLM readabilit, ensuring organizations remain the authoritative answer in ChatGPT, Perplexity, and Google AI Overviews. Answer Engine Optimization (AEO) is built directly into the content creation workflow.

Acquia AI enables organizations to build a portfolio of purpose-built agents or deploy Acquia’s ready-made agents, which come with built-in knowledge and domain-specific skills. These capabilities deliver cross-channel ROI intelligence and insight-to-action workflows that help organizations to make faster, more informed decisions.

https://www.acquia.com/newsroom/press-releases/acquia-announces-significant-updates-acquia-source-and-launches-acquia-ai

Otter. ai launches enterprise Conversational Knowledge Engine

April 28, 2026 /

Otter.ai announced the launch of a new Conversational Knowledge Engine, a platform to connect conversations across teams and time, turning what’s said in meetings into structured, searchable knowledge that can drive agentic actions automatically. The launch is supported by three new product capabilities, an expanded MCP server, AI Chat and Otter for Desktop.

The Conversational Knowledge Engine solves a long-standing gap in enterprise software where the decisions, context, and intent of conversational data are lost the moment a meeting ends. Otter.ai’s proprietary Conversational Knowledge Engine can be broken down into three connected ideas: 

  • Conversational. Mapped to meetings and voice, where the majority of enterprise knowledge is actually created.
  • Knowledge. A longitudinal knowledge graph (a continuously growing record of conversations over time), connecting thousands of conversations across thousands of people over time, linking decisions to who made them, the context around them, and the workflows that depend on them.
  • Engine. Puts that graph to work through conversational agentic workflows, where conversations become the trigger for automated action across the enterprise.

All new features are available today.

https://otter.ai/blog/otter-ai-evolves-from-ai-notetaker-to-create-100b-enterprise-conversational-knowledge-engine-market

Tiny Technologies debuts TinyMCE AI

April 16, 2026 /

Tiny Technologies announced the release and general availability of TinyMCE AI, a fully integrated AI writing environment built into the editor.

TinyMCE AI gives content teams everything they need to write, refine and review conversational AI, instant text transformations and automated quality checks without leaving the editor. This addition to the platform means that developers can meet user demand for robust AI content capabilities without adding a technical burden to application teams or imposing model lock-in.

With the new functionalities, developers can enable enterprise-grade AI features via a simple drop-in module. Content teams gain a collaborative writing partner that helps with research, understands the context of a full document, suggests changes through familiar editing markups, adapts to brand guidelines through custom prompts, and automatically catches quality issues.

Starting with version 8.4, key features include:

  • Conversational AI Chat: Enables multi-turn, natural-language conversations with awareness of the active document, and the ability to add additional context via web searches and file attachments.
  • Context-Aware Quick Actions: Applies rewriting, expansion, shortening and tone adjustments.
  • AI Review: Runs automated quality checks; delivers inline suggestions to improve clarity, consistency and accuracy.
  • Custom Prompts: Organizations can define and enforce brand voice, style guidelines, and content standards.

https://www.tiny.cloud/tinymce

Canva introduces Canva AI 2.0

April 15, 2026 /

Canva introduced Canva AI 2.0, transforming Canva into a conversational, agentic platform where teams can go from the spark of an idea to complete, published work in one place.

Powered by the Canva Design Model – a foundation model built to understand the structure, hierarchy, and complexity of real-world design – Canva AI 2.0 generates layered, editable output from a single prompt, and gets smarter the more you use it.

Available as a research preview, Canva AI 2.0 introduces a new architecture layer spanning conversational design, iterative agentic editing, layered object intelligence, and living memory, alongside six new intelligent workflows: connectors, scheduling, web research, brand intelligence, Sheets AI, and Canva Code 2.0.

Conversational design Describe an idea, goal, or rough structure, and Canva AI generates an editable design with layout, hierarchy, and brand, then stays with you throughout the process.

Agentic orchestration gives Canva AI access to Canva’s complete design engine, calling the right tools at the right time.

Layered object intelligence everything Canva AI generates is built from scratch using individual, editable objects.

Memory Library turns interactions into building blocks. With persistent memory, Canva AI 2.0 understands how you work, keeps every project on brand, and applies your style automatically.

https://www.canva.com/newsroom/news/canva-create-2026-ai

Adobe unveils Firefly AI Assistant with new creative agent

April 15, 2026 /

Adobe unveiled Firefly AI Assistant, powered by Adobe’s creative agent, bringing Adobe’s creative tools into a single conversational interface. Available soon in Adobe Firefly, an all-in-one creative AI studio, Firefly AI Assistant enables creators to describe the outcome they want using their own words as the assistant orchestrates and executes complex, multi-step workflows across Adobe’s Creative Cloud apps, including Firefly, Photoshop, Premiere, Lightroom, Express, Illustrator and more.

For creators of all levels, this shift to agentic creation simplifies the process of getting started and making progress quickly without navigating multiple apps or manual steps. For creative professionals, it unlocks the ability to direct more complex, multi-step workflows, combining speed with the control and precision required for high-quality creative work.

Adobe also expanded Firefly’s video and image editing capabilities, introducing new features in Firefly Video Editor including studio-quality sound, advanced color adjustments and Adobe Stock integration, as well as new precision image editing capabilities such as Precision Flow and AI Markup.

Adobe will also bring this new way of creating with Adobe apps to third-party AI models including Anthropic’s Claude, enabling creators to access the best of Adobe directly across the surfaces where they work every day.

https://news.adobe.com/news/2026/04/adobe-new-creative-agent

MadCap updates MadCap Syndicate platform

April 2, 2026 /

MadCap Software, Inc., a provider of multi-channel content authoring, management and publishing software, introduced the Spring 2026 release of MadCap Syndicate, a platform for content delivery, aggregation, and artificial intelligence (AI) enablement. The new version adds AI-powered features for enriching users’ experiences, managing content, maximizing the quality of AI-generated content and analysis, and improving the effectiveness of AI agents.

  • AI-Powered Semantic Search. Syndicate supports AI-powered semantic search that understands the context of content whether answering a user’s question or conducting duplicate content analysis.
  • Portals enable the creation of customized public or private portals that provide top-to-bottom control of the user experience and leverage the power of Syndicate’s semantic AI.
  • Tech Docs Integration provides direct, seamless connections to MadCap Flare and MadCap IXIA CCMS for technical documentation, complementing learning and development content, further facilitating content unification.
  • Automated Content Classification and Tagging driven by AI and machine learning improves search and analysis by content teams and AI agents.

All features of the Spring 2026 release of MadCap Syndicate are available today, except semantic duplication analysis and automated content classification and tagging, which will be released in April 2026.

https://www.madcapsoftware.com/press-release/madcap-syndicate-brings-ai-enablement-to-corporate-content

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