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Category: Enterprise software & integration (Page 1 of 39)

Microsoft 365 E7 and Agent 365 are now generally available

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

Acquia enhances Acquia Source

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

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

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

Pantheon adds Next.js to WebOps platform

Pantheon, a WebOps platform for running the web as one system, released managed Next.js. Changing how organizations deploy modern frameworks; moving from fragmented, multi-vendor stacks toward cohesive website operations where WordPress, Drupal, and Next.js sites are managed in one place. 

With Next.js part of Pantheon.io’s WebOps platform, teams can move from fragmented workflows to a unified system that manages CMS and frontend under one dashboard, one workflow, and one contract. 

  • Operational Velocity on a Single Stack: Eliminate the second vendor tax by unifying WordPress, Drupal, and Next.js on the same platform. A single Git workflow and the Terminus CLI allow developers to manage the CMS and frontend as one, using real-time GitHub build syncing to ship faster.
  • Enterprise Governance Without Bottlenecks: Automated CI/CD, Secrets Management, and Multidev environments ensure pull requests are tested before production. Standardized runtime controls provide enterprise-scale security without handoff delays.
  • Faster Publishing and Technical SEO: Move content in parallel with code. Content Publisher syncs Google Docs and Microsoft Word directly to your Next.js frontend — no dev ticket required. Integrated caching and a global CDN ensure sub-second load times, boosting user retention and AI/search authority signals.
  • Predictable Costs at Professional Scale: Contract-based pricing eliminates bandwidth overages and per-invocation charges.

https://pantheon.io/platform/nextjs

Box unveils the Box Agent

Box, Inc., an Intelligent Content Management (ICM) platform, announced the general availability of the Box Agent, an AI-powered capability that takes natural language instructions to reason and complete complex tasks, allowing enterprises to work more effectively with unstructured data. Acting as a unified AI engine across Box, the Box Agent leverages the latest advanced reasoning models to securely search company files, analyze and synthesize critical data, and generate new content, while respecting Box’s enterprise-grade security, governance, and permissions controls. Box also announced enhancements to Box AI Studio, allowing admins to develop custom agents tailored to complex, business-specific use cases.

Leveraging AI capabilities from OpenAI, Anthropic, and Google, the Box Agent is able to autonomously understand a user’s intent based on their prompt, find the right content needed to execute that task, reflect on the work it needs to do, and iterate until it can successfully answer the user’s request. This all takes place within Box AI’s new conversational interface, which provides the ability to revisit previous sessions where users can iterate, refine, and return to work from where they left off.

Customers on the Enterprise Plus and Enterprise Advanced plans can start using the Box Agent today.

https://www.boxinvestorrelations.com/news-and-media/news/press-release-details/2026/Box-Unveils-the-Box-Agent-to-Transform-How-Enterprises-Work-With-Content/default.aspx

Adobe and NVIDIA announce strategic partnership

Adobe and NVIDIA today announced a strategic partnership that will bring together Adobe’s creative and marketing workflows, models and technology and NVIDIA’s open models, libraries, research and accelerated computing to deliver the next generation of foundational Adobe Firefly models and creative, marketing and agentic workflows.

Firefly models will be built on NVIDIA’s computing technology and tap into NVIDIA CUDA-X, NVIDIA NeMo libraries, NVIDIA Cosmos open models, and NVIDIA Agent Toolkit software to enable interactive, high-quality creation.

Adobe and NVIDIA will also work together on NVIDIA NemoClaw— an open source stack that simplifies running OpenClaw always-on assistants more safely.

With NVIDIA, Adobe is launching a cloud-native, brand identity-preserving 3D digital twin solution (public beta). The solution creates virtual replicas of physical products that act as permanent digital identities for marketing and commerce experiences. Integrating NVIDIA Omniverse libraries into Adobe technologies, the collaboration expands support for 3D digital twin workflows built on OpenUSD for marketing content automation.

Adobe will also harness NVIDIA AI infrastructure, AI libraries, services and models to optimize its AI-powered tools across creativity, productivity and customer experience orchestration.

Adobe and NVIDIA Announce Strategic Partnership to Deliver the Next Generation of Firefly Models and Creative, Marketing and Agentic Workflows

Databricks launches Genie Code

Databricks launched Genie Code, an autonomous AI agent that changes how data work gets done. Genie Code can carry out complex tasks such as building pipelines, debugging failures, shipping dashboards, and maintaining production systems. Just as agentic coding tools have transformed software engineering, moving developers from autocomplete-style assistance to agent-driven development, Genie Code brings the same paradigm shift to data engineering, data science, and analytics.

Genie Code is a new addition to Genie, which lets any knowledge worker chat with their data and get trusted answers instantly using the context and semantics captured by Unity Catalog. Genie Code extends this approach to data professionals, handling the complex engineering required to go from idea to production across all enterprise data.

Genie Code helps teams bridge the context gap to ensure the high levels of accuracy and governance required for production environments:

  • Handles full ML workflows end-to-end.
  • Accounts for differences between staging versus production environments, builds workflows for change data capture and applies data quality expectations.
  • Monitors Lakeflow pipelines and AI models to triage failures and investigate anomalies.
  • Integrated with Unity Catalog, enforces governance policies and access controls. It understands business semantics and audit requirements and federates enterprise data, including data from external platforms.

https://www.databricks.com/company/newsroom/press-releases/databricks-launches-genie-code-bringing-agentic-engineering-data

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