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Category: Content management & strategy (Page 1 of 486)

This category includes editorial and news blog posts related to content management and content strategy. For older, long form reports, papers, and research on these topics see our Resources page.

Content management is a broad topic that refers to the management of unstructured or semi-structured content as a standalone system or a component of another system. Varieties of content management systems (CMS) include: web content management (WCM), enterprise content management (ECM), component content management (CCM), and digital asset management (DAM) systems. Content management systems are also now widely marketed as Digital Experience Management (DEM or DXM, DXP), and Customer Experience Management (CEM or CXM) systems or platforms, and may include additional marketing technology functions.

Content strategy topics include information architecture, content and information models, content globalization, and localization.

For some historical perspective see:

https://gilbane.com/gilbane-report-vol-8-num-8-what-is-content-management/

SAP Unveils the Autonomous Enterprise

May 12, 2026 /

SAP introduced the Autonomous Enterprise to help enhance critical business workflows, so that humans and AI work together to meet the accelerating demands of global business profitably, strategically and safely.

The Autonomous Enterprise includes a unified AI platform for building, contextualizing and governing agents, an autonomous suite that executes core business operations and a new user experience that redefines how people work with enterprise software.

SAP Business AI Platform unifies SAP Business Technology Platform, SAP Business Data Cloud and SAP Business AI into a single, governed environment.

At its core is the SAP Knowledge Graph solution, which gives AI agents a structured map of business entities, processes and relationships across a customer’s SAP landscape. Joule Studio is SAP’s AI-first solution for building enterprise agents, applications and agentic workflows. Developers can build using the no-code, pro-code and AI frameworks of their choice on SAP-managed infrastructure.

SAP also introduced SAP Autonomous Suite, which enables SAP’s existing business applications with AI agents capable of running processes from start-to-finish. The suite will deploy 50+ domain-specific Joule Assistants across finance, supply chain, procurement, human capital management and customer experience. These assistants will automate processes by orchestrating a subset of over 200 specialized agents to execute tasks.

https://news.sap.com/2026/05/sap-sapphire-sap-unveils-autonomous-enterprise/

Aprimo unveils Interconnected Content Operations

May 12, 2026 /

Aprimo, a provider of digital asset management and content operations solutions, announced its May 2026 release: Interconnected Content Operations. The release expands Aprimo’s agentic AI, DAM, and unified platform capabilities to help enterprise marketing teams automate content workflows, improve asset discovery, streamline reviews, and connect digital assets, work management, and marketing spend.

With Interconnected Content Operations, Aprimo brings AI-powered automation, digital assets, work management, reviews, and spend controls into a more unified operating model for enterprise marketing teams. The release is designed to help brands reduce manual handoffs, improve visibility, and move content from planning to activation with greater speed, control, and confidence. The release expands Aprimo’s platform across:

Agentic Content Operations — Extended agentic capabilities across DAM and Spend to help teams automate more of the manual work that slows content operations. New capabilities help teams use librarian agents to customize ingestion, enrich complex content, and automate invoice processing.

DAM Usability — Aprimo is improving everyday DAM experiences so users can upload, protect, search, and reuse content faster.

Unified Platform Experiences — The Unified Search Experience brings work management and DAM results into a single results experience, helping users find content and work objects from one place.

https://www.aprimo.com/blog/interconnected-content-operations-in-action

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

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